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316
+ "question_id": "ACRIMA_0024",
317
+ "question_type": "Modality Recognition",
318
+ "question": "What method was utilized to obtain this image?",
319
+ "gt_answer": "Fundus imaging",
320
+ "image_path": "Images/ACRIMA/Im480_g_ACRIMA.png",
321
+ "option_A": "PET scan",
322
+ "option_B": "CT scan",
323
+ "option_C": "Fundus imaging",
324
+ "option_D": "Colonoscopy",
325
+ "modality_type": "Fundus Photography"
326
+ },
327
+ {
328
+ "dataset": "ACRIMA",
329
+ "question_id": "ACRIMA_0025",
330
+ "question_type": "Modality Recognition",
331
+ "question": "What imaging technique was employed to obtain this image?",
332
+ "gt_answer": "Fundus imaging",
333
+ "image_path": "Images/ACRIMA/Im641_g_ACRIMA.png",
334
+ "option_A": "Fundus imaging",
335
+ "option_B": "CT scan",
336
+ "option_C": "Electroencephalogram (EEG)",
337
+ "option_D": "X-ray",
338
+ "modality_type": "Fundus Photography"
339
+ },
340
+ {
341
+ "dataset": "ACRIMA",
342
+ "question_id": "ACRIMA_0026",
343
+ "question_type": "Modality Recognition",
344
+ "question": "Which imaging modality was utilized to acquire this image?",
345
+ "gt_answer": "Fundus imaging",
346
+ "image_path": "Images/ACRIMA/Im338_g_ACRIMA.png",
347
+ "option_A": "Fundus imaging",
348
+ "option_B": "Electroencephalogram (EEG)",
349
+ "option_C": "Biopsy",
350
+ "option_D": "Blood test",
351
+ "modality_type": "Fundus Photography"
352
+ },
353
+ {
354
+ "dataset": "ACRIMA",
355
+ "question_id": "ACRIMA_0027",
356
+ "question_type": "Modality Recognition",
357
+ "question": "What method was employed to obtain this picture?",
358
+ "gt_answer": "Fundus imaging",
359
+ "image_path": "Images/ACRIMA/Im176_ACRIMA.png",
360
+ "option_A": "CT scan",
361
+ "option_B": "Blood test",
362
+ "option_C": "Fundus imaging",
363
+ "option_D": "X-ray",
364
+ "modality_type": "Fundus Photography"
365
+ },
366
+ {
367
+ "dataset": "ACRIMA",
368
+ "question_id": "ACRIMA_0028",
369
+ "question_type": "Modality Recognition",
370
+ "question": "What imaging technique was utilized to acquire this picture?",
371
+ "gt_answer": "Fundus imaging",
372
+ "image_path": "Images/ACRIMA/Im486_g_ACRIMA.png",
373
+ "option_A": "Fundus imaging",
374
+ "option_B": "PET scan",
375
+ "option_C": "Ultrasound",
376
+ "option_D": "CT scan",
377
+ "modality_type": "Fundus Photography"
378
+ },
379
+ {
380
+ "dataset": "ACRIMA",
381
+ "question_id": "ACRIMA_0029",
382
+ "question_type": "Modality Recognition",
383
+ "question": "What modality was used to capture this image?",
384
+ "gt_answer": "Fundus imaging",
385
+ "image_path": "Images/ACRIMA/Im603_g_ACRIMA.png",
386
+ "option_A": "Fundus imaging",
387
+ "option_B": "Electroencephalogram (EEG)",
388
+ "option_C": "PET scan",
389
+ "option_D": "Electrocardiogram (ECG)",
390
+ "modality_type": "Fundus Photography"
391
+ },
392
+ {
393
+ "dataset": "ACRIMA",
394
+ "question_id": "ACRIMA_0030",
395
+ "question_type": "Modality Recognition",
396
+ "question": "What modality was used to capture this image?",
397
+ "gt_answer": "Fundus imaging",
398
+ "image_path": "Images/ACRIMA/Im248_ACRIMA.png",
399
+ "option_A": "Blood test",
400
+ "option_B": "Fundus imaging",
401
+ "option_C": "MRI",
402
+ "option_D": "PET scan",
403
+ "modality_type": "Fundus Photography"
404
+ },
405
+ {
406
+ "dataset": "ACRIMA",
407
+ "question_id": "ACRIMA_0031",
408
+ "question_type": "Modality Recognition",
409
+ "question": "Which imaging technique was utilized to capture this image?",
410
+ "gt_answer": "Fundus imaging",
411
+ "image_path": "Images/ACRIMA/Im332_g_ACRIMA.png",
412
+ "option_A": "Ultrasound",
413
+ "option_B": "Fundus imaging",
414
+ "option_C": "Electrocardiogram (ECG)",
415
+ "option_D": "PET scan",
416
+ "modality_type": "Fundus Photography"
417
+ },
418
+ {
419
+ "dataset": "ACRIMA",
420
+ "question_id": "ACRIMA_0032",
421
+ "question_type": "Modality Recognition",
422
+ "question": "What imaging technique was employed to acquire this image?",
423
+ "gt_answer": "Fundus imaging",
424
+ "image_path": "Images/ACRIMA/Im477_g_ACRIMA.png",
425
+ "option_A": "Fundus imaging",
426
+ "option_B": "CT scan",
427
+ "option_C": "Blood test",
428
+ "option_D": "MRI",
429
+ "modality_type": "Fundus Photography"
430
+ },
431
+ {
432
+ "dataset": "ACRIMA",
433
+ "question_id": "ACRIMA_0033",
434
+ "question_type": "Modality Recognition",
435
+ "question": "What modality was used to capture this image?",
436
+ "gt_answer": "Fundus imaging",
437
+ "image_path": "Images/ACRIMA/Im262_ACRIMA.png",
438
+ "option_A": "Fundus imaging",
439
+ "option_B": "Ultrasound",
440
+ "option_C": "MRI",
441
+ "option_D": "X-ray",
442
+ "modality_type": "Fundus Photography"
443
+ },
444
+ {
445
+ "dataset": "ACRIMA",
446
+ "question_id": "ACRIMA_0034",
447
+ "question_type": "Disease Diagnosis",
448
+ "question": "Is there anything abnormal or evidence of glaucoma in the eyes in this image?",
449
+ "gt_answer": "It's normal, glaucoma negative",
450
+ "image_path": "Images/ACRIMA/Im041_ACRIMA.png",
451
+ "option_A": "Optic nerve damage noted",
452
+ "option_B": "Conjunctivitis diagnosed",
453
+ "option_C": "It's normal, glaucoma negative",
454
+ "option_D": "Cataracts present",
455
+ "modality_type": "Fundus Photography"
456
+ },
457
+ {
458
+ "dataset": "ACRIMA",
459
+ "question_id": "ACRIMA_0035",
460
+ "question_type": "Disease Diagnosis",
461
+ "question": "What is the condition of the eyes in this image?",
462
+ "gt_answer": "It's normal, glaucoma negative",
463
+ "image_path": "Images/ACRIMA/Im015_ACRIMA.png",
464
+ "option_A": "Myopia positive",
465
+ "option_B": "Corneal ulcer identified",
466
+ "option_C": "It's normal, glaucoma negative",
467
+ "option_D": "Astigmatism detected",
468
+ "modality_type": "Fundus Photography"
469
+ },
470
+ {
471
+ "dataset": "ACRIMA",
472
+ "question_id": "ACRIMA_0036",
473
+ "question_type": "Disease Diagnosis",
474
+ "question": "What is the condition of the eyes in this image?",
475
+ "gt_answer": "It's normal, glaucoma negative",
476
+ "image_path": "Images/ACRIMA/Im056_ACRIMA.png",
477
+ "option_A": "Astigmatism detected",
478
+ "option_B": "Macular degeneration evident",
479
+ "option_C": "Optic nerve damage noted",
480
+ "option_D": "It's normal, glaucoma negative",
481
+ "modality_type": "Fundus Photography"
482
+ },
483
+ {
484
+ "dataset": "ACRIMA",
485
+ "question_id": "ACRIMA_0037",
486
+ "question_type": "Disease Diagnosis",
487
+ "question": "Is the condition of the eyes in this image normal or does it show any sign of glaucoma?",
488
+ "gt_answer": "It's normal, glaucoma negative",
489
+ "image_path": "Images/ACRIMA/Im009_ACRIMA.png",
490
+ "option_A": "Astigmatism detected",
491
+ "option_B": "Macular degeneration evident",
492
+ "option_C": "It's normal, glaucoma negative",
493
+ "option_D": "Age-related macular degeneration diagnosed",
494
+ "modality_type": "Fundus Photography"
495
+ },
496
+ {
497
+ "dataset": "ACRIMA",
498
+ "question_id": "ACRIMA_0038",
499
+ "question_type": "Disease Diagnosis",
500
+ "question": "What is the condition of the eyes in this image?",
501
+ "gt_answer": "It's normal, glaucoma negative",
502
+ "image_path": "Images/ACRIMA/Im086_ACRIMA.png",
503
+ "option_A": "Retinal detachment confirmed",
504
+ "option_B": "It's normal, glaucoma negative",
505
+ "option_C": "Macular degeneration evident",
506
+ "option_D": "Color blindness confirmed",
507
+ "modality_type": "Fundus Photography"
508
+ },
509
+ {
510
+ "dataset": "ACRIMA",
511
+ "question_id": "ACRIMA_0039",
512
+ "question_type": "Disease Diagnosis",
513
+ "question": "What is the condition of the eyes in this image?",
514
+ "gt_answer": "It's normal, glaucoma negative",
515
+ "image_path": "Images/ACRIMA/Im080_ACRIMA.png",
516
+ "option_A": "Retinal detachment confirmed",
517
+ "option_B": "Corneal ulcer identified",
518
+ "option_C": "It's normal, glaucoma negative",
519
+ "option_D": "Astigmatism detected",
520
+ "modality_type": "Fundus Photography"
521
+ },
522
+ {
523
+ "dataset": "ACRIMA",
524
+ "question_id": "ACRIMA_0040",
525
+ "question_type": "Disease Diagnosis",
526
+ "question": "What is the condition of the eyes in this image?",
527
+ "gt_answer": "It's normal, glaucoma negative",
528
+ "image_path": "Images/ACRIMA/Im076_ACRIMA.png",
529
+ "option_A": "Conjunctivitis diagnosed",
530
+ "option_B": "Macular degeneration evident",
531
+ "option_C": "It's normal, glaucoma negative",
532
+ "option_D": "Optic nerve damage noted",
533
+ "modality_type": "Fundus Photography"
534
+ },
535
+ {
536
+ "dataset": "ACRIMA",
537
+ "question_id": "ACRIMA_0041",
538
+ "question_type": "Disease Diagnosis",
539
+ "question": "What is the condition of the eyes in this image?",
540
+ "gt_answer": "It's normal, glaucoma negative",
541
+ "image_path": "Images/ACRIMA/Im163_ACRIMA.png",
542
+ "option_A": "Age-related macular degeneration diagnosed",
543
+ "option_B": "Macular degeneration evident",
544
+ "option_C": "It's normal, glaucoma negative",
545
+ "option_D": "Cataracts present",
546
+ "modality_type": "Fundus Photography"
547
+ },
548
+ {
549
+ "dataset": "ACRIMA",
550
+ "question_id": "ACRIMA_0042",
551
+ "question_type": "Disease Diagnosis",
552
+ "question": "What is the condition of the eyes in this image?",
553
+ "gt_answer": "It's normal, glaucoma negative",
554
+ "image_path": "Images/ACRIMA/Im032_ACRIMA.png",
555
+ "option_A": "Astigmatism detected",
556
+ "option_B": "Retinal detachment confirmed",
557
+ "option_C": "It's normal, glaucoma negative",
558
+ "option_D": "Cataracts present",
559
+ "modality_type": "Fundus Photography"
560
+ },
561
+ {
562
+ "dataset": "ACRIMA",
563
+ "question_id": "ACRIMA_0043",
564
+ "question_type": "Disease Diagnosis",
565
+ "question": "Is there any abnormality or presence of glaucoma in the eyes in this image?",
566
+ "gt_answer": "It's normal, glaucoma negative",
567
+ "image_path": "Images/ACRIMA/Im212_ACRIMA.png",
568
+ "option_A": "It's normal, glaucoma negative",
569
+ "option_B": "Color blindness confirmed",
570
+ "option_C": "Conjunctivitis diagnosed",
571
+ "option_D": "Retinal detachment confirmed",
572
+ "modality_type": "Fundus Photography"
573
+ },
574
+ {
575
+ "dataset": "ACRIMA",
576
+ "question_id": "ACRIMA_0044",
577
+ "question_type": "Disease Diagnosis",
578
+ "question": "What is the condition of the eyes in this image?",
579
+ "gt_answer": "It's normal, glaucoma negative",
580
+ "image_path": "Images/ACRIMA/Im230_ACRIMA.png",
581
+ "option_A": "Retinal detachment confirmed",
582
+ "option_B": "It's normal, glaucoma negative",
583
+ "option_C": "Conjunctivitis diagnosed",
584
+ "option_D": "Corneal ulcer identified",
585
+ "modality_type": "Fundus Photography"
586
+ },
587
+ {
588
+ "dataset": "ACRIMA",
589
+ "question_id": "ACRIMA_0045",
590
+ "question_type": "Disease Diagnosis",
591
+ "question": "Is there any abnormality or presence of glaucoma in the eyes in this image?",
592
+ "gt_answer": "It's normal, glaucoma negative",
593
+ "image_path": "Images/ACRIMA/Im002_ACRIMA.png",
594
+ "option_A": "Myopia positive",
595
+ "option_B": "Conjunctivitis diagnosed",
596
+ "option_C": "It's normal, glaucoma negative",
597
+ "option_D": "Retinal detachment confirmed",
598
+ "modality_type": "Fundus Photography"
599
+ },
600
+ {
601
+ "dataset": "ACRIMA",
602
+ "question_id": "ACRIMA_0046",
603
+ "question_type": "Disease Diagnosis",
604
+ "question": "What is the status of the eyes shown in this image?",
605
+ "gt_answer": "It's normal, glaucoma negative",
606
+ "image_path": "Images/ACRIMA/Im114_ACRIMA.png",
607
+ "option_A": "Conjunctivitis diagnosed",
608
+ "option_B": "It's normal, glaucoma negative",
609
+ "option_C": "Myopia positive",
610
+ "option_D": "Optic nerve damage noted",
611
+ "modality_type": "Fundus Photography"
612
+ },
613
+ {
614
+ "dataset": "ACRIMA",
615
+ "question_id": "ACRIMA_0047",
616
+ "question_type": "Disease Diagnosis",
617
+ "question": "How does the ocular health appear in the provided photograph, particularly in relation to glaucoma?",
618
+ "gt_answer": "It's normal, glaucoma negative",
619
+ "image_path": "Images/ACRIMA/Im104_ACRIMA.png",
620
+ "option_A": "Corneal ulcer identified",
621
+ "option_B": "Retinal detachment confirmed",
622
+ "option_C": "It's normal, glaucoma negative",
623
+ "option_D": "Astigmatism detected",
624
+ "modality_type": "Fundus Photography"
625
+ },
626
+ {
627
+ "dataset": "ACRIMA",
628
+ "question_id": "ACRIMA_0048",
629
+ "question_type": "Disease Diagnosis",
630
+ "question": "What is the condition of the eyes in this image?",
631
+ "gt_answer": "It's normal, glaucoma negative",
632
+ "image_path": "Images/ACRIMA/Im269_ACRIMA.png",
633
+ "option_A": "Macular degeneration evident",
634
+ "option_B": "It's normal, glaucoma negative",
635
+ "option_C": "Age-related macular degeneration diagnosed",
636
+ "option_D": "Cataracts present",
637
+ "modality_type": "Fundus Photography"
638
+ },
639
+ {
640
+ "dataset": "ACRIMA",
641
+ "question_id": "ACRIMA_0049",
642
+ "question_type": "Disease Diagnosis",
643
+ "question": "Is the condition of the eyes in this image normal or is glaucoma present?",
644
+ "gt_answer": "It's normal, glaucoma negative",
645
+ "image_path": "Images/ACRIMA/Im143_ACRIMA.png",
646
+ "option_A": "It's normal, glaucoma negative",
647
+ "option_B": "Age-related macular degeneration diagnosed",
648
+ "option_C": "Macular degeneration evident",
649
+ "option_D": "Optic nerve damage noted",
650
+ "modality_type": "Fundus Photography"
651
+ },
652
+ {
653
+ "dataset": "ACRIMA",
654
+ "question_id": "ACRIMA_0050",
655
+ "question_type": "Disease Diagnosis",
656
+ "question": "What is the condition of the eyes in this image?",
657
+ "gt_answer": "It's normal, glaucoma negative",
658
+ "image_path": "Images/ACRIMA/Im307_ACRIMA.png",
659
+ "option_A": "Optic nerve damage noted",
660
+ "option_B": "Astigmatism detected",
661
+ "option_C": "It's normal, glaucoma negative",
662
+ "option_D": "Corneal ulcer identified",
663
+ "modality_type": "Fundus Photography"
664
+ },
665
+ {
666
+ "dataset": "ACRIMA",
667
+ "question_id": "ACRIMA_0051",
668
+ "question_type": "Disease Diagnosis",
669
+ "question": "Is the condition of the eyes in this image normal or is glaucoma present?",
670
+ "gt_answer": "It's normal, glaucoma negative",
671
+ "image_path": "Images/ACRIMA/Im028_ACRIMA.png",
672
+ "option_A": "It's normal, glaucoma negative",
673
+ "option_B": "Cataracts present",
674
+ "option_C": "Optic nerve damage noted",
675
+ "option_D": "Color blindness confirmed",
676
+ "modality_type": "Fundus Photography"
677
+ },
678
+ {
679
+ "dataset": "ACRIMA",
680
+ "question_id": "ACRIMA_0052",
681
+ "question_type": "Disease Diagnosis",
682
+ "question": "What is the condition of the eyes in this image?",
683
+ "gt_answer": "It's normal, glaucoma negative",
684
+ "image_path": "Images/ACRIMA/Im223_ACRIMA.png",
685
+ "option_A": "Macular degeneration evident",
686
+ "option_B": "Color blindness confirmed",
687
+ "option_C": "It's normal, glaucoma negative",
688
+ "option_D": "Retinal detachment confirmed",
689
+ "modality_type": "Fundus Photography"
690
+ },
691
+ {
692
+ "dataset": "ACRIMA",
693
+ "question_id": "ACRIMA_0053",
694
+ "question_type": "Disease Diagnosis",
695
+ "question": "Is the condition of the eyes in this image normal or does it indicate glaucoma?",
696
+ "gt_answer": "It's normal, glaucoma negative",
697
+ "image_path": "Images/ACRIMA/Im241_ACRIMA.png",
698
+ "option_A": "Color blindness confirmed",
699
+ "option_B": "Retinal detachment confirmed",
700
+ "option_C": "Macular degeneration evident",
701
+ "option_D": "It's normal, glaucoma negative",
702
+ "modality_type": "Fundus Photography"
703
+ },
704
+ {
705
+ "dataset": "ACRIMA",
706
+ "question_id": "ACRIMA_0054",
707
+ "question_type": "Disease Diagnosis",
708
+ "question": "What is the status of the eyes depicted in the image in terms of glaucoma?",
709
+ "gt_answer": "It's normal, glaucoma negative",
710
+ "image_path": "Images/ACRIMA/Im302_ACRIMA.png",
711
+ "option_A": "Myopia positive",
712
+ "option_B": "It's normal, glaucoma negative",
713
+ "option_C": "Corneal ulcer identified",
714
+ "option_D": "Color blindness confirmed",
715
+ "modality_type": "Fundus Photography"
716
+ },
717
+ {
718
+ "dataset": "ACRIMA",
719
+ "question_id": "ACRIMA_0055",
720
+ "question_type": "Disease Diagnosis",
721
+ "question": "What is the eye examination result for this image?",
722
+ "gt_answer": "It's normal, glaucoma negative",
723
+ "image_path": "Images/ACRIMA/Im123_ACRIMA.png",
724
+ "option_A": "Astigmatism detected",
725
+ "option_B": "Age-related macular degeneration diagnosed",
726
+ "option_C": "It's normal, glaucoma negative",
727
+ "option_D": "Optic nerve damage noted",
728
+ "modality_type": "Fundus Photography"
729
+ },
730
+ {
731
+ "dataset": "ACRIMA",
732
+ "question_id": "ACRIMA_0056",
733
+ "question_type": "Disease Diagnosis",
734
+ "question": "What is the condition of the eyes in this image?",
735
+ "gt_answer": "It's normal, glaucoma negative",
736
+ "image_path": "Images/ACRIMA/Im171_ACRIMA.png",
737
+ "option_A": "Astigmatism detected",
738
+ "option_B": "Optic nerve damage noted",
739
+ "option_C": "It's normal, glaucoma negative",
740
+ "option_D": "Cataracts present",
741
+ "modality_type": "Fundus Photography"
742
+ },
743
+ {
744
+ "dataset": "ACRIMA",
745
+ "question_id": "ACRIMA_0057",
746
+ "question_type": "Disease Diagnosis",
747
+ "question": "Is the condition of the eyes in this image normal or is it negative for glaucoma?",
748
+ "gt_answer": "It's normal, glaucoma negative",
749
+ "image_path": "Images/ACRIMA/Im203_ACRIMA.png",
750
+ "option_A": "Age-related macular degeneration diagnosed",
751
+ "option_B": "Macular degeneration evident",
752
+ "option_C": "It's normal, glaucoma negative",
753
+ "option_D": "Corneal ulcer identified",
754
+ "modality_type": "Fundus Photography"
755
+ },
756
+ {
757
+ "dataset": "ACRIMA",
758
+ "question_id": "ACRIMA_0058",
759
+ "question_type": "Disease Diagnosis",
760
+ "question": "Is there any abnormality in the eye condition depicted in this image?",
761
+ "gt_answer": "It's normal, glaucoma negative",
762
+ "image_path": "Images/ACRIMA/Im051_ACRIMA.png",
763
+ "option_A": "It's normal, glaucoma negative",
764
+ "option_B": "Color blindness confirmed",
765
+ "option_C": "Retinal detachment confirmed",
766
+ "option_D": "Cataracts present",
767
+ "modality_type": "Fundus Photography"
768
+ },
769
+ {
770
+ "dataset": "ACRIMA",
771
+ "question_id": "ACRIMA_0059",
772
+ "question_type": "Disease Diagnosis",
773
+ "question": "Is the patient's eye condition normal or does it indicate the presence of glaucoma?",
774
+ "gt_answer": "It's normal, glaucoma negative",
775
+ "image_path": "Images/ACRIMA/Im201_ACRIMA.png",
776
+ "option_A": "Cataracts present",
777
+ "option_B": "Age-related macular degeneration diagnosed",
778
+ "option_C": "It's normal, glaucoma negative",
779
+ "option_D": "Color blindness confirmed",
780
+ "modality_type": "Fundus Photography"
781
+ },
782
+ {
783
+ "dataset": "ACRIMA",
784
+ "question_id": "ACRIMA_0060",
785
+ "question_type": "Disease Diagnosis",
786
+ "question": "What is the condition of the eyes in this image?",
787
+ "gt_answer": "It's normal, glaucoma negative",
788
+ "image_path": "Images/ACRIMA/Im011_ACRIMA.png",
789
+ "option_A": "It's normal, glaucoma negative",
790
+ "option_B": "Conjunctivitis diagnosed",
791
+ "option_C": "Myopia positive",
792
+ "option_D": "Cataracts present",
793
+ "modality_type": "Fundus Photography"
794
+ },
795
+ {
796
+ "dataset": "ACRIMA",
797
+ "question_id": "ACRIMA_0061",
798
+ "question_type": "Disease Diagnosis",
799
+ "question": "What is the status of the eyes depicted in this image?",
800
+ "gt_answer": "It's normal, glaucoma negative",
801
+ "image_path": "Images/ACRIMA/Im069_ACRIMA.png",
802
+ "option_A": "Retinal detachment confirmed",
803
+ "option_B": "It's normal, glaucoma negative",
804
+ "option_C": "Optic nerve damage noted",
805
+ "option_D": "Astigmatism detected",
806
+ "modality_type": "Fundus Photography"
807
+ },
808
+ {
809
+ "dataset": "ACRIMA",
810
+ "question_id": "ACRIMA_0062",
811
+ "question_type": "Disease Diagnosis",
812
+ "question": "What is the condition of the eyes in this image?",
813
+ "gt_answer": "It's normal, glaucoma negative",
814
+ "image_path": "Images/ACRIMA/Im194_ACRIMA.png",
815
+ "option_A": "Myopia positive",
816
+ "option_B": "Cataracts present",
817
+ "option_C": "Optic nerve damage noted",
818
+ "option_D": "It's normal, glaucoma negative",
819
+ "modality_type": "Fundus Photography"
820
+ },
821
+ {
822
+ "dataset": "ACRIMA",
823
+ "question_id": "ACRIMA_0063",
824
+ "question_type": "Disease Diagnosis",
825
+ "question": "Is there any abnormality or presence of glaucoma in the eyes in this image?",
826
+ "gt_answer": "It's normal, glaucoma negative",
827
+ "image_path": "Images/ACRIMA/Im244_ACRIMA.png",
828
+ "option_A": "Color blindness confirmed",
829
+ "option_B": "Age-related macular degeneration diagnosed",
830
+ "option_C": "Optic nerve damage noted",
831
+ "option_D": "It's normal, glaucoma negative",
832
+ "modality_type": "Fundus Photography"
833
+ },
834
+ {
835
+ "dataset": "ACRIMA",
836
+ "question_id": "ACRIMA_0064",
837
+ "question_type": "Disease Diagnosis",
838
+ "question": "Is there any abnormality or presence of glaucoma in the eyes in this image?",
839
+ "gt_answer": "It's normal, glaucoma negative",
840
+ "image_path": "Images/ACRIMA/Im173_ACRIMA.png",
841
+ "option_A": "Corneal ulcer identified",
842
+ "option_B": "It's normal, glaucoma negative",
843
+ "option_C": "Astigmatism detected",
844
+ "option_D": "Retinal detachment confirmed",
845
+ "modality_type": "Fundus Photography"
846
+ },
847
+ {
848
+ "dataset": "ACRIMA",
849
+ "question_id": "ACRIMA_0065",
850
+ "question_type": "Disease Diagnosis",
851
+ "question": "What is the condition of the eyes in this image?",
852
+ "gt_answer": "It's normal, glaucoma negative",
853
+ "image_path": "Images/ACRIMA/Im176_ACRIMA.png",
854
+ "option_A": "Macular degeneration evident",
855
+ "option_B": "Conjunctivitis diagnosed",
856
+ "option_C": "It's normal, glaucoma negative",
857
+ "option_D": "Cataracts present",
858
+ "modality_type": "Fundus Photography"
859
+ },
860
+ {
861
+ "dataset": "ACRIMA",
862
+ "question_id": "ACRIMA_0066",
863
+ "question_type": "Disease Diagnosis",
864
+ "question": "Is there any abnormality in the eye condition depicted in this image?",
865
+ "gt_answer": "It's normal, glaucoma negative",
866
+ "image_path": "Images/ACRIMA/Im050_ACRIMA.png",
867
+ "option_A": "Myopia positive",
868
+ "option_B": "Retinal detachment confirmed",
869
+ "option_C": "It's normal, glaucoma negative",
870
+ "option_D": "Color blindness confirmed",
871
+ "modality_type": "Fundus Photography"
872
+ },
873
+ {
874
+ "dataset": "ACRIMA",
875
+ "question_id": "ACRIMA_0067",
876
+ "question_type": "Disease Diagnosis",
877
+ "question": "What is the status of the eyes in this image?",
878
+ "gt_answer": "It's normal, glaucoma negative",
879
+ "image_path": "Images/ACRIMA/Im237_ACRIMA.png",
880
+ "option_A": "It's normal, glaucoma negative",
881
+ "option_B": "Color blindness confirmed",
882
+ "option_C": "Corneal ulcer identified",
883
+ "option_D": "Astigmatism detected",
884
+ "modality_type": "Fundus Photography"
885
+ },
886
+ {
887
+ "dataset": "ACRIMA",
888
+ "question_id": "ACRIMA_0068",
889
+ "question_type": "Disease Diagnosis",
890
+ "question": "What is the eye health status in this image?",
891
+ "gt_answer": "It's normal, glaucoma negative",
892
+ "image_path": "Images/ACRIMA/Im038_ACRIMA.png",
893
+ "option_A": "Retinal detachment confirmed",
894
+ "option_B": "Color blindness confirmed",
895
+ "option_C": "It's normal, glaucoma negative",
896
+ "option_D": "Cataracts present",
897
+ "modality_type": "Fundus Photography"
898
+ },
899
+ {
900
+ "dataset": "ACRIMA",
901
+ "question_id": "ACRIMA_0069",
902
+ "question_type": "Disease Diagnosis",
903
+ "question": "What is the eye condition seen in this image?",
904
+ "gt_answer": "It's normal, glaucoma negative",
905
+ "image_path": "Images/ACRIMA/Im049_ACRIMA.png",
906
+ "option_A": "Corneal ulcer identified",
907
+ "option_B": "Optic nerve damage noted",
908
+ "option_C": "It's normal, glaucoma negative",
909
+ "option_D": "Retinal detachment confirmed",
910
+ "modality_type": "Fundus Photography"
911
+ },
912
+ {
913
+ "dataset": "ACRIMA",
914
+ "question_id": "ACRIMA_0070",
915
+ "question_type": "Disease Diagnosis",
916
+ "question": "Is there any abnormality in the eyes shown in this image?",
917
+ "gt_answer": "It's normal, glaucoma negative",
918
+ "image_path": "Images/ACRIMA/Im188_ACRIMA.png",
919
+ "option_A": "Corneal ulcer identified",
920
+ "option_B": "It's normal, glaucoma negative",
921
+ "option_C": "Age-related macular degeneration diagnosed",
922
+ "option_D": "Cataracts present",
923
+ "modality_type": "Fundus Photography"
924
+ },
925
+ {
926
+ "dataset": "ACRIMA",
927
+ "question_id": "ACRIMA_0071",
928
+ "question_type": "Disease Diagnosis",
929
+ "question": "Is there any abnormality in the eyes shown in this image?",
930
+ "gt_answer": "It's normal, glaucoma negative",
931
+ "image_path": "Images/ACRIMA/Im280_ACRIMA.png",
932
+ "option_A": "Age-related macular degeneration diagnosed",
933
+ "option_B": "Myopia positive",
934
+ "option_C": "Conjunctivitis diagnosed",
935
+ "option_D": "It's normal, glaucoma negative",
936
+ "modality_type": "Fundus Photography"
937
+ },
938
+ {
939
+ "dataset": "ACRIMA",
940
+ "question_id": "ACRIMA_0072",
941
+ "question_type": "Disease Diagnosis",
942
+ "question": "What is the condition of the eyes in this image?",
943
+ "gt_answer": "It's normal, glaucoma negative",
944
+ "image_path": "Images/ACRIMA/Im256_ACRIMA.png",
945
+ "option_A": "Conjunctivitis diagnosed",
946
+ "option_B": "Retinal detachment confirmed",
947
+ "option_C": "Age-related macular degeneration diagnosed",
948
+ "option_D": "It's normal, glaucoma negative",
949
+ "modality_type": "Fundus Photography"
950
+ },
951
+ {
952
+ "dataset": "ACRIMA",
953
+ "question_id": "ACRIMA_0073",
954
+ "question_type": "Disease Diagnosis",
955
+ "question": "How does the ocular health appear in the provided photograph, particularly in relation to glaucoma?",
956
+ "gt_answer": "It's normal, glaucoma negative",
957
+ "image_path": "Images/ACRIMA/Im019_ACRIMA.png",
958
+ "option_A": "Age-related macular degeneration diagnosed",
959
+ "option_B": "Cataracts present",
960
+ "option_C": "It's normal, glaucoma negative",
961
+ "option_D": "Macular degeneration evident",
962
+ "modality_type": "Fundus Photography"
963
+ },
964
+ {
965
+ "dataset": "ACRIMA",
966
+ "question_id": "ACRIMA_0074",
967
+ "question_type": "Disease Diagnosis",
968
+ "question": "Is the condition of the eyes in this image normal or is glaucoma present?",
969
+ "gt_answer": "It's normal, glaucoma negative",
970
+ "image_path": "Images/ACRIMA/Im259_ACRIMA.png",
971
+ "option_A": "Color blindness confirmed",
972
+ "option_B": "Corneal ulcer identified",
973
+ "option_C": "It's normal, glaucoma negative",
974
+ "option_D": "Cataracts present",
975
+ "modality_type": "Fundus Photography"
976
+ },
977
+ {
978
+ "dataset": "ACRIMA",
979
+ "question_id": "ACRIMA_0075",
980
+ "question_type": "Disease Diagnosis",
981
+ "question": "What is the status of the eyes in this image?",
982
+ "gt_answer": "It's normal, glaucoma negative",
983
+ "image_path": "Images/ACRIMA/Im077_ACRIMA.png",
984
+ "option_A": "Color blindness confirmed",
985
+ "option_B": "It's normal, glaucoma negative",
986
+ "option_C": "Age-related macular degeneration diagnosed",
987
+ "option_D": "Corneal ulcer identified",
988
+ "modality_type": "Fundus Photography"
989
+ },
990
+ {
991
+ "dataset": "ACRIMA",
992
+ "question_id": "ACRIMA_0076",
993
+ "question_type": "Disease Diagnosis",
994
+ "question": "Is the condition of the eyes in this image normal, or is glaucoma present?",
995
+ "gt_answer": "It's normal, glaucoma negative",
996
+ "image_path": "Images/ACRIMA/Im065_ACRIMA.png",
997
+ "option_A": "Myopia positive",
998
+ "option_B": "It's normal, glaucoma negative",
999
+ "option_C": "Optic nerve damage noted",
1000
+ "option_D": "Age-related macular degeneration diagnosed",
1001
+ "modality_type": "Fundus Photography"
1002
+ },
1003
+ {
1004
+ "dataset": "ACRIMA",
1005
+ "question_id": "ACRIMA_0077",
1006
+ "question_type": "Disease Diagnosis",
1007
+ "question": "Does the image show any abnormalities or signs of glaucoma in the eyes?",
1008
+ "gt_answer": "It's normal, glaucoma negative",
1009
+ "image_path": "Images/ACRIMA/Im053_ACRIMA.png",
1010
+ "option_A": "Cataracts present",
1011
+ "option_B": "Astigmatism detected",
1012
+ "option_C": "Myopia positive",
1013
+ "option_D": "It's normal, glaucoma negative",
1014
+ "modality_type": "Fundus Photography"
1015
+ },
1016
+ {
1017
+ "dataset": "ACRIMA",
1018
+ "question_id": "ACRIMA_0078",
1019
+ "question_type": "Disease Diagnosis",
1020
+ "question": "What is the condition of the eyes in this image?",
1021
+ "gt_answer": "It's normal, glaucoma negative",
1022
+ "image_path": "Images/ACRIMA/Im248_ACRIMA.png",
1023
+ "option_A": "Color blindness confirmed",
1024
+ "option_B": "It's normal, glaucoma negative",
1025
+ "option_C": "Conjunctivitis diagnosed",
1026
+ "option_D": "Myopia positive",
1027
+ "modality_type": "Fundus Photography"
1028
+ },
1029
+ {
1030
+ "dataset": "ACRIMA",
1031
+ "question_id": "ACRIMA_0079",
1032
+ "question_type": "Disease Diagnosis",
1033
+ "question": "Is the condition of the eyes in this image normal or negative for glaucoma?",
1034
+ "gt_answer": "It's normal, glaucoma negative",
1035
+ "image_path": "Images/ACRIMA/Im250_ACRIMA.png",
1036
+ "option_A": "It's normal, glaucoma negative",
1037
+ "option_B": "Color blindness confirmed",
1038
+ "option_C": "Cataracts present",
1039
+ "option_D": "Optic nerve damage noted",
1040
+ "modality_type": "Fundus Photography"
1041
+ },
1042
+ {
1043
+ "dataset": "ACRIMA",
1044
+ "question_id": "ACRIMA_0080",
1045
+ "question_type": "Disease Diagnosis",
1046
+ "question": "Is the condition of the eyes in this image normal or is it negative for glaucoma?",
1047
+ "gt_answer": "It's normal, glaucoma negative",
1048
+ "image_path": "Images/ACRIMA/Im232_ACRIMA.png",
1049
+ "option_A": "Age-related macular degeneration diagnosed",
1050
+ "option_B": "It's normal, glaucoma negative",
1051
+ "option_C": "Retinal detachment confirmed",
1052
+ "option_D": "Macular degeneration evident",
1053
+ "modality_type": "Fundus Photography"
1054
+ },
1055
+ {
1056
+ "dataset": "ACRIMA",
1057
+ "question_id": "ACRIMA_0081",
1058
+ "question_type": "Disease Diagnosis",
1059
+ "question": "What is the state of the eyes in the provided image?",
1060
+ "gt_answer": "It's normal, glaucoma negative",
1061
+ "image_path": "Images/ACRIMA/Im267_ACRIMA.png",
1062
+ "option_A": "Color blindness confirmed",
1063
+ "option_B": "Myopia positive",
1064
+ "option_C": "Optic nerve damage noted",
1065
+ "option_D": "It's normal, glaucoma negative",
1066
+ "modality_type": "Fundus Photography"
1067
+ },
1068
+ {
1069
+ "dataset": "ACRIMA",
1070
+ "question_id": "ACRIMA_0082",
1071
+ "question_type": "Disease Diagnosis",
1072
+ "question": "What is the condition of the eyes in this image?",
1073
+ "gt_answer": "It's normal, glaucoma negative",
1074
+ "image_path": "Images/ACRIMA/Im158_ACRIMA.png",
1075
+ "option_A": "Corneal ulcer identified",
1076
+ "option_B": "Myopia positive",
1077
+ "option_C": "It's normal, glaucoma negative",
1078
+ "option_D": "Color blindness confirmed",
1079
+ "modality_type": "Fundus Photography"
1080
+ },
1081
+ {
1082
+ "dataset": "ACRIMA",
1083
+ "question_id": "ACRIMA_0083",
1084
+ "question_type": "Disease Diagnosis",
1085
+ "question": "What is the condition of the eyes in this image?",
1086
+ "gt_answer": "It's normal, glaucoma negative",
1087
+ "image_path": "Images/ACRIMA/Im098_ACRIMA.png",
1088
+ "option_A": "It's normal, glaucoma negative",
1089
+ "option_B": "Age-related macular degeneration diagnosed",
1090
+ "option_C": "Corneal ulcer identified",
1091
+ "option_D": "Astigmatism detected",
1092
+ "modality_type": "Fundus Photography"
1093
+ },
1094
+ {
1095
+ "dataset": "ACRIMA",
1096
+ "question_id": "ACRIMA_0084",
1097
+ "question_type": "Disease Diagnosis",
1098
+ "question": "What is the condition of the eyes in this image?",
1099
+ "gt_answer": "It's normal, glaucoma negative",
1100
+ "image_path": "Images/ACRIMA/Im284_ACRIMA.png",
1101
+ "option_A": "It's normal, glaucoma negative",
1102
+ "option_B": "Retinal detachment confirmed",
1103
+ "option_C": "Astigmatism detected",
1104
+ "option_D": "Color blindness confirmed",
1105
+ "modality_type": "Fundus Photography"
1106
+ },
1107
+ {
1108
+ "dataset": "ACRIMA",
1109
+ "question_id": "ACRIMA_0085",
1110
+ "question_type": "Disease Diagnosis",
1111
+ "question": "Is the condition of the eyes in this image normal and free from glaucoma?",
1112
+ "gt_answer": "It's normal, glaucoma negative",
1113
+ "image_path": "Images/ACRIMA/Im018_ACRIMA.png",
1114
+ "option_A": "It's normal, glaucoma negative",
1115
+ "option_B": "Retinal detachment confirmed",
1116
+ "option_C": "Myopia positive",
1117
+ "option_D": "Astigmatism detected",
1118
+ "modality_type": "Fundus Photography"
1119
+ },
1120
+ {
1121
+ "dataset": "ACRIMA",
1122
+ "question_id": "ACRIMA_0086",
1123
+ "question_type": "Disease Diagnosis",
1124
+ "question": "What is the condition of the eyes in this image?",
1125
+ "gt_answer": "It's normal, glaucoma negative",
1126
+ "image_path": "Images/ACRIMA/Im262_ACRIMA.png",
1127
+ "option_A": "It's normal, glaucoma negative",
1128
+ "option_B": "Cataracts present",
1129
+ "option_C": "Myopia positive",
1130
+ "option_D": "Conjunctivitis diagnosed",
1131
+ "modality_type": "Fundus Photography"
1132
+ },
1133
+ {
1134
+ "dataset": "ACRIMA",
1135
+ "question_id": "ACRIMA_0087",
1136
+ "question_type": "Disease Diagnosis",
1137
+ "question": "What is the condition of the eyes in this image?",
1138
+ "gt_answer": "Glaucoma positive.",
1139
+ "image_path": "Images/ACRIMA/Im436_g_ACRIMA.png",
1140
+ "option_A": "Retinal detachment negative.",
1141
+ "option_B": "Cataracts negative.",
1142
+ "option_C": "Glaucoma positive.",
1143
+ "option_D": "Conjunctivitis positive.",
1144
+ "modality_type": "Fundus Photography"
1145
+ },
1146
+ {
1147
+ "dataset": "ACRIMA",
1148
+ "question_id": "ACRIMA_0088",
1149
+ "question_type": "Disease Diagnosis",
1150
+ "question": "Can you assess the eye health status depicted in this photograph, specifically regarding the presence of glaucoma?",
1151
+ "gt_answer": "Glaucoma positive.",
1152
+ "image_path": "Images/ACRIMA/Im441_g_ACRIMA.png",
1153
+ "option_A": "Glaucoma positive.",
1154
+ "option_B": "Macular degeneration negative.",
1155
+ "option_C": "Conjunctivitis positive.",
1156
+ "option_D": "Astigmatism negative.",
1157
+ "modality_type": "Fundus Photography"
1158
+ },
1159
+ {
1160
+ "dataset": "ACRIMA",
1161
+ "question_id": "ACRIMA_0089",
1162
+ "question_type": "Disease Diagnosis",
1163
+ "question": "Does this image show a positive case of glaucoma in the eyes?",
1164
+ "gt_answer": "Glaucoma positive.",
1165
+ "image_path": "Images/ACRIMA/Im553_g_ACRIMA.png",
1166
+ "option_A": "Macular degeneration negative.",
1167
+ "option_B": "Glaucoma positive.",
1168
+ "option_C": "Cataracts negative.",
1169
+ "option_D": "Retinal detachment negative.",
1170
+ "modality_type": "Fundus Photography"
1171
+ },
1172
+ {
1173
+ "dataset": "ACRIMA",
1174
+ "question_id": "ACRIMA_0090",
1175
+ "question_type": "Disease Diagnosis",
1176
+ "question": "What is the condition of the eyes in this image?",
1177
+ "gt_answer": "Glaucoma positive.",
1178
+ "image_path": "Images/ACRIMA/Im702_g_ACRIMA.png",
1179
+ "option_A": "Conjunctivitis positive.",
1180
+ "option_B": "Retinal detachment negative.",
1181
+ "option_C": "Macular degeneration negative.",
1182
+ "option_D": "Glaucoma positive.",
1183
+ "modality_type": "Fundus Photography"
1184
+ },
1185
+ {
1186
+ "dataset": "ACRIMA",
1187
+ "question_id": "ACRIMA_0091",
1188
+ "question_type": "Disease Diagnosis",
1189
+ "question": "What is the condition of the eyes in this image?",
1190
+ "gt_answer": "Glaucoma positive.",
1191
+ "image_path": "Images/ACRIMA/Im614_g_ACRIMA.png",
1192
+ "option_A": "Glaucoma positive.",
1193
+ "option_B": "Macular degeneration negative.",
1194
+ "option_C": "Retinal detachment negative.",
1195
+ "option_D": "Astigmatism negative.",
1196
+ "modality_type": "Fundus Photography"
1197
+ },
1198
+ {
1199
+ "dataset": "ACRIMA",
1200
+ "question_id": "ACRIMA_0092",
1201
+ "question_type": "Disease Diagnosis",
1202
+ "question": "What is the condition of the eyes in this image?",
1203
+ "gt_answer": "Glaucoma positive.",
1204
+ "image_path": "Images/ACRIMA/Im316_g_ACRIMA.png",
1205
+ "option_A": "Glaucoma positive.",
1206
+ "option_B": "Macular degeneration negative.",
1207
+ "option_C": "Retinal detachment negative.",
1208
+ "option_D": "Conjunctivitis positive.",
1209
+ "modality_type": "Fundus Photography"
1210
+ },
1211
+ {
1212
+ "dataset": "ACRIMA",
1213
+ "question_id": "ACRIMA_0093",
1214
+ "question_type": "Disease Diagnosis",
1215
+ "question": "What is the condition of the eyes in this image?",
1216
+ "gt_answer": "Glaucoma positive.",
1217
+ "image_path": "Images/ACRIMA/Im681_g_ACRIMA.png",
1218
+ "option_A": "Glaucoma positive.",
1219
+ "option_B": "Conjunctivitis positive.",
1220
+ "option_C": "Macular degeneration negative.",
1221
+ "option_D": "Cataracts negative.",
1222
+ "modality_type": "Fundus Photography"
1223
+ },
1224
+ {
1225
+ "dataset": "ACRIMA",
1226
+ "question_id": "ACRIMA_0094",
1227
+ "question_type": "Disease Diagnosis",
1228
+ "question": "What is the condition of the eyes in this image?",
1229
+ "gt_answer": "Glaucoma positive.",
1230
+ "image_path": "Images/ACRIMA/Im598_g_ACRIMA.png",
1231
+ "option_A": "Astigmatism negative.",
1232
+ "option_B": "Glaucoma positive.",
1233
+ "option_C": "Retinal detachment negative.",
1234
+ "option_D": "Conjunctivitis positive.",
1235
+ "modality_type": "Fundus Photography"
1236
+ },
1237
+ {
1238
+ "dataset": "ACRIMA",
1239
+ "question_id": "ACRIMA_0095",
1240
+ "question_type": "Disease Diagnosis",
1241
+ "question": "Is glaucoma present in the eyes shown in this image?",
1242
+ "gt_answer": "Glaucoma positive.",
1243
+ "image_path": "Images/ACRIMA/Im671_g_ACRIMA.png",
1244
+ "option_A": "Cataracts negative.",
1245
+ "option_B": "Retinal detachment negative.",
1246
+ "option_C": "Glaucoma positive.",
1247
+ "option_D": "Astigmatism negative.",
1248
+ "modality_type": "Fundus Photography"
1249
+ },
1250
+ {
1251
+ "dataset": "ACRIMA",
1252
+ "question_id": "ACRIMA_0096",
1253
+ "question_type": "Disease Diagnosis",
1254
+ "question": "Is the individual in the image affected by glaucoma?",
1255
+ "gt_answer": "Glaucoma positive.",
1256
+ "image_path": "Images/ACRIMA/Im506_g_ACRIMA.png",
1257
+ "option_A": "Macular degeneration negative.",
1258
+ "option_B": "Retinal detachment negative.",
1259
+ "option_C": "Glaucoma positive.",
1260
+ "option_D": "Cataracts negative.",
1261
+ "modality_type": "Fundus Photography"
1262
+ },
1263
+ {
1264
+ "dataset": "ACRIMA",
1265
+ "question_id": "ACRIMA_0097",
1266
+ "question_type": "Disease Diagnosis",
1267
+ "question": "What is the condition of the eyes in this image?",
1268
+ "gt_answer": "Glaucoma positive.",
1269
+ "image_path": "Images/ACRIMA/Im475_g_ACRIMA.png",
1270
+ "option_A": "Retinal detachment negative.",
1271
+ "option_B": "Glaucoma positive.",
1272
+ "option_C": "Conjunctivitis positive.",
1273
+ "option_D": "Macular degeneration negative.",
1274
+ "modality_type": "Fundus Photography"
1275
+ },
1276
+ {
1277
+ "dataset": "ACRIMA",
1278
+ "question_id": "ACRIMA_0098",
1279
+ "question_type": "Disease Diagnosis",
1280
+ "question": "What is the condition of the eyes in this image?",
1281
+ "gt_answer": "Glaucoma positive.",
1282
+ "image_path": "Images/ACRIMA/Im428_g_ACRIMA.png",
1283
+ "option_A": "Glaucoma positive.",
1284
+ "option_B": "Macular degeneration negative.",
1285
+ "option_C": "Astigmatism negative.",
1286
+ "option_D": "Cataracts negative.",
1287
+ "modality_type": "Fundus Photography"
1288
+ },
1289
+ {
1290
+ "dataset": "ACRIMA",
1291
+ "question_id": "ACRIMA_0099",
1292
+ "question_type": "Disease Diagnosis",
1293
+ "question": "Is there any evidence of glaucoma in the eyes in this image?",
1294
+ "gt_answer": "Glaucoma positive.",
1295
+ "image_path": "Images/ACRIMA/Im523_g_ACRIMA.png",
1296
+ "option_A": "Conjunctivitis positive.",
1297
+ "option_B": "Glaucoma positive.",
1298
+ "option_C": "Cataracts negative.",
1299
+ "option_D": "Macular degeneration negative.",
1300
+ "modality_type": "Fundus Photography"
1301
+ },
1302
+ {
1303
+ "dataset": "ACRIMA",
1304
+ "question_id": "ACRIMA_0100",
1305
+ "question_type": "Disease Diagnosis",
1306
+ "question": "What does the eye examination in this picture indicate regarding glaucoma?",
1307
+ "gt_answer": "Glaucoma positive.",
1308
+ "image_path": "Images/ACRIMA/Im425_g_ACRIMA.png",
1309
+ "option_A": "Glaucoma positive.",
1310
+ "option_B": "Macular degeneration negative.",
1311
+ "option_C": "Astigmatism negative.",
1312
+ "option_D": "Retinal detachment negative.",
1313
+ "modality_type": "Fundus Photography"
1314
+ },
1315
+ {
1316
+ "dataset": "ACRIMA",
1317
+ "question_id": "ACRIMA_0101",
1318
+ "question_type": "Disease Diagnosis",
1319
+ "question": "What is the condition of the eyes in this image?",
1320
+ "gt_answer": "Glaucoma positive.",
1321
+ "image_path": "Images/ACRIMA/Im542_g_ACRIMA.png",
1322
+ "option_A": "Astigmatism negative.",
1323
+ "option_B": "Glaucoma positive.",
1324
+ "option_C": "Conjunctivitis positive.",
1325
+ "option_D": "Cataracts negative.",
1326
+ "modality_type": "Fundus Photography"
1327
+ },
1328
+ {
1329
+ "dataset": "ACRIMA",
1330
+ "question_id": "ACRIMA_0102",
1331
+ "question_type": "Disease Diagnosis",
1332
+ "question": "What is the condition of the eyes in this image?",
1333
+ "gt_answer": "Glaucoma positive.",
1334
+ "image_path": "Images/ACRIMA/Im539_g_ACRIMA.png",
1335
+ "option_A": "Cataracts negative.",
1336
+ "option_B": "Retinal detachment negative.",
1337
+ "option_C": "Conjunctivitis positive.",
1338
+ "option_D": "Glaucoma positive.",
1339
+ "modality_type": "Fundus Photography"
1340
+ },
1341
+ {
1342
+ "dataset": "ACRIMA",
1343
+ "question_id": "ACRIMA_0103",
1344
+ "question_type": "Disease Diagnosis",
1345
+ "question": "Is glaucoma present in the eyes depicted in this image?",
1346
+ "gt_answer": "Glaucoma positive.",
1347
+ "image_path": "Images/ACRIMA/Im482_g_ACRIMA.png",
1348
+ "option_A": "Glaucoma positive.",
1349
+ "option_B": "Macular degeneration negative.",
1350
+ "option_C": "Retinal detachment negative.",
1351
+ "option_D": "Cataracts negative.",
1352
+ "modality_type": "Fundus Photography"
1353
+ },
1354
+ {
1355
+ "dataset": "ACRIMA",
1356
+ "question_id": "ACRIMA_0104",
1357
+ "question_type": "Disease Diagnosis",
1358
+ "question": "What is the condition of the eyes in this image?",
1359
+ "gt_answer": "Glaucoma positive.",
1360
+ "image_path": "Images/ACRIMA/Im535_g_ACRIMA.png",
1361
+ "option_A": "Macular degeneration negative.",
1362
+ "option_B": "Glaucoma positive.",
1363
+ "option_C": "Cataracts negative.",
1364
+ "option_D": "Conjunctivitis positive.",
1365
+ "modality_type": "Fundus Photography"
1366
+ },
1367
+ {
1368
+ "dataset": "ACRIMA",
1369
+ "question_id": "ACRIMA_0105",
1370
+ "question_type": "Disease Diagnosis",
1371
+ "question": "What does the ocular examination in the provided picture indicate regarding glaucoma presence?",
1372
+ "gt_answer": "Glaucoma positive.",
1373
+ "image_path": "Images/ACRIMA/Im514_g_ACRIMA.png",
1374
+ "option_A": "Macular degeneration negative.",
1375
+ "option_B": "Glaucoma positive.",
1376
+ "option_C": "Conjunctivitis positive.",
1377
+ "option_D": "Retinal detachment negative.",
1378
+ "modality_type": "Fundus Photography"
1379
+ },
1380
+ {
1381
+ "dataset": "ACRIMA",
1382
+ "question_id": "ACRIMA_0106",
1383
+ "question_type": "Disease Diagnosis",
1384
+ "question": "What is the condition of the eyes in this image?",
1385
+ "gt_answer": "Glaucoma positive.",
1386
+ "image_path": "Images/ACRIMA/Im386_g_ACRIMA.png",
1387
+ "option_A": "Glaucoma positive.",
1388
+ "option_B": "Macular degeneration negative.",
1389
+ "option_C": "Cataracts negative.",
1390
+ "option_D": "Conjunctivitis positive.",
1391
+ "modality_type": "Fundus Photography"
1392
+ },
1393
+ {
1394
+ "dataset": "ACRIMA",
1395
+ "question_id": "ACRIMA_0107",
1396
+ "question_type": "Disease Diagnosis",
1397
+ "question": "What does this eye examination reveal regarding the presence of glaucoma?",
1398
+ "gt_answer": "Glaucoma positive.",
1399
+ "image_path": "Images/ACRIMA/Im401_g_ACRIMA.png",
1400
+ "option_A": "Glaucoma positive.",
1401
+ "option_B": "Macular degeneration negative.",
1402
+ "option_C": "Retinal detachment negative.",
1403
+ "option_D": "Cataracts negative.",
1404
+ "modality_type": "Fundus Photography"
1405
+ },
1406
+ {
1407
+ "dataset": "ACRIMA",
1408
+ "question_id": "ACRIMA_0108",
1409
+ "question_type": "Disease Diagnosis",
1410
+ "question": "Can you assess the eye health status depicted in this photograph, specifically regarding the presence of glaucoma?",
1411
+ "gt_answer": "Glaucoma positive.",
1412
+ "image_path": "Images/ACRIMA/Im615_g_ACRIMA.png",
1413
+ "option_A": "Cataracts negative.",
1414
+ "option_B": "Retinal detachment negative.",
1415
+ "option_C": "Glaucoma positive.",
1416
+ "option_D": "Macular degeneration negative.",
1417
+ "modality_type": "Fundus Photography"
1418
+ },
1419
+ {
1420
+ "dataset": "ACRIMA",
1421
+ "question_id": "ACRIMA_0109",
1422
+ "question_type": "Disease Diagnosis",
1423
+ "question": "What is the condition of the eyes in this image?",
1424
+ "gt_answer": "Glaucoma positive.",
1425
+ "image_path": "Images/ACRIMA/Im644_g_ACRIMA.png",
1426
+ "option_A": "Retinal detachment negative.",
1427
+ "option_B": "Astigmatism negative.",
1428
+ "option_C": "Macular degeneration negative.",
1429
+ "option_D": "Glaucoma positive.",
1430
+ "modality_type": "Fundus Photography"
1431
+ },
1432
+ {
1433
+ "dataset": "ACRIMA",
1434
+ "question_id": "ACRIMA_0110",
1435
+ "question_type": "Disease Diagnosis",
1436
+ "question": "What is the condition of the eyes in this image?",
1437
+ "gt_answer": "Glaucoma positive.",
1438
+ "image_path": "Images/ACRIMA/Im391_g_ACRIMA.png",
1439
+ "option_A": "Glaucoma positive.",
1440
+ "option_B": "Conjunctivitis positive.",
1441
+ "option_C": "Macular degeneration negative.",
1442
+ "option_D": "Retinal detachment negative.",
1443
+ "modality_type": "Fundus Photography"
1444
+ },
1445
+ {
1446
+ "dataset": "ACRIMA",
1447
+ "question_id": "ACRIMA_0111",
1448
+ "question_type": "Disease Diagnosis",
1449
+ "question": "What does this eye examination reveal regarding the presence of glaucoma?",
1450
+ "gt_answer": "Glaucoma positive.",
1451
+ "image_path": "Images/ACRIMA/Im492_g_ACRIMA.png",
1452
+ "option_A": "Retinal detachment negative.",
1453
+ "option_B": "Astigmatism negative.",
1454
+ "option_C": "Glaucoma positive.",
1455
+ "option_D": "Macular degeneration negative.",
1456
+ "modality_type": "Fundus Photography"
1457
+ },
1458
+ {
1459
+ "dataset": "ACRIMA",
1460
+ "question_id": "ACRIMA_0112",
1461
+ "question_type": "Disease Diagnosis",
1462
+ "question": "Is the individual in this image affected by glaucoma?",
1463
+ "gt_answer": "Glaucoma positive.",
1464
+ "image_path": "Images/ACRIMA/Im622_g_ACRIMA.png",
1465
+ "option_A": "Retinal detachment negative.",
1466
+ "option_B": "Astigmatism negative.",
1467
+ "option_C": "Conjunctivitis positive.",
1468
+ "option_D": "Glaucoma positive.",
1469
+ "modality_type": "Fundus Photography"
1470
+ },
1471
+ {
1472
+ "dataset": "ACRIMA",
1473
+ "question_id": "ACRIMA_0113",
1474
+ "question_type": "Disease Diagnosis",
1475
+ "question": "What is the condition of the eyes in this image?",
1476
+ "gt_answer": "Glaucoma positive.",
1477
+ "image_path": "Images/ACRIMA/Im550_g_ACRIMA.png",
1478
+ "option_A": "Astigmatism negative.",
1479
+ "option_B": "Conjunctivitis positive.",
1480
+ "option_C": "Retinal detachment negative.",
1481
+ "option_D": "Glaucoma positive.",
1482
+ "modality_type": "Fundus Photography"
1483
+ },
1484
+ {
1485
+ "dataset": "ACRIMA",
1486
+ "question_id": "ACRIMA_0114",
1487
+ "question_type": "Disease Diagnosis",
1488
+ "question": "What is the condition of the eyes in this image?",
1489
+ "gt_answer": "Glaucoma positive.",
1490
+ "image_path": "Images/ACRIMA/Im616_g_ACRIMA.png",
1491
+ "option_A": "Macular degeneration negative.",
1492
+ "option_B": "Glaucoma positive.",
1493
+ "option_C": "Retinal detachment negative.",
1494
+ "option_D": "Conjunctivitis positive.",
1495
+ "modality_type": "Fundus Photography"
1496
+ },
1497
+ {
1498
+ "dataset": "ACRIMA",
1499
+ "question_id": "ACRIMA_0115",
1500
+ "question_type": "Disease Diagnosis",
1501
+ "question": "What is the condition of the eyes in this image?",
1502
+ "gt_answer": "Glaucoma positive.",
1503
+ "image_path": "Images/ACRIMA/Im352_g_ACRIMA.png",
1504
+ "option_A": "Retinal detachment negative.",
1505
+ "option_B": "Conjunctivitis positive.",
1506
+ "option_C": "Glaucoma positive.",
1507
+ "option_D": "Astigmatism negative.",
1508
+ "modality_type": "Fundus Photography"
1509
+ },
1510
+ {
1511
+ "dataset": "ACRIMA",
1512
+ "question_id": "ACRIMA_0116",
1513
+ "question_type": "Disease Diagnosis",
1514
+ "question": "Is this image showing a positive diagnosis of glaucoma?",
1515
+ "gt_answer": "Glaucoma positive.",
1516
+ "image_path": "Images/ACRIMA/Im320_g_ACRIMA.png",
1517
+ "option_A": "Cataracts negative.",
1518
+ "option_B": "Glaucoma positive.",
1519
+ "option_C": "Astigmatism negative.",
1520
+ "option_D": "Macular degeneration negative.",
1521
+ "modality_type": "Fundus Photography"
1522
+ },
1523
+ {
1524
+ "dataset": "ACRIMA",
1525
+ "question_id": "ACRIMA_0117",
1526
+ "question_type": "Disease Diagnosis",
1527
+ "question": "Is glaucoma present in the eyes depicted in this image?",
1528
+ "gt_answer": "Glaucoma positive.",
1529
+ "image_path": "Images/ACRIMA/Im481_g_ACRIMA.png",
1530
+ "option_A": "Astigmatism negative.",
1531
+ "option_B": "Conjunctivitis positive.",
1532
+ "option_C": "Glaucoma positive.",
1533
+ "option_D": "Cataracts negative.",
1534
+ "modality_type": "Fundus Photography"
1535
+ },
1536
+ {
1537
+ "dataset": "ACRIMA",
1538
+ "question_id": "ACRIMA_0118",
1539
+ "question_type": "Disease Diagnosis",
1540
+ "question": "What is the condition of the eyes in this image?",
1541
+ "gt_answer": "Glaucoma positive.",
1542
+ "image_path": "Images/ACRIMA/Im319_g_ACRIMA.png",
1543
+ "option_A": "Cataracts negative.",
1544
+ "option_B": "Glaucoma positive.",
1545
+ "option_C": "Retinal detachment negative.",
1546
+ "option_D": "Macular degeneration negative.",
1547
+ "modality_type": "Fundus Photography"
1548
+ },
1549
+ {
1550
+ "dataset": "ACRIMA",
1551
+ "question_id": "ACRIMA_0119",
1552
+ "question_type": "Disease Diagnosis",
1553
+ "question": "Is the person in this image affected by glaucoma?",
1554
+ "gt_answer": "Glaucoma positive.",
1555
+ "image_path": "Images/ACRIMA/Im333_g_ACRIMA.png",
1556
+ "option_A": "Glaucoma positive.",
1557
+ "option_B": "Astigmatism negative.",
1558
+ "option_C": "Conjunctivitis positive.",
1559
+ "option_D": "Macular degeneration negative.",
1560
+ "modality_type": "Fundus Photography"
1561
+ },
1562
+ {
1563
+ "dataset": "ACRIMA",
1564
+ "question_id": "ACRIMA_0120",
1565
+ "question_type": "Disease Diagnosis",
1566
+ "question": "What does the ocular examination in the provided image indicate regarding glaucoma?",
1567
+ "gt_answer": "Glaucoma positive.",
1568
+ "image_path": "Images/ACRIMA/Im590_g_ACRIMA.png",
1569
+ "option_A": "Astigmatism negative.",
1570
+ "option_B": "Macular degeneration negative.",
1571
+ "option_C": "Glaucoma positive.",
1572
+ "option_D": "Cataracts negative.",
1573
+ "modality_type": "Fundus Photography"
1574
+ },
1575
+ {
1576
+ "dataset": "ACRIMA",
1577
+ "question_id": "ACRIMA_0121",
1578
+ "question_type": "Disease Diagnosis",
1579
+ "question": "Does this image show a positive case of glaucoma in the eyes?",
1580
+ "gt_answer": "Glaucoma positive.",
1581
+ "image_path": "Images/ACRIMA/Im468_g_ACRIMA.png",
1582
+ "option_A": "Astigmatism negative.",
1583
+ "option_B": "Retinal detachment negative.",
1584
+ "option_C": "Macular degeneration negative.",
1585
+ "option_D": "Glaucoma positive.",
1586
+ "modality_type": "Fundus Photography"
1587
+ },
1588
+ {
1589
+ "dataset": "ACRIMA",
1590
+ "question_id": "ACRIMA_0122",
1591
+ "question_type": "Disease Diagnosis",
1592
+ "question": "What is the condition of the eyes in this image?",
1593
+ "gt_answer": "Glaucoma positive.",
1594
+ "image_path": "Images/ACRIMA/Im608_g_ACRIMA.png",
1595
+ "option_A": "Glaucoma positive.",
1596
+ "option_B": "Astigmatism negative.",
1597
+ "option_C": "Macular degeneration negative.",
1598
+ "option_D": "Cataracts negative.",
1599
+ "modality_type": "Fundus Photography"
1600
+ },
1601
+ {
1602
+ "dataset": "ACRIMA",
1603
+ "question_id": "ACRIMA_0123",
1604
+ "question_type": "Disease Diagnosis",
1605
+ "question": "What is the condition of the eyes in this image?",
1606
+ "gt_answer": "Glaucoma positive.",
1607
+ "image_path": "Images/ACRIMA/Im474_g_ACRIMA.png",
1608
+ "option_A": "Cataracts negative.",
1609
+ "option_B": "Retinal detachment negative.",
1610
+ "option_C": "Glaucoma positive.",
1611
+ "option_D": "Conjunctivitis positive.",
1612
+ "modality_type": "Fundus Photography"
1613
+ },
1614
+ {
1615
+ "dataset": "ACRIMA",
1616
+ "question_id": "ACRIMA_0124",
1617
+ "question_type": "Disease Diagnosis",
1618
+ "question": "What is the condition of the eyes in this image?",
1619
+ "gt_answer": "Glaucoma positive.",
1620
+ "image_path": "Images/ACRIMA/Im454_g_ACRIMA.png",
1621
+ "option_A": "Retinal detachment negative.",
1622
+ "option_B": "Conjunctivitis positive.",
1623
+ "option_C": "Cataracts negative.",
1624
+ "option_D": "Glaucoma positive.",
1625
+ "modality_type": "Fundus Photography"
1626
+ },
1627
+ {
1628
+ "dataset": "ACRIMA",
1629
+ "question_id": "ACRIMA_0125",
1630
+ "question_type": "Disease Diagnosis",
1631
+ "question": "What does the ocular examination in the provided image indicate regarding glaucoma?",
1632
+ "gt_answer": "Glaucoma positive.",
1633
+ "image_path": "Images/ACRIMA/Im464_g_ACRIMA.png",
1634
+ "option_A": "Retinal detachment negative.",
1635
+ "option_B": "Cataracts negative.",
1636
+ "option_C": "Macular degeneration negative.",
1637
+ "option_D": "Glaucoma positive.",
1638
+ "modality_type": "Fundus Photography"
1639
+ },
1640
+ {
1641
+ "dataset": "ACRIMA",
1642
+ "question_id": "ACRIMA_0126",
1643
+ "question_type": "Disease Diagnosis",
1644
+ "question": "What is the condition of the eyes in this image?",
1645
+ "gt_answer": "Glaucoma positive.",
1646
+ "image_path": "Images/ACRIMA/Im662_g_ACRIMA.png",
1647
+ "option_A": "Glaucoma positive.",
1648
+ "option_B": "Cataracts negative.",
1649
+ "option_C": "Conjunctivitis positive.",
1650
+ "option_D": "Astigmatism negative.",
1651
+ "modality_type": "Fundus Photography"
1652
+ },
1653
+ {
1654
+ "dataset": "ACRIMA",
1655
+ "question_id": "ACRIMA_0127",
1656
+ "question_type": "Disease Diagnosis",
1657
+ "question": "What is the condition of the eyes in this image?",
1658
+ "gt_answer": "Glaucoma positive.",
1659
+ "image_path": "Images/ACRIMA/Im390_g_ACRIMA.png",
1660
+ "option_A": "Cataracts negative.",
1661
+ "option_B": "Macular degeneration negative.",
1662
+ "option_C": "Retinal detachment negative.",
1663
+ "option_D": "Glaucoma positive.",
1664
+ "modality_type": "Fundus Photography"
1665
+ },
1666
+ {
1667
+ "dataset": "ACRIMA",
1668
+ "question_id": "ACRIMA_0128",
1669
+ "question_type": "Disease Diagnosis",
1670
+ "question": "Is there evidence of glaucoma in this image?",
1671
+ "gt_answer": "Glaucoma positive.",
1672
+ "image_path": "Images/ACRIMA/Im576_g_ACRIMA.png",
1673
+ "option_A": "Macular degeneration negative.",
1674
+ "option_B": "Glaucoma positive.",
1675
+ "option_C": "Astigmatism negative.",
1676
+ "option_D": "Retinal detachment negative.",
1677
+ "modality_type": "Fundus Photography"
1678
+ },
1679
+ {
1680
+ "dataset": "ACRIMA",
1681
+ "question_id": "ACRIMA_0129",
1682
+ "question_type": "Disease Diagnosis",
1683
+ "question": "Is there evidence of glaucoma in this image?",
1684
+ "gt_answer": "Glaucoma positive.",
1685
+ "image_path": "Images/ACRIMA/Im328_g_ACRIMA.png",
1686
+ "option_A": "Conjunctivitis positive.",
1687
+ "option_B": "Retinal detachment negative.",
1688
+ "option_C": "Glaucoma positive.",
1689
+ "option_D": "Macular degeneration negative.",
1690
+ "modality_type": "Fundus Photography"
1691
+ },
1692
+ {
1693
+ "dataset": "ACRIMA",
1694
+ "question_id": "ACRIMA_0130",
1695
+ "question_type": "Disease Diagnosis",
1696
+ "question": "What is the condition of the eyes in this image?",
1697
+ "gt_answer": "Glaucoma positive.",
1698
+ "image_path": "Images/ACRIMA/Im466_g_ACRIMA.png",
1699
+ "option_A": "Astigmatism negative.",
1700
+ "option_B": "Cataracts negative.",
1701
+ "option_C": "Retinal detachment negative.",
1702
+ "option_D": "Glaucoma positive.",
1703
+ "modality_type": "Fundus Photography"
1704
+ },
1705
+ {
1706
+ "dataset": "ACRIMA",
1707
+ "question_id": "ACRIMA_0131",
1708
+ "question_type": "Disease Diagnosis",
1709
+ "question": "What does the eye examination in this picture indicate regarding glaucoma?",
1710
+ "gt_answer": "Glaucoma positive.",
1711
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+ "question": "What is the condition of the eyes in this image?",
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+ "question": "What does this eye examination reveal regarding the presence of glaucoma?",
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+ "image_path": "Images/ACRIMA/Im603_g_ACRIMA.png",
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+ "option_A": "Cataracts negative.",
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+ "question": "Can you identify any abnormalities or signs of glaucoma in the eyes depicted in this picture?",
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+ "image_path": "Images/ACRIMA/Im541_g_ACRIMA.png",
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+ "question": "What does the eye examination in this picture indicate regarding glaucoma?",
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+ "image_path": "Images/ACRIMA/Im686_g_ACRIMA.png",
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+ "question": "What is the condition of the eyes in this image?",
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+ "image_path": "Images/ACRIMA/Im635_g_ACRIMA.png",
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+ "option_A": "Macular degeneration negative.",
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+ "modality_type": "Fundus Photography"
2068
+ }
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+ ]
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+ "question_type": "Modality Recognition",
45
+ "question": "What method is employed to obtain this fundus image?",
46
+ "gt_answer": "Fundus photography",
47
+ "image_path": "Images/Adam Challenge/Non-AMD/N0051.jpg",
48
+ "option_A": "Ultrasound imaging",
49
+ "option_B": "Magnetic resonance imaging (MRI)",
50
+ "option_C": "Spirometry",
51
+ "option_D": "Fundus photography",
52
+ "modality_type": "Fundus Photography"
53
+ },
54
+ {
55
+ "dataset": "Adam Challenge",
56
+ "question_id": "Adam Challenge_0004",
57
+ "question_type": "Modality Recognition",
58
+ "question": "What technique is employed to obtain this fundus image?",
59
+ "gt_answer": "Fundus photography",
60
+ "image_path": "Images/Adam Challenge/Non-AMD/N0099.jpg",
61
+ "option_A": "Fundus photography",
62
+ "option_B": "X-ray imaging",
63
+ "option_C": "Computed tomography (CT) scan",
64
+ "option_D": "Spirometry",
65
+ "modality_type": "Fundus Photography"
66
+ },
67
+ {
68
+ "dataset": "Adam Challenge",
69
+ "question_id": "Adam Challenge_0005",
70
+ "question_type": "Modality Recognition",
71
+ "question": "What imaging technique is utilized to capture this fundus image?",
72
+ "gt_answer": "Fundus photography",
73
+ "image_path": "Images/Adam Challenge/Non-AMD/N0286.jpg",
74
+ "option_A": "Magnetic resonance imaging (MRI)",
75
+ "option_B": "Fundus photography",
76
+ "option_C": "Blood pressure monitoring",
77
+ "option_D": "Ultrasound imaging",
78
+ "modality_type": "Fundus Photography"
79
+ },
80
+ {
81
+ "dataset": "Adam Challenge",
82
+ "question_id": "Adam Challenge_0006",
83
+ "question_type": "Modality Recognition",
84
+ "question": "What method is employed to obtain this fundus image?",
85
+ "gt_answer": "Fundus photography",
86
+ "image_path": "Images/Adam Challenge/Non-AMD/N0139.jpg",
87
+ "option_A": "Electroencephalography (EEG)",
88
+ "option_B": "Magnetic resonance imaging (MRI)",
89
+ "option_C": "Fundus photography",
90
+ "option_D": "Blood pressure monitoring",
91
+ "modality_type": "Fundus Photography"
92
+ },
93
+ {
94
+ "dataset": "Adam Challenge",
95
+ "question_id": "Adam Challenge_0007",
96
+ "question_type": "Modality Recognition",
97
+ "question": "What method is utilized to capture this image of the fundus?",
98
+ "gt_answer": "Fundus photography",
99
+ "image_path": "Images/Adam Challenge/Non-AMD/N0277.jpg",
100
+ "option_A": "Electrocardiography (ECG)",
101
+ "option_B": "Blood glucose testing",
102
+ "option_C": "Fundus photography",
103
+ "option_D": "X-ray imaging",
104
+ "modality_type": "Fundus Photography"
105
+ },
106
+ {
107
+ "dataset": "Adam Challenge",
108
+ "question_id": "Adam Challenge_0008",
109
+ "question_type": "Modality Recognition",
110
+ "question": "What method is employed to obtain this fundus image?",
111
+ "gt_answer": "Fundus photography",
112
+ "image_path": "Images/Adam Challenge/Non-AMD/N0052.jpg",
113
+ "option_A": "Fundus photography",
114
+ "option_B": "Spirometry",
115
+ "option_C": "Computed tomography (CT) scan",
116
+ "option_D": "Blood glucose testing",
117
+ "modality_type": "Fundus Photography"
118
+ },
119
+ {
120
+ "dataset": "Adam Challenge",
121
+ "question_id": "Adam Challenge_0009",
122
+ "question_type": "Modality Recognition",
123
+ "question": "What technique is employed to capture this image of the fundus?",
124
+ "gt_answer": "Fundus photography",
125
+ "image_path": "Images/Adam Challenge/Non-AMD/N0019.jpg",
126
+ "option_A": "Fundus photography",
127
+ "option_B": "Ultrasound imaging",
128
+ "option_C": "Magnetic resonance imaging (MRI)",
129
+ "option_D": "Blood pressure monitoring",
130
+ "modality_type": "Fundus Photography"
131
+ },
132
+ {
133
+ "dataset": "Adam Challenge",
134
+ "question_id": "Adam Challenge_0010",
135
+ "question_type": "Disease Diagnosis",
136
+ "question": "What is the specific type of abnormality shown in this image?",
137
+ "gt_answer": "Age-related Macular degeneration (AMD).",
138
+ "image_path": "Images/Adam Challenge/AMD/A0077.jpg",
139
+ "option_A": "Retinal detachment",
140
+ "option_B": "Age-related Macular degeneration (AMD).",
141
+ "option_C": "Optic neuritis",
142
+ "option_D": "Uveitis",
143
+ "modality_type": "Fundus Photography"
144
+ },
145
+ {
146
+ "dataset": "Adam Challenge",
147
+ "question_id": "Adam Challenge_0011",
148
+ "question_type": "Disease Diagnosis",
149
+ "question": "What is the specific type of abnormality shown in this image?",
150
+ "gt_answer": "Age-related Macular degeneration (AMD).",
151
+ "image_path": "Images/Adam Challenge/AMD/A0003.jpg",
152
+ "option_A": "Color blindness",
153
+ "option_B": "Retinitis pigmentosa",
154
+ "option_C": "Age-related Macular degeneration (AMD).",
155
+ "option_D": "Retinal detachment",
156
+ "modality_type": "Fundus Photography"
157
+ },
158
+ {
159
+ "dataset": "Adam Challenge",
160
+ "question_id": "Adam Challenge_0012",
161
+ "question_type": "Disease Diagnosis",
162
+ "question": "What is the specific type of abnormality shown in this image?",
163
+ "gt_answer": "Age-related Macular degeneration (AMD).",
164
+ "image_path": "Images/Adam Challenge/AMD/A0010.jpg",
165
+ "option_A": "Uveitis",
166
+ "option_B": "Age-related Macular degeneration (AMD).",
167
+ "option_C": "Retinitis pigmentosa",
168
+ "option_D": "Color blindness",
169
+ "modality_type": "Fundus Photography"
170
+ },
171
+ {
172
+ "dataset": "Adam Challenge",
173
+ "question_id": "Adam Challenge_0013",
174
+ "question_type": "Disease Diagnosis",
175
+ "question": "What type of abnormality is depicted in this image?",
176
+ "gt_answer": "Age-related Macular degeneration (AMD).",
177
+ "image_path": "Images/Adam Challenge/AMD/A0085.jpg",
178
+ "option_A": "Glaucoma",
179
+ "option_B": "Retinitis pigmentosa",
180
+ "option_C": "Age-related Macular degeneration (AMD).",
181
+ "option_D": "Color blindness",
182
+ "modality_type": "Fundus Photography"
183
+ },
184
+ {
185
+ "dataset": "Adam Challenge",
186
+ "question_id": "Adam Challenge_0014",
187
+ "question_type": "Disease Diagnosis",
188
+ "question": "What is the specific type of abnormality shown in this image?",
189
+ "gt_answer": "Age-related Macular degeneration (AMD).",
190
+ "image_path": "Images/Adam Challenge/AMD/A0008.jpg",
191
+ "option_A": "Diabetic retinopathy",
192
+ "option_B": "Age-related Macular degeneration (AMD).",
193
+ "option_C": "Retinal detachment",
194
+ "option_D": "Retinitis pigmentosa",
195
+ "modality_type": "Fundus Photography"
196
+ },
197
+ {
198
+ "dataset": "Adam Challenge",
199
+ "question_id": "Adam Challenge_0015",
200
+ "question_type": "Disease Diagnosis",
201
+ "question": "What is the specific type of abnormality shown in this image?",
202
+ "gt_answer": "Age-related Macular degeneration (AMD).",
203
+ "image_path": "Images/Adam Challenge/AMD/A0006.jpg",
204
+ "option_A": "Diabetic retinopathy",
205
+ "option_B": "Age-related Macular degeneration (AMD).",
206
+ "option_C": "Retinitis pigmentosa",
207
+ "option_D": "Uveitis",
208
+ "modality_type": "Fundus Photography"
209
+ },
210
+ {
211
+ "dataset": "Adam Challenge",
212
+ "question_id": "Adam Challenge_0016",
213
+ "question_type": "Disease Diagnosis",
214
+ "question": "What is the specific type of abnormality shown in this image?",
215
+ "gt_answer": "Age-related Macular degeneration (AMD).",
216
+ "image_path": "Images/Adam Challenge/AMD/A0017.jpg",
217
+ "option_A": "Glaucoma",
218
+ "option_B": "Color blindness",
219
+ "option_C": "Diabetic retinopathy",
220
+ "option_D": "Age-related Macular degeneration (AMD).",
221
+ "modality_type": "Fundus Photography"
222
+ },
223
+ {
224
+ "dataset": "Adam Challenge",
225
+ "question_id": "Adam Challenge_0017",
226
+ "question_type": "Disease Diagnosis",
227
+ "question": "What is the specific type of abnormality shown in this image?",
228
+ "gt_answer": "Age-related Macular degeneration (AMD).",
229
+ "image_path": "Images/Adam Challenge/AMD/A0052.jpg",
230
+ "option_A": "Retinal detachment",
231
+ "option_B": "Stargardt disease",
232
+ "option_C": "Age-related Macular degeneration (AMD).",
233
+ "option_D": "Optic neuritis",
234
+ "modality_type": "Fundus Photography"
235
+ },
236
+ {
237
+ "dataset": "Adam Challenge",
238
+ "question_id": "Adam Challenge_0018",
239
+ "question_type": "Disease Diagnosis",
240
+ "question": "What is the specific type of abnormality shown in this image?",
241
+ "gt_answer": "Age-related Macular degeneration (AMD).",
242
+ "image_path": "Images/Adam Challenge/AMD/A0042.jpg",
243
+ "option_A": "Glaucoma",
244
+ "option_B": "Age-related Macular degeneration (AMD).",
245
+ "option_C": "Diabetic retinopathy",
246
+ "option_D": "Cataracts",
247
+ "modality_type": "Fundus Photography"
248
+ },
249
+ {
250
+ "dataset": "Adam Challenge",
251
+ "question_id": "Adam Challenge_0019",
252
+ "question_type": "Disease Diagnosis",
253
+ "question": "What is the specific type of abnormality shown in this image?",
254
+ "gt_answer": "Age-related Macular degeneration (AMD).",
255
+ "image_path": "Images/Adam Challenge/AMD/A0081.jpg",
256
+ "option_A": "Cataracts",
257
+ "option_B": "Age-related Macular degeneration (AMD).",
258
+ "option_C": "Stargardt disease",
259
+ "option_D": "Diabetic retinopathy",
260
+ "modality_type": "Fundus Photography"
261
+ },
262
+ {
263
+ "dataset": "Adam Challenge",
264
+ "question_id": "Adam Challenge_0020",
265
+ "question_type": "Disease Diagnosis",
266
+ "question": "What is the specific type of abnormality shown in this image?",
267
+ "gt_answer": "Age-related Macular degeneration (AMD).",
268
+ "image_path": "Images/Adam Challenge/AMD/A0013.jpg",
269
+ "option_A": "Retinitis pigmentosa",
270
+ "option_B": "Color blindness",
271
+ "option_C": "Stargardt disease",
272
+ "option_D": "Age-related Macular degeneration (AMD).",
273
+ "modality_type": "Fundus Photography"
274
+ },
275
+ {
276
+ "dataset": "Adam Challenge",
277
+ "question_id": "Adam Challenge_0021",
278
+ "question_type": "Disease Diagnosis",
279
+ "question": "What is the specific type of abnormality shown in this image?",
280
+ "gt_answer": "Age-related Macular degeneration (AMD).",
281
+ "image_path": "Images/Adam Challenge/AMD/A0014.jpg",
282
+ "option_A": "Glaucoma",
283
+ "option_B": "Cataracts",
284
+ "option_C": "Retinitis pigmentosa",
285
+ "option_D": "Age-related Macular degeneration (AMD).",
286
+ "modality_type": "Fundus Photography"
287
+ },
288
+ {
289
+ "dataset": "Adam Challenge",
290
+ "question_id": "Adam Challenge_0022",
291
+ "question_type": "Disease Diagnosis",
292
+ "question": "What is the specific type of abnormality shown in this image?",
293
+ "gt_answer": "Age-related Macular degeneration (AMD).",
294
+ "image_path": "Images/Adam Challenge/AMD/A0048.jpg",
295
+ "option_A": "Keratoconus",
296
+ "option_B": "Glaucoma",
297
+ "option_C": "Retinal detachment",
298
+ "option_D": "Age-related Macular degeneration (AMD).",
299
+ "modality_type": "Fundus Photography"
300
+ },
301
+ {
302
+ "dataset": "Adam Challenge",
303
+ "question_id": "Adam Challenge_0023",
304
+ "question_type": "Disease Diagnosis",
305
+ "question": "What is the name of the condition depicted in this image?",
306
+ "gt_answer": "Age-related Macular degeneration (AMD).",
307
+ "image_path": "Images/Adam Challenge/AMD/A0039.jpg",
308
+ "option_A": "Optic neuritis",
309
+ "option_B": "Color blindness",
310
+ "option_C": "Age-related Macular degeneration (AMD).",
311
+ "option_D": "Cataracts",
312
+ "modality_type": "Fundus Photography"
313
+ },
314
+ {
315
+ "dataset": "Adam Challenge",
316
+ "question_id": "Adam Challenge_0024",
317
+ "question_type": "Disease Diagnosis",
318
+ "question": "What is the specific type of abnormality shown in this image?",
319
+ "gt_answer": "Age-related Macular degeneration (AMD).",
320
+ "image_path": "Images/Adam Challenge/AMD/A0070.jpg",
321
+ "option_A": "Retinal detachment",
322
+ "option_B": "Stargardt disease",
323
+ "option_C": "Age-related Macular degeneration (AMD).",
324
+ "option_D": "Cataracts",
325
+ "modality_type": "Fundus Photography"
326
+ },
327
+ {
328
+ "dataset": "Adam Challenge",
329
+ "question_id": "Adam Challenge_0025",
330
+ "question_type": "Disease Diagnosis",
331
+ "question": "What is the specific type of abnormality shown in this image?",
332
+ "gt_answer": "Age-related Macular degeneration (AMD).",
333
+ "image_path": "Images/Adam Challenge/AMD/A0045.jpg",
334
+ "option_A": "Age-related Macular degeneration (AMD).",
335
+ "option_B": "Keratoconus",
336
+ "option_C": "Uveitis",
337
+ "option_D": "Optic neuritis",
338
+ "modality_type": "Fundus Photography"
339
+ },
340
+ {
341
+ "dataset": "Adam Challenge",
342
+ "question_id": "Adam Challenge_0026",
343
+ "question_type": "Disease Diagnosis",
344
+ "question": "What is the name of the particular condition depicted in this picture?",
345
+ "gt_answer": "Age-related Macular degeneration (AMD).",
346
+ "image_path": "Images/Adam Challenge/AMD/A0046.jpg",
347
+ "option_A": "Age-related Macular degeneration (AMD).",
348
+ "option_B": "Cataracts",
349
+ "option_C": "Uveitis",
350
+ "option_D": "Retinal detachment",
351
+ "modality_type": "Fundus Photography"
352
+ },
353
+ {
354
+ "dataset": "Adam Challenge",
355
+ "question_id": "Adam Challenge_0027",
356
+ "question_type": "Disease Diagnosis",
357
+ "question": "What is the specific type of abnormality shown in this image?",
358
+ "gt_answer": "There are no specific abnormalities observed in this image.",
359
+ "image_path": "Images/Adam Challenge/Non-AMD/N0042.jpg",
360
+ "option_A": "The abnormality shown in this image is a fracture.",
361
+ "option_B": "The abnormality shown in this image is a congenital anomaly.",
362
+ "option_C": "There are no specific abnormalities observed in this image.",
363
+ "option_D": "The abnormality shown in this image is a cyst.",
364
+ "modality_type": "Fundus Photography"
365
+ },
366
+ {
367
+ "dataset": "Adam Challenge",
368
+ "question_id": "Adam Challenge_0028",
369
+ "question_type": "Disease Diagnosis",
370
+ "question": "What is the specific type of abnormality shown in this image?",
371
+ "gt_answer": "There are no specific abnormalities observed in this image.",
372
+ "image_path": "Images/Adam Challenge/Non-AMD/N0218.jpg",
373
+ "option_A": "There are no specific abnormalities observed in this image.",
374
+ "option_B": "The abnormality shown in this image is a congenital anomaly.",
375
+ "option_C": "The abnormality shown in this image is a blockage in the blood vessels.",
376
+ "option_D": "The abnormality shown in this image is an enlarged organ.",
377
+ "modality_type": "Fundus Photography"
378
+ },
379
+ {
380
+ "dataset": "Adam Challenge",
381
+ "question_id": "Adam Challenge_0029",
382
+ "question_type": "Disease Diagnosis",
383
+ "question": "What is the specific type of abnormality shown in this image?",
384
+ "gt_answer": "There are no specific abnormalities observed in this image.",
385
+ "image_path": "Images/Adam Challenge/Non-AMD/N0193.jpg",
386
+ "option_A": "There are no specific abnormalities observed in this image.",
387
+ "option_B": "The abnormality shown in this image is a tumor.",
388
+ "option_C": "The abnormality shown in this image is a hernia.",
389
+ "option_D": "The abnormality shown in this image is an infection.",
390
+ "modality_type": "Fundus Photography"
391
+ },
392
+ {
393
+ "dataset": "Adam Challenge",
394
+ "question_id": "Adam Challenge_0030",
395
+ "question_type": "Disease Diagnosis",
396
+ "question": "What is the specific type of abnormality shown in this image?",
397
+ "gt_answer": "There are no specific abnormalities observed in this image.",
398
+ "image_path": "Images/Adam Challenge/Non-AMD/N0207.jpg",
399
+ "option_A": "The abnormality shown in this image is a cyst.",
400
+ "option_B": "The abnormality shown in this image is a hernia.",
401
+ "option_C": "The abnormality shown in this image is an infection.",
402
+ "option_D": "There are no specific abnormalities observed in this image.",
403
+ "modality_type": "Fundus Photography"
404
+ },
405
+ {
406
+ "dataset": "Adam Challenge",
407
+ "question_id": "Adam Challenge_0031",
408
+ "question_type": "Disease Diagnosis",
409
+ "question": "What is the specific type of abnormality shown in this image?",
410
+ "gt_answer": "There are no specific abnormalities observed in this image.",
411
+ "image_path": "Images/Adam Challenge/Non-AMD/N0180.jpg",
412
+ "option_A": "The abnormality shown in this image is an inflammation.",
413
+ "option_B": "There are no specific abnormalities observed in this image.",
414
+ "option_C": "The abnormality shown in this image is a blood clot.",
415
+ "option_D": "The abnormality shown in this image is an enlarged organ.",
416
+ "modality_type": "Fundus Photography"
417
+ },
418
+ {
419
+ "dataset": "Adam Challenge",
420
+ "question_id": "Adam Challenge_0032",
421
+ "question_type": "Disease Diagnosis",
422
+ "question": "What is the specific type of abnormality shown in this image?",
423
+ "gt_answer": "There are no specific abnormalities observed in this image.",
424
+ "image_path": "Images/Adam Challenge/Non-AMD/N0051.jpg",
425
+ "option_A": "The abnormality shown in this image is a hernia.",
426
+ "option_B": "The abnormality shown in this image is an infection.",
427
+ "option_C": "There are no specific abnormalities observed in this image.",
428
+ "option_D": "The abnormality shown in this image is a blood clot.",
429
+ "modality_type": "Fundus Photography"
430
+ },
431
+ {
432
+ "dataset": "Adam Challenge",
433
+ "question_id": "Adam Challenge_0033",
434
+ "question_type": "Disease Diagnosis",
435
+ "question": "What is the specific type of abnormality shown in this image?",
436
+ "gt_answer": "There are no specific abnormalities observed in this image.",
437
+ "image_path": "Images/Adam Challenge/Non-AMD/N0080.jpg",
438
+ "option_A": "The abnormality shown in this image is a hernia.",
439
+ "option_B": "The abnormality shown in this image is a congenital anomaly.",
440
+ "option_C": "There are no specific abnormalities observed in this image.",
441
+ "option_D": "The abnormality shown in this image is a tumor.",
442
+ "modality_type": "Fundus Photography"
443
+ },
444
+ {
445
+ "dataset": "Adam Challenge",
446
+ "question_id": "Adam Challenge_0034",
447
+ "question_type": "Disease Diagnosis",
448
+ "question": "What is the specific type of abnormality shown in this image?",
449
+ "gt_answer": "There are no specific abnormalities observed in this image.",
450
+ "image_path": "Images/Adam Challenge/Non-AMD/N0203.jpg",
451
+ "option_A": "There are no specific abnormalities observed in this image.",
452
+ "option_B": "The abnormality shown in this image is a hernia.",
453
+ "option_C": "The abnormality shown in this image is a tumor.",
454
+ "option_D": "The abnormality shown in this image is a fracture.",
455
+ "modality_type": "Fundus Photography"
456
+ },
457
+ {
458
+ "dataset": "Adam Challenge",
459
+ "question_id": "Adam Challenge_0035",
460
+ "question_type": "Disease Diagnosis",
461
+ "question": "What is the specific type of abnormality shown in this image?",
462
+ "gt_answer": "There are no specific abnormalities observed in this image.",
463
+ "image_path": "Images/Adam Challenge/Non-AMD/N0141.jpg",
464
+ "option_A": "The abnormality shown in this image is a hernia.",
465
+ "option_B": "There are no specific abnormalities observed in this image.",
466
+ "option_C": "The abnormality shown in this image is a fracture.",
467
+ "option_D": "The abnormality shown in this image is a tumor.",
468
+ "modality_type": "Fundus Photography"
469
+ },
470
+ {
471
+ "dataset": "Adam Challenge",
472
+ "question_id": "Adam Challenge_0036",
473
+ "question_type": "Disease Diagnosis",
474
+ "question": "What does the image in question reveal in terms of abnormalities?",
475
+ "gt_answer": "There are no specific abnormalities observed in this image.",
476
+ "image_path": "Images/Adam Challenge/Non-AMD/N0130.jpg",
477
+ "option_A": "The abnormality shown in this image is a fracture.",
478
+ "option_B": "There are no specific abnormalities observed in this image.",
479
+ "option_C": "The abnormality shown in this image is a hernia.",
480
+ "option_D": "The abnormality shown in this image is an infection.",
481
+ "modality_type": "Fundus Photography"
482
+ },
483
+ {
484
+ "dataset": "Adam Challenge",
485
+ "question_id": "Adam Challenge_0037",
486
+ "question_type": "Disease Diagnosis",
487
+ "question": "What type of anomaly, if any, is evident in this image?",
488
+ "gt_answer": "There are no specific abnormalities observed in this image.",
489
+ "image_path": "Images/Adam Challenge/Non-AMD/N0113.jpg",
490
+ "option_A": "There are no specific abnormalities observed in this image.",
491
+ "option_B": "The abnormality shown in this image is a hernia.",
492
+ "option_C": "The abnormality shown in this image is an inflammation.",
493
+ "option_D": "The abnormality shown in this image is a fracture.",
494
+ "modality_type": "Fundus Photography"
495
+ },
496
+ {
497
+ "dataset": "Adam Challenge",
498
+ "question_id": "Adam Challenge_0038",
499
+ "question_type": "Disease Diagnosis",
500
+ "question": "What is the specific type of abnormality shown in this image?",
501
+ "gt_answer": "There are no specific abnormalities observed in this image.",
502
+ "image_path": "Images/Adam Challenge/Non-AMD/N0225.jpg",
503
+ "option_A": "The abnormality shown in this image is a hernia.",
504
+ "option_B": "The abnormality shown in this image is a fracture.",
505
+ "option_C": "The abnormality shown in this image is a tumor.",
506
+ "option_D": "There are no specific abnormalities observed in this image.",
507
+ "modality_type": "Fundus Photography"
508
+ },
509
+ {
510
+ "dataset": "Adam Challenge",
511
+ "question_id": "Adam Challenge_0039",
512
+ "question_type": "Disease Diagnosis",
513
+ "question": "What is the specific type of abnormality shown in this image?",
514
+ "gt_answer": "There are no specific abnormalities observed in this image.",
515
+ "image_path": "Images/Adam Challenge/Non-AMD/N0012.jpg",
516
+ "option_A": "The abnormality shown in this image is a cyst.",
517
+ "option_B": "The abnormality shown in this image is a hernia.",
518
+ "option_C": "The abnormality shown in this image is an enlarged organ.",
519
+ "option_D": "There are no specific abnormalities observed in this image.",
520
+ "modality_type": "Fundus Photography"
521
+ },
522
+ {
523
+ "dataset": "Adam Challenge",
524
+ "question_id": "Adam Challenge_0040",
525
+ "question_type": "Disease Diagnosis",
526
+ "question": "What is the specific type of abnormality shown in this image?",
527
+ "gt_answer": "There are no specific abnormalities observed in this image.",
528
+ "image_path": "Images/Adam Challenge/Non-AMD/N0248.jpg",
529
+ "option_A": "The abnormality shown in this image is a congenital anomaly.",
530
+ "option_B": "The abnormality shown in this image is a blockage in the blood vessels.",
531
+ "option_C": "There are no specific abnormalities observed in this image.",
532
+ "option_D": "The abnormality shown in this image is a cyst.",
533
+ "modality_type": "Fundus Photography"
534
+ },
535
+ {
536
+ "dataset": "Adam Challenge",
537
+ "question_id": "Adam Challenge_0041",
538
+ "question_type": "Disease Diagnosis",
539
+ "question": "What is the specific type of abnormality shown in this image?",
540
+ "gt_answer": "There are no specific abnormalities observed in this image.",
541
+ "image_path": "Images/Adam Challenge/Non-AMD/N0176.jpg",
542
+ "option_A": "There are no specific abnormalities observed in this image.",
543
+ "option_B": "The abnormality shown in this image is an infection.",
544
+ "option_C": "The abnormality shown in this image is an inflammation.",
545
+ "option_D": "The abnormality shown in this image is a tumor.",
546
+ "modality_type": "Fundus Photography"
547
+ },
548
+ {
549
+ "dataset": "Adam Challenge",
550
+ "question_id": "Adam Challenge_0042",
551
+ "question_type": "Disease Diagnosis",
552
+ "question": "What is the specific type of abnormality shown in this image?",
553
+ "gt_answer": "There are no specific abnormalities observed in this image.",
554
+ "image_path": "Images/Adam Challenge/Non-AMD/N0031.jpg",
555
+ "option_A": "The abnormality shown in this image is a cyst.",
556
+ "option_B": "The abnormality shown in this image is a blockage in the blood vessels.",
557
+ "option_C": "The abnormality shown in this image is a congenital anomaly.",
558
+ "option_D": "There are no specific abnormalities observed in this image.",
559
+ "modality_type": "Fundus Photography"
560
+ },
561
+ {
562
+ "dataset": "Adam Challenge",
563
+ "question_id": "Adam Challenge_0043",
564
+ "question_type": "Disease Diagnosis",
565
+ "question": "What is the specific type of abnormality shown in this image?",
566
+ "gt_answer": "There are no specific abnormalities observed in this image.",
567
+ "image_path": "Images/Adam Challenge/Non-AMD/N0183.jpg",
568
+ "option_A": "The abnormality shown in this image is a congenital anomaly.",
569
+ "option_B": "The abnormality shown in this image is an infection.",
570
+ "option_C": "The abnormality shown in this image is a hernia.",
571
+ "option_D": "There are no specific abnormalities observed in this image.",
572
+ "modality_type": "Fundus Photography"
573
+ },
574
+ {
575
+ "dataset": "Adam Challenge",
576
+ "question_id": "Adam Challenge_0044",
577
+ "question_type": "Disease Diagnosis",
578
+ "question": "What does the image in question reveal about any specific abnormalities?",
579
+ "gt_answer": "There are no specific abnormalities observed in this image.",
580
+ "image_path": "Images/Adam Challenge/Non-AMD/N0163.jpg",
581
+ "option_A": "There are no specific abnormalities observed in this image.",
582
+ "option_B": "The abnormality shown in this image is a blockage in the blood vessels.",
583
+ "option_C": "The abnormality shown in this image is an infection.",
584
+ "option_D": "The abnormality shown in this image is a hernia.",
585
+ "modality_type": "Fundus Photography"
586
+ },
587
+ {
588
+ "dataset": "Adam Challenge",
589
+ "question_id": "Adam Challenge_0045",
590
+ "question_type": "Disease Diagnosis",
591
+ "question": "What is the particular type of anomaly depicted in this image?",
592
+ "gt_answer": "There are no specific abnormalities observed in this image.",
593
+ "image_path": "Images/Adam Challenge/Non-AMD/N0168.jpg",
594
+ "option_A": "The abnormality shown in this image is a fracture.",
595
+ "option_B": "There are no specific abnormalities observed in this image.",
596
+ "option_C": "The abnormality shown in this image is an enlarged organ.",
597
+ "option_D": "The abnormality shown in this image is an infection.",
598
+ "modality_type": "Fundus Photography"
599
+ },
600
+ {
601
+ "dataset": "Adam Challenge",
602
+ "question_id": "Adam Challenge_0046",
603
+ "question_type": "Disease Diagnosis",
604
+ "question": "What is the specific type of abnormality shown in this image?",
605
+ "gt_answer": "There are no specific abnormalities observed in this image.",
606
+ "image_path": "Images/Adam Challenge/Non-AMD/N0289.jpg",
607
+ "option_A": "The abnormality shown in this image is an enlarged organ.",
608
+ "option_B": "There are no specific abnormalities observed in this image.",
609
+ "option_C": "The abnormality shown in this image is a congenital anomaly.",
610
+ "option_D": "The abnormality shown in this image is an infection.",
611
+ "modality_type": "Fundus Photography"
612
+ },
613
+ {
614
+ "dataset": "Adam Challenge",
615
+ "question_id": "Adam Challenge_0047",
616
+ "question_type": "Disease Diagnosis",
617
+ "question": "What is the specific type of abnormality shown in this image?",
618
+ "gt_answer": "There are no specific abnormalities observed in this image.",
619
+ "image_path": "Images/Adam Challenge/Non-AMD/N0201.jpg",
620
+ "option_A": "The abnormality shown in this image is an infection.",
621
+ "option_B": "The abnormality shown in this image is a blood clot.",
622
+ "option_C": "There are no specific abnormalities observed in this image.",
623
+ "option_D": "The abnormality shown in this image is an enlarged organ.",
624
+ "modality_type": "Fundus Photography"
625
+ },
626
+ {
627
+ "dataset": "Adam Challenge",
628
+ "question_id": "Adam Challenge_0048",
629
+ "question_type": "Disease Diagnosis",
630
+ "question": "What particular type of anomaly is evident in this image?",
631
+ "gt_answer": "There are no specific abnormalities observed in this image.",
632
+ "image_path": "Images/Adam Challenge/Non-AMD/N0082.jpg",
633
+ "option_A": "The abnormality shown in this image is an inflammation.",
634
+ "option_B": "There are no specific abnormalities observed in this image.",
635
+ "option_C": "The abnormality shown in this image is a congenital anomaly.",
636
+ "option_D": "The abnormality shown in this image is a hernia.",
637
+ "modality_type": "Fundus Photography"
638
+ },
639
+ {
640
+ "dataset": "Adam Challenge",
641
+ "question_id": "Adam Challenge_0049",
642
+ "question_type": "Disease Diagnosis",
643
+ "question": "What does this image show in terms of abnormalities?",
644
+ "gt_answer": "There are no specific abnormalities observed in this image.",
645
+ "image_path": "Images/Adam Challenge/Non-AMD/N0119.jpg",
646
+ "option_A": "The abnormality shown in this image is a tumor.",
647
+ "option_B": "The abnormality shown in this image is an inflammation.",
648
+ "option_C": "The abnormality shown in this image is a hernia.",
649
+ "option_D": "There are no specific abnormalities observed in this image.",
650
+ "modality_type": "Fundus Photography"
651
+ },
652
+ {
653
+ "dataset": "Adam Challenge",
654
+ "question_id": "Adam Challenge_0050",
655
+ "question_type": "Disease Diagnosis",
656
+ "question": "What is the specific type of abnormality shown in this image?",
657
+ "gt_answer": "There are no specific abnormalities observed in this image.",
658
+ "image_path": "Images/Adam Challenge/Non-AMD/N0229.jpg",
659
+ "option_A": "The abnormality shown in this image is an inflammation.",
660
+ "option_B": "There are no specific abnormalities observed in this image.",
661
+ "option_C": "The abnormality shown in this image is a blockage in the blood vessels.",
662
+ "option_D": "The abnormality shown in this image is a fracture.",
663
+ "modality_type": "Fundus Photography"
664
+ },
665
+ {
666
+ "dataset": "Adam Challenge",
667
+ "question_id": "Adam Challenge_0051",
668
+ "question_type": "Disease Diagnosis",
669
+ "question": "What is the specific type of abnormality shown in this image?",
670
+ "gt_answer": "There are no specific abnormalities observed in this image.",
671
+ "image_path": "Images/Adam Challenge/Non-AMD/N0099.jpg",
672
+ "option_A": "There are no specific abnormalities observed in this image.",
673
+ "option_B": "The abnormality shown in this image is a blockage in the blood vessels.",
674
+ "option_C": "The abnormality shown in this image is a fracture.",
675
+ "option_D": "The abnormality shown in this image is a tumor.",
676
+ "modality_type": "Fundus Photography"
677
+ },
678
+ {
679
+ "dataset": "Adam Challenge",
680
+ "question_id": "Adam Challenge_0052",
681
+ "question_type": "Disease Diagnosis",
682
+ "question": "What is the specific type of abnormality shown in this image?",
683
+ "gt_answer": "There are no specific abnormalities observed in this image.",
684
+ "image_path": "Images/Adam Challenge/Non-AMD/N0057.jpg",
685
+ "option_A": "There are no specific abnormalities observed in this image.",
686
+ "option_B": "The abnormality shown in this image is a hernia.",
687
+ "option_C": "The abnormality shown in this image is a tumor.",
688
+ "option_D": "The abnormality shown in this image is a fracture.",
689
+ "modality_type": "Fundus Photography"
690
+ },
691
+ {
692
+ "dataset": "Adam Challenge",
693
+ "question_id": "Adam Challenge_0053",
694
+ "question_type": "Disease Diagnosis",
695
+ "question": "What does this image show in terms of abnormalities?",
696
+ "gt_answer": "There are no specific abnormalities observed in this image.",
697
+ "image_path": "Images/Adam Challenge/Non-AMD/N0126.jpg",
698
+ "option_A": "The abnormality shown in this image is an inflammation.",
699
+ "option_B": "There are no specific abnormalities observed in this image.",
700
+ "option_C": "The abnormality shown in this image is a cyst.",
701
+ "option_D": "The abnormality shown in this image is a congenital anomaly.",
702
+ "modality_type": "Fundus Photography"
703
+ },
704
+ {
705
+ "dataset": "Adam Challenge",
706
+ "question_id": "Adam Challenge_0054",
707
+ "question_type": "Disease Diagnosis",
708
+ "question": "What type of anomaly, if any, is evident in this image?",
709
+ "gt_answer": "There are no specific abnormalities observed in this image.",
710
+ "image_path": "Images/Adam Challenge/Non-AMD/N0286.jpg",
711
+ "option_A": "There are no specific abnormalities observed in this image.",
712
+ "option_B": "The abnormality shown in this image is a blockage in the blood vessels.",
713
+ "option_C": "The abnormality shown in this image is an enlarged organ.",
714
+ "option_D": "The abnormality shown in this image is a tumor.",
715
+ "modality_type": "Fundus Photography"
716
+ },
717
+ {
718
+ "dataset": "Adam Challenge",
719
+ "question_id": "Adam Challenge_0055",
720
+ "question_type": "Disease Diagnosis",
721
+ "question": "What type of abnormality, if any, is depicted in this image?",
722
+ "gt_answer": "There are no specific abnormalities observed in this image.",
723
+ "image_path": "Images/Adam Challenge/Non-AMD/N0025.jpg",
724
+ "option_A": "The abnormality shown in this image is an infection.",
725
+ "option_B": "The abnormality shown in this image is a tumor.",
726
+ "option_C": "The abnormality shown in this image is a blockage in the blood vessels.",
727
+ "option_D": "There are no specific abnormalities observed in this image.",
728
+ "modality_type": "Fundus Photography"
729
+ },
730
+ {
731
+ "dataset": "Adam Challenge",
732
+ "question_id": "Adam Challenge_0056",
733
+ "question_type": "Disease Diagnosis",
734
+ "question": "What type of abnormality, if any, is displayed in this image?",
735
+ "gt_answer": "There are no specific abnormalities observed in this image.",
736
+ "image_path": "Images/Adam Challenge/Non-AMD/N0118.jpg",
737
+ "option_A": "The abnormality shown in this image is an inflammation.",
738
+ "option_B": "The abnormality shown in this image is a hernia.",
739
+ "option_C": "There are no specific abnormalities observed in this image.",
740
+ "option_D": "The abnormality shown in this image is a blood clot.",
741
+ "modality_type": "Fundus Photography"
742
+ },
743
+ {
744
+ "dataset": "Adam Challenge",
745
+ "question_id": "Adam Challenge_0057",
746
+ "question_type": "Disease Diagnosis",
747
+ "question": "What is the specific type of abnormality shown in this image?",
748
+ "gt_answer": "There are no specific abnormalities observed in this image.",
749
+ "image_path": "Images/Adam Challenge/Non-AMD/N0003.jpg",
750
+ "option_A": "The abnormality shown in this image is an infection.",
751
+ "option_B": "The abnormality shown in this image is a cyst.",
752
+ "option_C": "There are no specific abnormalities observed in this image.",
753
+ "option_D": "The abnormality shown in this image is a congenital anomaly.",
754
+ "modality_type": "Fundus Photography"
755
+ },
756
+ {
757
+ "dataset": "Adam Challenge",
758
+ "question_id": "Adam Challenge_0058",
759
+ "question_type": "Disease Diagnosis",
760
+ "question": "What is the specific type of abnormality shown in this image?",
761
+ "gt_answer": "There are no specific abnormalities observed in this image.",
762
+ "image_path": "Images/Adam Challenge/Non-AMD/N0056.jpg",
763
+ "option_A": "The abnormality shown in this image is a cyst.",
764
+ "option_B": "The abnormality shown in this image is a hernia.",
765
+ "option_C": "The abnormality shown in this image is an infection.",
766
+ "option_D": "There are no specific abnormalities observed in this image.",
767
+ "modality_type": "Fundus Photography"
768
+ },
769
+ {
770
+ "dataset": "Adam Challenge",
771
+ "question_id": "Adam Challenge_0059",
772
+ "question_type": "Disease Diagnosis",
773
+ "question": "What kind of abnormality, if any, is visible in this image?",
774
+ "gt_answer": "There are no specific abnormalities observed in this image.",
775
+ "image_path": "Images/Adam Challenge/Non-AMD/N0060.jpg",
776
+ "option_A": "The abnormality shown in this image is a congenital anomaly.",
777
+ "option_B": "There are no specific abnormalities observed in this image.",
778
+ "option_C": "The abnormality shown in this image is a tumor.",
779
+ "option_D": "The abnormality shown in this image is an inflammation.",
780
+ "modality_type": "Fundus Photography"
781
+ },
782
+ {
783
+ "dataset": "Adam Challenge",
784
+ "question_id": "Adam Challenge_0060",
785
+ "question_type": "Disease Diagnosis",
786
+ "question": "What is the specific type of abnormality shown in this image?",
787
+ "gt_answer": "There are no specific abnormalities observed in this image.",
788
+ "image_path": "Images/Adam Challenge/Non-AMD/N0284.jpg",
789
+ "option_A": "The abnormality shown in this image is a cyst.",
790
+ "option_B": "The abnormality shown in this image is a congenital anomaly.",
791
+ "option_C": "There are no specific abnormalities observed in this image.",
792
+ "option_D": "The abnormality shown in this image is a blood clot.",
793
+ "modality_type": "Fundus Photography"
794
+ },
795
+ {
796
+ "dataset": "Adam Challenge",
797
+ "question_id": "Adam Challenge_0061",
798
+ "question_type": "Disease Diagnosis",
799
+ "question": "What type of abnormality, if any, can be identified based on the image shown?",
800
+ "gt_answer": "There are no specific abnormalities observed in this image.",
801
+ "image_path": "Images/Adam Challenge/Non-AMD/N0133.jpg",
802
+ "option_A": "There are no specific abnormalities observed in this image.",
803
+ "option_B": "The abnormality shown in this image is an inflammation.",
804
+ "option_C": "The abnormality shown in this image is a congenital anomaly.",
805
+ "option_D": "The abnormality shown in this image is a blood clot.",
806
+ "modality_type": "Fundus Photography"
807
+ },
808
+ {
809
+ "dataset": "Adam Challenge",
810
+ "question_id": "Adam Challenge_0062",
811
+ "question_type": "Disease Diagnosis",
812
+ "question": "What is the specific type of abnormality shown in this image?",
813
+ "gt_answer": "There are no specific abnormalities observed in this image.",
814
+ "image_path": "Images/Adam Challenge/Non-AMD/N0264.jpg",
815
+ "option_A": "The abnormality shown in this image is an inflammation.",
816
+ "option_B": "There are no specific abnormalities observed in this image.",
817
+ "option_C": "The abnormality shown in this image is a congenital anomaly.",
818
+ "option_D": "The abnormality shown in this image is a hernia.",
819
+ "modality_type": "Fundus Photography"
820
+ },
821
+ {
822
+ "dataset": "Adam Challenge",
823
+ "question_id": "Adam Challenge_0063",
824
+ "question_type": "Disease Diagnosis",
825
+ "question": "What is the specific type of abnormality shown in this image?",
826
+ "gt_answer": "There are no specific abnormalities observed in this image.",
827
+ "image_path": "Images/Adam Challenge/Non-AMD/N0047.jpg",
828
+ "option_A": "There are no specific abnormalities observed in this image.",
829
+ "option_B": "The abnormality shown in this image is a blockage in the blood vessels.",
830
+ "option_C": "The abnormality shown in this image is a fracture.",
831
+ "option_D": "The abnormality shown in this image is a cyst.",
832
+ "modality_type": "Fundus Photography"
833
+ },
834
+ {
835
+ "dataset": "Adam Challenge",
836
+ "question_id": "Adam Challenge_0064",
837
+ "question_type": "Disease Diagnosis",
838
+ "question": "What is the specific type of abnormality shown in this image?",
839
+ "gt_answer": "There are no specific abnormalities observed in this image.",
840
+ "image_path": "Images/Adam Challenge/Non-AMD/N0253.jpg",
841
+ "option_A": "The abnormality shown in this image is a hernia.",
842
+ "option_B": "There are no specific abnormalities observed in this image.",
843
+ "option_C": "The abnormality shown in this image is a fracture.",
844
+ "option_D": "The abnormality shown in this image is a cyst.",
845
+ "modality_type": "Fundus Photography"
846
+ },
847
+ {
848
+ "dataset": "Adam Challenge",
849
+ "question_id": "Adam Challenge_0065",
850
+ "question_type": "Disease Diagnosis",
851
+ "question": "What is the specific type of abnormality shown in this image?",
852
+ "gt_answer": "There are no specific abnormalities observed in this image.",
853
+ "image_path": "Images/Adam Challenge/Non-AMD/N0043.jpg",
854
+ "option_A": "There are no specific abnormalities observed in this image.",
855
+ "option_B": "The abnormality shown in this image is a blood clot.",
856
+ "option_C": "The abnormality shown in this image is an infection.",
857
+ "option_D": "The abnormality shown in this image is a cyst.",
858
+ "modality_type": "Fundus Photography"
859
+ },
860
+ {
861
+ "dataset": "Adam Challenge",
862
+ "question_id": "Adam Challenge_0066",
863
+ "question_type": "Disease Diagnosis",
864
+ "question": "What is the specific type of abnormality shown in this image?",
865
+ "gt_answer": "There are no specific abnormalities observed in this image.",
866
+ "image_path": "Images/Adam Challenge/Non-AMD/N0274.jpg",
867
+ "option_A": "The abnormality shown in this image is a cyst.",
868
+ "option_B": "The abnormality shown in this image is a hernia.",
869
+ "option_C": "The abnormality shown in this image is a tumor.",
870
+ "option_D": "There are no specific abnormalities observed in this image.",
871
+ "modality_type": "Fundus Photography"
872
+ },
873
+ {
874
+ "dataset": "Adam Challenge",
875
+ "question_id": "Adam Challenge_0067",
876
+ "question_type": "Disease Diagnosis",
877
+ "question": "What is the specific type of abnormality shown in this image?",
878
+ "gt_answer": "There are no specific abnormalities observed in this image.",
879
+ "image_path": "Images/Adam Challenge/Non-AMD/N0257.jpg",
880
+ "option_A": "The abnormality shown in this image is an enlarged organ.",
881
+ "option_B": "The abnormality shown in this image is a cyst.",
882
+ "option_C": "There are no specific abnormalities observed in this image.",
883
+ "option_D": "The abnormality shown in this image is an inflammation.",
884
+ "modality_type": "Fundus Photography"
885
+ },
886
+ {
887
+ "dataset": "Adam Challenge",
888
+ "question_id": "Adam Challenge_0068",
889
+ "question_type": "Disease Diagnosis",
890
+ "question": "What is the specific type of abnormality shown in this image?",
891
+ "gt_answer": "There are no specific abnormalities observed in this image.",
892
+ "image_path": "Images/Adam Challenge/Non-AMD/N0034.jpg",
893
+ "option_A": "The abnormality shown in this image is a hernia.",
894
+ "option_B": "The abnormality shown in this image is an enlarged organ.",
895
+ "option_C": "There are no specific abnormalities observed in this image.",
896
+ "option_D": "The abnormality shown in this image is a blockage in the blood vessels.",
897
+ "modality_type": "Fundus Photography"
898
+ },
899
+ {
900
+ "dataset": "Adam Challenge",
901
+ "question_id": "Adam Challenge_0069",
902
+ "question_type": "Disease Diagnosis",
903
+ "question": "What type of abnormality, if any, is evident in this image?",
904
+ "gt_answer": "There are no specific abnormalities observed in this image.",
905
+ "image_path": "Images/Adam Challenge/Non-AMD/N0021.jpg",
906
+ "option_A": "The abnormality shown in this image is a congenital anomaly.",
907
+ "option_B": "The abnormality shown in this image is a cyst.",
908
+ "option_C": "The abnormality shown in this image is a tumor.",
909
+ "option_D": "There are no specific abnormalities observed in this image.",
910
+ "modality_type": "Fundus Photography"
911
+ },
912
+ {
913
+ "dataset": "Adam Challenge",
914
+ "question_id": "Adam Challenge_0070",
915
+ "question_type": "Disease Diagnosis",
916
+ "question": "What particular type of anomaly is evident in this image?",
917
+ "gt_answer": "There are no specific abnormalities observed in this image.",
918
+ "image_path": "Images/Adam Challenge/Non-AMD/N0304.jpg",
919
+ "option_A": "The abnormality shown in this image is an enlarged organ.",
920
+ "option_B": "The abnormality shown in this image is a tumor.",
921
+ "option_C": "There are no specific abnormalities observed in this image.",
922
+ "option_D": "The abnormality shown in this image is an inflammation.",
923
+ "modality_type": "Fundus Photography"
924
+ },
925
+ {
926
+ "dataset": "Adam Challenge",
927
+ "question_id": "Adam Challenge_0071",
928
+ "question_type": "Disease Diagnosis",
929
+ "question": "What is the specific type of abnormality shown in this image?",
930
+ "gt_answer": "There are no specific abnormalities observed in this image.",
931
+ "image_path": "Images/Adam Challenge/Non-AMD/N0309.jpg",
932
+ "option_A": "There are no specific abnormalities observed in this image.",
933
+ "option_B": "The abnormality shown in this image is an enlarged organ.",
934
+ "option_C": "The abnormality shown in this image is a blockage in the blood vessels.",
935
+ "option_D": "The abnormality shown in this image is an inflammation.",
936
+ "modality_type": "Fundus Photography"
937
+ },
938
+ {
939
+ "dataset": "Adam Challenge",
940
+ "question_id": "Adam Challenge_0072",
941
+ "question_type": "Disease Diagnosis",
942
+ "question": "What type of abnormality, if any, is depicted in this image?",
943
+ "gt_answer": "There are no specific abnormalities observed in this image.",
944
+ "image_path": "Images/Adam Challenge/Non-AMD/N0109.jpg",
945
+ "option_A": "The abnormality shown in this image is a cyst.",
946
+ "option_B": "The abnormality shown in this image is a tumor.",
947
+ "option_C": "There are no specific abnormalities observed in this image.",
948
+ "option_D": "The abnormality shown in this image is a hernia.",
949
+ "modality_type": "Fundus Photography"
950
+ },
951
+ {
952
+ "dataset": "Adam Challenge",
953
+ "question_id": "Adam Challenge_0073",
954
+ "question_type": "Disease Diagnosis",
955
+ "question": "What is the specific type of abnormality shown in this image?",
956
+ "gt_answer": "There are no specific abnormalities observed in this image.",
957
+ "image_path": "Images/Adam Challenge/Non-AMD/N0120.jpg",
958
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+ "question": "Which imaging modality was utilized to obtain this image?",
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+ "question": "What type of imaging was utilized to obtain this image?",
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+ "question": "What type of imaging was utilized to acquire this image?",
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+ "gt_answer": "CT.",
138
+ "image_path": "Images/Covid CT/CT_NonCOVID/1952.png",
139
+ "option_A": "Ultrasound",
140
+ "option_B": "PET scan",
141
+ "option_C": "Fluoroscopy",
142
+ "option_D": "CT.",
143
+ "modality_type": "CT(Computed Tomography)"
144
+ },
145
+ {
146
+ "dataset": "Covid CT",
147
+ "question_id": "Covid CT_0011",
148
+ "question_type": "Modality Recognition",
149
+ "question": "What type of imaging was utilized to obtain this image?",
150
+ "gt_answer": "CT.",
151
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.04.20030395-p27-108%0.png",
152
+ "option_A": "MRI",
153
+ "option_B": "Angiography",
154
+ "option_C": "Bone scan",
155
+ "option_D": "CT.",
156
+ "modality_type": "CT(Computed Tomography)"
157
+ },
158
+ {
159
+ "dataset": "Covid CT",
160
+ "question_id": "Covid CT_0012",
161
+ "question_type": "Modality Recognition",
162
+ "question": "Which imaging technique was utilized to acquire this image?",
163
+ "gt_answer": "CT.",
164
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p23-108%4.png",
165
+ "option_A": "Angiography",
166
+ "option_B": "Bone scan",
167
+ "option_C": "CT.",
168
+ "option_D": "Fluoroscopy",
169
+ "modality_type": "CT(Computed Tomography)"
170
+ },
171
+ {
172
+ "dataset": "Covid CT",
173
+ "question_id": "Covid CT_0013",
174
+ "question_type": "Modality Recognition",
175
+ "question": "Which imaging technique was utilized to obtain this image?",
176
+ "gt_answer": "CT.",
177
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.22.20034041-p16-66.png",
178
+ "option_A": "PET scan",
179
+ "option_B": "X-ray",
180
+ "option_C": "Angiography",
181
+ "option_D": "CT.",
182
+ "modality_type": "CT(Computed Tomography)"
183
+ },
184
+ {
185
+ "dataset": "Covid CT",
186
+ "question_id": "Covid CT_0014",
187
+ "question_type": "Modality Recognition",
188
+ "question": "Which type of imaging was utilized to produce this image?",
189
+ "gt_answer": "CT.",
190
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.12.20027185-p8-217.png",
191
+ "option_A": "CT.",
192
+ "option_B": "Thermography",
193
+ "option_C": "Mammography",
194
+ "option_D": "Angiography",
195
+ "modality_type": "CT(Computed Tomography)"
196
+ },
197
+ {
198
+ "dataset": "Covid CT",
199
+ "question_id": "Covid CT_0015",
200
+ "question_type": "Modality Recognition",
201
+ "question": "Which imaging technique was utilized to obtain this image?",
202
+ "gt_answer": "CT.",
203
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p24-111%0.png",
204
+ "option_A": "Endoscopy",
205
+ "option_B": "Mammography",
206
+ "option_C": "CT.",
207
+ "option_D": "Angiography",
208
+ "modality_type": "CT(Computed Tomography)"
209
+ },
210
+ {
211
+ "dataset": "Covid CT",
212
+ "question_id": "Covid CT_0016",
213
+ "question_type": "Modality Recognition",
214
+ "question": "Which type of imaging modality was utilized to obtain this image?",
215
+ "gt_answer": "CT.",
216
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.22.20040782-p24-1533-3.png",
217
+ "option_A": "CT.",
218
+ "option_B": "Ultrasound",
219
+ "option_C": "Bone scan",
220
+ "option_D": "Thermography",
221
+ "modality_type": "CT(Computed Tomography)"
222
+ },
223
+ {
224
+ "dataset": "Covid CT",
225
+ "question_id": "Covid CT_0017",
226
+ "question_type": "Modality Recognition",
227
+ "question": "What type of imaging was employed to capture this image?",
228
+ "gt_answer": "CT.",
229
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.22.20024927-p18-66%0.png",
230
+ "option_A": "Fluoroscopy",
231
+ "option_B": "Bone scan",
232
+ "option_C": "CT.",
233
+ "option_D": "Mammography",
234
+ "modality_type": "CT(Computed Tomography)"
235
+ },
236
+ {
237
+ "dataset": "Covid CT",
238
+ "question_id": "Covid CT_0018",
239
+ "question_type": "Modality Recognition",
240
+ "question": "What type of medical imaging was utilized to obtain this picture?",
241
+ "gt_answer": "CT.",
242
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.12.20034686-p17-91-5.png",
243
+ "option_A": "Angiography",
244
+ "option_B": "Mammography",
245
+ "option_C": "CT.",
246
+ "option_D": "Bone scan",
247
+ "modality_type": "CT(Computed Tomography)"
248
+ },
249
+ {
250
+ "dataset": "Covid CT",
251
+ "question_id": "Covid CT_0019",
252
+ "question_type": "Modality Recognition",
253
+ "question": "What type of imaging was utilized to capture this image?",
254
+ "gt_answer": "CT.",
255
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.12.20027185-p8-221.png",
256
+ "option_A": "Fluoroscopy",
257
+ "option_B": "PET scan",
258
+ "option_C": "CT.",
259
+ "option_D": "X-ray",
260
+ "modality_type": "CT(Computed Tomography)"
261
+ },
262
+ {
263
+ "dataset": "Covid CT",
264
+ "question_id": "Covid CT_0020",
265
+ "question_type": "Modality Recognition",
266
+ "question": "What type of imaging was utilized to acquire this image?",
267
+ "gt_answer": "CT.",
268
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.18.20038125-p16-56-1.png",
269
+ "option_A": "PET scan",
270
+ "option_B": "CT.",
271
+ "option_C": "MRI",
272
+ "option_D": "Fluoroscopy",
273
+ "modality_type": "CT(Computed Tomography)"
274
+ },
275
+ {
276
+ "dataset": "Covid CT",
277
+ "question_id": "Covid CT_0021",
278
+ "question_type": "Modality Recognition",
279
+ "question": "What type of imaging was employed to obtain this image?",
280
+ "gt_answer": "CT.",
281
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20027763-p15-53%1.png",
282
+ "option_A": "X-ray",
283
+ "option_B": "Fluoroscopy",
284
+ "option_C": "CT.",
285
+ "option_D": "Bone scan",
286
+ "modality_type": "CT(Computed Tomography)"
287
+ },
288
+ {
289
+ "dataset": "Covid CT",
290
+ "question_id": "Covid CT_0022",
291
+ "question_type": "Modality Recognition",
292
+ "question": "Which imaging technique was employed to obtain this image?",
293
+ "gt_answer": "CT.",
294
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p24-111%1.png",
295
+ "option_A": "MRI",
296
+ "option_B": "Ultrasound",
297
+ "option_C": "Fluoroscopy",
298
+ "option_D": "CT.",
299
+ "modality_type": "CT(Computed Tomography)"
300
+ },
301
+ {
302
+ "dataset": "Covid CT",
303
+ "question_id": "Covid CT_0023",
304
+ "question_type": "Modality Recognition",
305
+ "question": "What type of imaging was utilized to produce this image?",
306
+ "gt_answer": "CT.",
307
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.22.20024927-p19-68%5.png",
308
+ "option_A": "Endoscopy",
309
+ "option_B": "Ultrasound",
310
+ "option_C": "CT.",
311
+ "option_D": "Thermography",
312
+ "modality_type": "CT(Computed Tomography)"
313
+ },
314
+ {
315
+ "dataset": "Covid CT",
316
+ "question_id": "Covid CT_0024",
317
+ "question_type": "Modality Recognition",
318
+ "question": "What imaging technique was utilized to obtain this image?",
319
+ "gt_answer": "CT.",
320
+ "image_path": "Images/Covid CT/CT_COVID/2020.01.24.919183-p27-132.png",
321
+ "option_A": "Endoscopy",
322
+ "option_B": "MRI",
323
+ "option_C": "Ultrasound",
324
+ "option_D": "CT.",
325
+ "modality_type": "CT(Computed Tomography)"
326
+ },
327
+ {
328
+ "dataset": "Covid CT",
329
+ "question_id": "Covid CT_0025",
330
+ "question_type": "Modality Recognition",
331
+ "question": "What modality of imaging was employed to obtain this image?",
332
+ "gt_answer": "CT.",
333
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.13.20022673-p13-77%0.png",
334
+ "option_A": "Bone scan",
335
+ "option_B": "Mammography",
336
+ "option_C": "CT.",
337
+ "option_D": "Fluoroscopy",
338
+ "modality_type": "CT(Computed Tomography)"
339
+ },
340
+ {
341
+ "dataset": "Covid CT",
342
+ "question_id": "Covid CT_0026",
343
+ "question_type": "Modality Recognition",
344
+ "question": "Which imaging modality was utilized to obtain this image?",
345
+ "gt_answer": "CT.",
346
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.10.20021584-p6-52%13.png",
347
+ "option_A": "Fluoroscopy",
348
+ "option_B": "Ultrasound",
349
+ "option_C": "MRI",
350
+ "option_D": "CT.",
351
+ "modality_type": "CT(Computed Tomography)"
352
+ },
353
+ {
354
+ "dataset": "Covid CT",
355
+ "question_id": "Covid CT_0027",
356
+ "question_type": "Modality Recognition",
357
+ "question": "What modality was utilized to obtain this image?",
358
+ "gt_answer": "CT.",
359
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.03.20030775-p10-88%0.png",
360
+ "option_A": "Ultrasound",
361
+ "option_B": "CT.",
362
+ "option_C": "Bone scan",
363
+ "option_D": "Fluoroscopy",
364
+ "modality_type": "CT(Computed Tomography)"
365
+ },
366
+ {
367
+ "dataset": "Covid CT",
368
+ "question_id": "Covid CT_0028",
369
+ "question_type": "Anatomy Identification",
370
+ "question": "What part of the body is shown in this image?",
371
+ "gt_answer": "Chest region.",
372
+ "image_path": "Images/Covid CT/CT_NonCOVID/52%0.jpg",
373
+ "option_A": "Hip region",
374
+ "option_B": "Chest region.",
375
+ "option_C": "Upper arm region",
376
+ "option_D": "Lower back region",
377
+ "modality_type": "CT(Computed Tomography)"
378
+ },
379
+ {
380
+ "dataset": "Covid CT",
381
+ "question_id": "Covid CT_0029",
382
+ "question_type": "Anatomy Identification",
383
+ "question": "What is the anatomical location of the area shown in the image?",
384
+ "gt_answer": "Chest region.",
385
+ "image_path": "Images/Covid CT/CT_NonCOVID/120.png",
386
+ "option_A": "Shoulder and upper back region",
387
+ "option_B": "Hand and wrist region",
388
+ "option_C": "Chest region.",
389
+ "option_D": "Pelvic region",
390
+ "modality_type": "CT(Computed Tomography)"
391
+ },
392
+ {
393
+ "dataset": "Covid CT",
394
+ "question_id": "Covid CT_0030",
395
+ "question_type": "Anatomy Identification",
396
+ "question": "In what anatomical area is this image showing?",
397
+ "gt_answer": "Chest region.",
398
+ "image_path": "Images/Covid CT/CT_NonCOVID/383.png",
399
+ "option_A": "Abdominal region",
400
+ "option_B": "Head and neck region",
401
+ "option_C": "Upper arm region",
402
+ "option_D": "Chest region.",
403
+ "modality_type": "CT(Computed Tomography)"
404
+ },
405
+ {
406
+ "dataset": "Covid CT",
407
+ "question_id": "Covid CT_0031",
408
+ "question_type": "Anatomy Identification",
409
+ "question": "What body area is shown in this image?",
410
+ "gt_answer": "Chest region.",
411
+ "image_path": "Images/Covid CT/CT_NonCOVID/2140.png",
412
+ "option_A": "Chest region.",
413
+ "option_B": "Upper arm region",
414
+ "option_C": "Foot and ankle region",
415
+ "option_D": "Hip region",
416
+ "modality_type": "CT(Computed Tomography)"
417
+ },
418
+ {
419
+ "dataset": "Covid CT",
420
+ "question_id": "Covid CT_0032",
421
+ "question_type": "Anatomy Identification",
422
+ "question": "What body area is shown in the given image?",
423
+ "gt_answer": "Chest region.",
424
+ "image_path": "Images/Covid CT/CT_NonCOVID/18%0.jpg",
425
+ "option_A": "Head and neck region",
426
+ "option_B": "Hip region",
427
+ "option_C": "Chest region.",
428
+ "option_D": "Shoulder and upper back region",
429
+ "modality_type": "CT(Computed Tomography)"
430
+ },
431
+ {
432
+ "dataset": "Covid CT",
433
+ "question_id": "Covid CT_0033",
434
+ "question_type": "Anatomy Identification",
435
+ "question": "What anatomical area does this image represent?",
436
+ "gt_answer": "Chest region.",
437
+ "image_path": "Images/Covid CT/CT_NonCOVID/26%0.jpg",
438
+ "option_A": "Abdominal region",
439
+ "option_B": "Upper arm region",
440
+ "option_C": "Leg region",
441
+ "option_D": "Chest region.",
442
+ "modality_type": "CT(Computed Tomography)"
443
+ },
444
+ {
445
+ "dataset": "Covid CT",
446
+ "question_id": "Covid CT_0034",
447
+ "question_type": "Anatomy Identification",
448
+ "question": "What part of the body is shown in this image?",
449
+ "gt_answer": "Chest region.",
450
+ "image_path": "Images/Covid CT/CT_NonCOVID/673.png",
451
+ "option_A": "Chest region.",
452
+ "option_B": "Abdominal region",
453
+ "option_C": "Leg region",
454
+ "option_D": "Shoulder and upper back region",
455
+ "modality_type": "CT(Computed Tomography)"
456
+ },
457
+ {
458
+ "dataset": "Covid CT",
459
+ "question_id": "Covid CT_0035",
460
+ "question_type": "Anatomy Identification",
461
+ "question": "What anatomical area is shown in this image?",
462
+ "gt_answer": "Chest region.",
463
+ "image_path": "Images/Covid CT/CT_NonCOVID/3.jpg",
464
+ "option_A": "Chest region.",
465
+ "option_B": "Shoulder and upper back region",
466
+ "option_C": "Foot and ankle region",
467
+ "option_D": "Pelvic region",
468
+ "modality_type": "CT(Computed Tomography)"
469
+ },
470
+ {
471
+ "dataset": "Covid CT",
472
+ "question_id": "Covid CT_0036",
473
+ "question_type": "Anatomy Identification",
474
+ "question": "What is the anatomical area shown in this image?",
475
+ "gt_answer": "Chest region.",
476
+ "image_path": "Images/Covid CT/CT_NonCOVID/86.jpg",
477
+ "option_A": "Upper arm region",
478
+ "option_B": "Chest region.",
479
+ "option_C": "Head and neck region",
480
+ "option_D": "Pelvic region",
481
+ "modality_type": "CT(Computed Tomography)"
482
+ },
483
+ {
484
+ "dataset": "Covid CT",
485
+ "question_id": "Covid CT_0037",
486
+ "question_type": "Anatomy Identification",
487
+ "question": "What body area is shown in the provided image?",
488
+ "gt_answer": "Chest region.",
489
+ "image_path": "Images/Covid CT/CT_NonCOVID/26.png",
490
+ "option_A": "Leg region",
491
+ "option_B": "Chest region.",
492
+ "option_C": "Abdominal region",
493
+ "option_D": "Head and neck region",
494
+ "modality_type": "CT(Computed Tomography)"
495
+ },
496
+ {
497
+ "dataset": "Covid CT",
498
+ "question_id": "Covid CT_0038",
499
+ "question_type": "Anatomy Identification",
500
+ "question": "What specific area of the body does this picture represent?",
501
+ "gt_answer": "Chest region.",
502
+ "image_path": "Images/Covid CT/CT_NonCOVID/2039.png",
503
+ "option_A": "Abdominal region",
504
+ "option_B": "Chest region.",
505
+ "option_C": "Lower back region",
506
+ "option_D": "Leg region",
507
+ "modality_type": "CT(Computed Tomography)"
508
+ },
509
+ {
510
+ "dataset": "Covid CT",
511
+ "question_id": "Covid CT_0039",
512
+ "question_type": "Anatomy Identification",
513
+ "question": "What anatomical region is depicted in this image?",
514
+ "gt_answer": "Chest region.",
515
+ "image_path": "Images/Covid CT/CT_NonCOVID/65%2.jpg",
516
+ "option_A": "Lower back region",
517
+ "option_B": "Chest region.",
518
+ "option_C": "Shoulder and upper back region",
519
+ "option_D": "Head and neck region",
520
+ "modality_type": "CT(Computed Tomography)"
521
+ },
522
+ {
523
+ "dataset": "Covid CT",
524
+ "question_id": "Covid CT_0040",
525
+ "question_type": "Anatomy Identification",
526
+ "question": "What specific area of the body is shown in this image?",
527
+ "gt_answer": "Chest region.",
528
+ "image_path": "Images/Covid CT/CT_NonCOVID/19%0.jpg",
529
+ "option_A": "Hip region",
530
+ "option_B": "Hand and wrist region",
531
+ "option_C": "Chest region.",
532
+ "option_D": "Foot and ankle region",
533
+ "modality_type": "CT(Computed Tomography)"
534
+ },
535
+ {
536
+ "dataset": "Covid CT",
537
+ "question_id": "Covid CT_0041",
538
+ "question_type": "Anatomy Identification",
539
+ "question": "What area of the anatomy is depicted in this image?",
540
+ "gt_answer": "Chest region.",
541
+ "image_path": "Images/Covid CT/CT_NonCOVID/81%3.jpg",
542
+ "option_A": "Chest region.",
543
+ "option_B": "Hip region",
544
+ "option_C": "Shoulder and upper back region",
545
+ "option_D": "Abdominal region",
546
+ "modality_type": "CT(Computed Tomography)"
547
+ },
548
+ {
549
+ "dataset": "Covid CT",
550
+ "question_id": "Covid CT_0042",
551
+ "question_type": "Anatomy Identification",
552
+ "question": "Which anatomical area does this image represent?",
553
+ "gt_answer": "Chest region.",
554
+ "image_path": "Images/Covid CT/CT_NonCOVID/22%0.jpg",
555
+ "option_A": "Abdominal region",
556
+ "option_B": "Hip region",
557
+ "option_C": "Leg region",
558
+ "option_D": "Chest region.",
559
+ "modality_type": "CT(Computed Tomography)"
560
+ },
561
+ {
562
+ "dataset": "Covid CT",
563
+ "question_id": "Covid CT_0043",
564
+ "question_type": "Anatomy Identification",
565
+ "question": "What area of the body is shown in the image?",
566
+ "gt_answer": "Chest region.",
567
+ "image_path": "Images/Covid CT/CT_NonCOVID/1919.png",
568
+ "option_A": "Lower back region",
569
+ "option_B": "Hip region",
570
+ "option_C": "Chest region.",
571
+ "option_D": "Upper arm region",
572
+ "modality_type": "CT(Computed Tomography)"
573
+ },
574
+ {
575
+ "dataset": "Covid CT",
576
+ "question_id": "Covid CT_0044",
577
+ "question_type": "Anatomy Identification",
578
+ "question": "What body part is shown in this image?",
579
+ "gt_answer": "Chest region.",
580
+ "image_path": "Images/Covid CT/CT_NonCOVID/51%2.jpg",
581
+ "option_A": "Leg region",
582
+ "option_B": "Hip region",
583
+ "option_C": "Chest region.",
584
+ "option_D": "Pelvic region",
585
+ "modality_type": "CT(Computed Tomography)"
586
+ },
587
+ {
588
+ "dataset": "Covid CT",
589
+ "question_id": "Covid CT_0045",
590
+ "question_type": "Anatomy Identification",
591
+ "question": "In what area of the body is this image depicting?",
592
+ "gt_answer": "Chest region.",
593
+ "image_path": "Images/Covid CT/CT_NonCOVID/4%3.jpg",
594
+ "option_A": "Pelvic region",
595
+ "option_B": "Chest region.",
596
+ "option_C": "Foot and ankle region",
597
+ "option_D": "Hip region",
598
+ "modality_type": "CT(Computed Tomography)"
599
+ },
600
+ {
601
+ "dataset": "Covid CT",
602
+ "question_id": "Covid CT_0046",
603
+ "question_type": "Anatomy Identification",
604
+ "question": "What anatomical region is shown in this image?",
605
+ "gt_answer": "Chest region.",
606
+ "image_path": "Images/Covid CT/CT_NonCOVID/1061.png",
607
+ "option_A": "Foot and ankle region",
608
+ "option_B": "Lower back region",
609
+ "option_C": "Pelvic region",
610
+ "option_D": "Chest region.",
611
+ "modality_type": "CT(Computed Tomography)"
612
+ },
613
+ {
614
+ "dataset": "Covid CT",
615
+ "question_id": "Covid CT_0047",
616
+ "question_type": "Anatomy Identification",
617
+ "question": "What part of the body is depicted in this image?",
618
+ "gt_answer": "Chest region.",
619
+ "image_path": "Images/Covid CT/CT_NonCOVID/47.jpg",
620
+ "option_A": "Shoulder and upper back region",
621
+ "option_B": "Leg region",
622
+ "option_C": "Chest region.",
623
+ "option_D": "Upper arm region",
624
+ "modality_type": "CT(Computed Tomography)"
625
+ },
626
+ {
627
+ "dataset": "Covid CT",
628
+ "question_id": "Covid CT_0048",
629
+ "question_type": "Anatomy Identification",
630
+ "question": "What anatomical region is shown in this image?",
631
+ "gt_answer": "Chest region.",
632
+ "image_path": "Images/Covid CT/CT_NonCOVID/1297.png",
633
+ "option_A": "Chest region.",
634
+ "option_B": "Shoulder and upper back region",
635
+ "option_C": "Pelvic region",
636
+ "option_D": "Hip region",
637
+ "modality_type": "CT(Computed Tomography)"
638
+ },
639
+ {
640
+ "dataset": "Covid CT",
641
+ "question_id": "Covid CT_0049",
642
+ "question_type": "Anatomy Identification",
643
+ "question": "What specific area of the human anatomy is illustrated in this picture?",
644
+ "gt_answer": "Chest region.",
645
+ "image_path": "Images/Covid CT/CT_NonCOVID/781.png",
646
+ "option_A": "Abdominal region",
647
+ "option_B": "Chest region.",
648
+ "option_C": "Pelvic region",
649
+ "option_D": "Hand and wrist region",
650
+ "modality_type": "CT(Computed Tomography)"
651
+ },
652
+ {
653
+ "dataset": "Covid CT",
654
+ "question_id": "Covid CT_0050",
655
+ "question_type": "Anatomy Identification",
656
+ "question": "What is the anatomical area shown in this picture?",
657
+ "gt_answer": "Chest region.",
658
+ "image_path": "Images/Covid CT/CT_NonCOVID/84%0.jpg",
659
+ "option_A": "Hip region",
660
+ "option_B": "Lower back region",
661
+ "option_C": "Chest region.",
662
+ "option_D": "Hand and wrist region",
663
+ "modality_type": "CT(Computed Tomography)"
664
+ },
665
+ {
666
+ "dataset": "Covid CT",
667
+ "question_id": "Covid CT_0051",
668
+ "question_type": "Anatomy Identification",
669
+ "question": "What area of the body is shown in the provided image?",
670
+ "gt_answer": "Chest region.",
671
+ "image_path": "Images/Covid CT/CT_NonCOVID/486.png",
672
+ "option_A": "Chest region.",
673
+ "option_B": "Abdominal region",
674
+ "option_C": "Shoulder and upper back region",
675
+ "option_D": "Pelvic region",
676
+ "modality_type": "CT(Computed Tomography)"
677
+ },
678
+ {
679
+ "dataset": "Covid CT",
680
+ "question_id": "Covid CT_0052",
681
+ "question_type": "Anatomy Identification",
682
+ "question": "What part of the body does this image represent?",
683
+ "gt_answer": "Chest region.",
684
+ "image_path": "Images/Covid CT/CT_NonCOVID/579.png",
685
+ "option_A": "Hip region",
686
+ "option_B": "Chest region.",
687
+ "option_C": "Lower back region",
688
+ "option_D": "Hand and wrist region",
689
+ "modality_type": "CT(Computed Tomography)"
690
+ },
691
+ {
692
+ "dataset": "Covid CT",
693
+ "question_id": "Covid CT_0053",
694
+ "question_type": "Anatomy Identification",
695
+ "question": "What area of the body does this image portray?",
696
+ "gt_answer": "Chest region.",
697
+ "image_path": "Images/Covid CT/CT_NonCOVID/1497.png",
698
+ "option_A": "Foot and ankle region",
699
+ "option_B": "Chest region.",
700
+ "option_C": "Upper arm region",
701
+ "option_D": "Hip region",
702
+ "modality_type": "CT(Computed Tomography)"
703
+ },
704
+ {
705
+ "dataset": "Covid CT",
706
+ "question_id": "Covid CT_0054",
707
+ "question_type": "Anatomy Identification",
708
+ "question": "What part of the body is shown in this image?",
709
+ "gt_answer": "Chest region.",
710
+ "image_path": "Images/Covid CT/CT_NonCOVID/39%1.jpg",
711
+ "option_A": "Hip region",
712
+ "option_B": "Chest region.",
713
+ "option_C": "Pelvic region",
714
+ "option_D": "Hand and wrist region",
715
+ "modality_type": "CT(Computed Tomography)"
716
+ },
717
+ {
718
+ "dataset": "Covid CT",
719
+ "question_id": "Covid CT_0055",
720
+ "question_type": "Anatomy Identification",
721
+ "question": "Which anatomical area does this image represent?",
722
+ "gt_answer": "Chest region.",
723
+ "image_path": "Images/Covid CT/CT_NonCOVID/754.png",
724
+ "option_A": "Leg region",
725
+ "option_B": "Chest region.",
726
+ "option_C": "Hip region",
727
+ "option_D": "Foot and ankle region",
728
+ "modality_type": "CT(Computed Tomography)"
729
+ },
730
+ {
731
+ "dataset": "Covid CT",
732
+ "question_id": "Covid CT_0056",
733
+ "question_type": "Anatomy Identification",
734
+ "question": "In what area of the body is this image showing?",
735
+ "gt_answer": "Chest region.",
736
+ "image_path": "Images/Covid CT/CT_NonCOVID/25.png",
737
+ "option_A": "Chest region.",
738
+ "option_B": "Hand and wrist region",
739
+ "option_C": "Head and neck region",
740
+ "option_D": "Leg region",
741
+ "modality_type": "CT(Computed Tomography)"
742
+ },
743
+ {
744
+ "dataset": "Covid CT",
745
+ "question_id": "Covid CT_0057",
746
+ "question_type": "Anatomy Identification",
747
+ "question": "What is the anatomical location of the area shown in the image?",
748
+ "gt_answer": "Chest region.",
749
+ "image_path": "Images/Covid CT/CT_NonCOVID/29%2.jpg",
750
+ "option_A": "Shoulder and upper back region",
751
+ "option_B": "Abdominal region",
752
+ "option_C": "Chest region.",
753
+ "option_D": "Hip region",
754
+ "modality_type": "CT(Computed Tomography)"
755
+ },
756
+ {
757
+ "dataset": "Covid CT",
758
+ "question_id": "Covid CT_0058",
759
+ "question_type": "Anatomy Identification",
760
+ "question": "What anatomical area does this picture represent?",
761
+ "gt_answer": "Chest region.",
762
+ "image_path": "Images/Covid CT/CT_NonCOVID/1101.png",
763
+ "option_A": "Chest region.",
764
+ "option_B": "Leg region",
765
+ "option_C": "Foot and ankle region",
766
+ "option_D": "Shoulder and upper back region",
767
+ "modality_type": "CT(Computed Tomography)"
768
+ },
769
+ {
770
+ "dataset": "Covid CT",
771
+ "question_id": "Covid CT_0059",
772
+ "question_type": "Anatomy Identification",
773
+ "question": "What area of the body does this picture show?",
774
+ "gt_answer": "Chest region.",
775
+ "image_path": "Images/Covid CT/CT_NonCOVID/38%1.jpg",
776
+ "option_A": "Hand and wrist region",
777
+ "option_B": "Head and neck region",
778
+ "option_C": "Lower back region",
779
+ "option_D": "Chest region.",
780
+ "modality_type": "CT(Computed Tomography)"
781
+ },
782
+ {
783
+ "dataset": "Covid CT",
784
+ "question_id": "Covid CT_0060",
785
+ "question_type": "Anatomy Identification",
786
+ "question": "What is the anatomical area represented in this picture?",
787
+ "gt_answer": "Chest region.",
788
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.26.20026989-p34-114_1%1.png",
789
+ "option_A": "Upper arm region",
790
+ "option_B": "Hip region",
791
+ "option_C": "Chest region.",
792
+ "option_D": "Lower back region",
793
+ "modality_type": "CT(Computed Tomography)"
794
+ },
795
+ {
796
+ "dataset": "Covid CT",
797
+ "question_id": "Covid CT_0061",
798
+ "question_type": "Anatomy Identification",
799
+ "question": "What specific area of the body is shown in the provided image?",
800
+ "gt_answer": "Chest region.",
801
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.19.20025023-p20-93%3.png",
802
+ "option_A": "Foot and ankle region",
803
+ "option_B": "Abdominal region",
804
+ "option_C": "Hand and wrist region",
805
+ "option_D": "Chest region.",
806
+ "modality_type": "CT(Computed Tomography)"
807
+ },
808
+ {
809
+ "dataset": "Covid CT",
810
+ "question_id": "Covid CT_0062",
811
+ "question_type": "Anatomy Identification",
812
+ "question": "What part of the body is depicted in this image?",
813
+ "gt_answer": "Chest region.",
814
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.11.20022053-p12-67%1.png",
815
+ "option_A": "Chest region.",
816
+ "option_B": "Pelvic region",
817
+ "option_C": "Hand and wrist region",
818
+ "option_D": "Head and neck region",
819
+ "modality_type": "CT(Computed Tomography)"
820
+ },
821
+ {
822
+ "dataset": "Covid CT",
823
+ "question_id": "Covid CT_0063",
824
+ "question_type": "Anatomy Identification",
825
+ "question": "What body area is shown in this image?",
826
+ "gt_answer": "Chest region.",
827
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.12.20034686-p17-91-2.png",
828
+ "option_A": "Foot and ankle region",
829
+ "option_B": "Chest region.",
830
+ "option_C": "Abdominal region",
831
+ "option_D": "Pelvic region",
832
+ "modality_type": "CT(Computed Tomography)"
833
+ },
834
+ {
835
+ "dataset": "Covid CT",
836
+ "question_id": "Covid CT_0064",
837
+ "question_type": "Anatomy Identification",
838
+ "question": "What anatomical area does this picture represent?",
839
+ "gt_answer": "Chest region.",
840
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.22.20034041-p16-66.png",
841
+ "option_A": "Pelvic region",
842
+ "option_B": "Chest region.",
843
+ "option_C": "Hip region",
844
+ "option_D": "Lower back region",
845
+ "modality_type": "CT(Computed Tomography)"
846
+ },
847
+ {
848
+ "dataset": "Covid CT",
849
+ "question_id": "Covid CT_0065",
850
+ "question_type": "Anatomy Identification",
851
+ "question": "What part of the body is shown in the image?",
852
+ "gt_answer": "Chest region.",
853
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.09.20033118-p20-93%3.png",
854
+ "option_A": "Lower back region",
855
+ "option_B": "Foot and ankle region",
856
+ "option_C": "Leg region",
857
+ "option_D": "Chest region.",
858
+ "modality_type": "CT(Computed Tomography)"
859
+ },
860
+ {
861
+ "dataset": "Covid CT",
862
+ "question_id": "Covid CT_0066",
863
+ "question_type": "Anatomy Identification",
864
+ "question": "What part of the body is shown in this image?",
865
+ "gt_answer": "Chest region.",
866
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.22.20034041-p18-92-2.png",
867
+ "option_A": "Chest region.",
868
+ "option_B": "Lower back region",
869
+ "option_C": "Head and neck region",
870
+ "option_D": "Hand and wrist region",
871
+ "modality_type": "CT(Computed Tomography)"
872
+ },
873
+ {
874
+ "dataset": "Covid CT",
875
+ "question_id": "Covid CT_0067",
876
+ "question_type": "Anatomy Identification",
877
+ "question": "What area of the body is shown in this image?",
878
+ "gt_answer": "Chest region.",
879
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.08.20031658-p15-105.png",
880
+ "option_A": "Lower back region",
881
+ "option_B": "Chest region.",
882
+ "option_C": "Pelvic region",
883
+ "option_D": "Upper arm region",
884
+ "modality_type": "CT(Computed Tomography)"
885
+ },
886
+ {
887
+ "dataset": "Covid CT",
888
+ "question_id": "Covid CT_0068",
889
+ "question_type": "Anatomy Identification",
890
+ "question": "What is the body region shown in this image?",
891
+ "gt_answer": "Chest region.",
892
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.04.20031047-p12-81%1.png",
893
+ "option_A": "Hip region",
894
+ "option_B": "Chest region.",
895
+ "option_C": "Upper arm region",
896
+ "option_D": "Foot and ankle region",
897
+ "modality_type": "CT(Computed Tomography)"
898
+ },
899
+ {
900
+ "dataset": "Covid CT",
901
+ "question_id": "Covid CT_0069",
902
+ "question_type": "Anatomy Identification",
903
+ "question": "Which part of the body is shown in this image?",
904
+ "gt_answer": "Chest region.",
905
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.11.20022053-p12-67%2.png",
906
+ "option_A": "Shoulder and upper back region",
907
+ "option_B": "Foot and ankle region",
908
+ "option_C": "Upper arm region",
909
+ "option_D": "Chest region.",
910
+ "modality_type": "CT(Computed Tomography)"
911
+ },
912
+ {
913
+ "dataset": "Covid CT",
914
+ "question_id": "Covid CT_0070",
915
+ "question_type": "Anatomy Identification",
916
+ "question": "What part of the body is depicted in this image?",
917
+ "gt_answer": "Chest region.",
918
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p23-108%13.png",
919
+ "option_A": "Shoulder and upper back region",
920
+ "option_B": "Lower back region",
921
+ "option_C": "Chest region.",
922
+ "option_D": "Pelvic region",
923
+ "modality_type": "CT(Computed Tomography)"
924
+ },
925
+ {
926
+ "dataset": "Covid CT",
927
+ "question_id": "Covid CT_0071",
928
+ "question_type": "Anatomy Identification",
929
+ "question": "What part of the body does this picture show?",
930
+ "gt_answer": "Chest region.",
931
+ "image_path": "Images/Covid CT/CT_COVID/kjr-21-e25-p1-6.png",
932
+ "option_A": "Head and neck region",
933
+ "option_B": "Hand and wrist region",
934
+ "option_C": "Abdominal region",
935
+ "option_D": "Chest region.",
936
+ "modality_type": "CT(Computed Tomography)"
937
+ },
938
+ {
939
+ "dataset": "Covid CT",
940
+ "question_id": "Covid CT_0072",
941
+ "question_type": "Anatomy Identification",
942
+ "question": "What part of the body is shown in this picture?",
943
+ "gt_answer": "Chest region.",
944
+ "image_path": "Images/Covid CT/CT_COVID/kjr-21-e25-p1-12.png",
945
+ "option_A": "Abdominal region",
946
+ "option_B": "Leg region",
947
+ "option_C": "Pelvic region",
948
+ "option_D": "Chest region.",
949
+ "modality_type": "CT(Computed Tomography)"
950
+ },
951
+ {
952
+ "dataset": "Covid CT",
953
+ "question_id": "Covid CT_0073",
954
+ "question_type": "Anatomy Identification",
955
+ "question": "What is the anatomical location represented in this image?",
956
+ "gt_answer": "Chest region.",
957
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.22.20024927-p18-66%0.png",
958
+ "option_A": "Upper arm region",
959
+ "option_B": "Chest region.",
960
+ "option_C": "Abdominal region",
961
+ "option_D": "Leg region",
962
+ "modality_type": "CT(Computed Tomography)"
963
+ },
964
+ {
965
+ "dataset": "Covid CT",
966
+ "question_id": "Covid CT_0074",
967
+ "question_type": "Anatomy Identification",
968
+ "question": "What is the anatomical location of the body shown in this image?",
969
+ "gt_answer": "Chest region.",
970
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.22.20024927-p19-68%3.png",
971
+ "option_A": "Chest region.",
972
+ "option_B": "Hip region",
973
+ "option_C": "Lower back region",
974
+ "option_D": "Shoulder and upper back region",
975
+ "modality_type": "CT(Computed Tomography)"
976
+ },
977
+ {
978
+ "dataset": "Covid CT",
979
+ "question_id": "Covid CT_0075",
980
+ "question_type": "Anatomy Identification",
981
+ "question": "What anatomical area does this picture represent?",
982
+ "gt_answer": "Chest region.",
983
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.18.20038125-p16-56-1.png",
984
+ "option_A": "Chest region.",
985
+ "option_B": "Upper arm region",
986
+ "option_C": "Pelvic region",
987
+ "option_D": "Shoulder and upper back region",
988
+ "modality_type": "CT(Computed Tomography)"
989
+ },
990
+ {
991
+ "dataset": "Covid CT",
992
+ "question_id": "Covid CT_0076",
993
+ "question_type": "Anatomy Identification",
994
+ "question": "What area of the body does this picture represent?",
995
+ "gt_answer": "Chest region.",
996
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.01.20029769-p21-73_1%0.png",
997
+ "option_A": "Abdominal region",
998
+ "option_B": "Hip region",
999
+ "option_C": "Chest region.",
1000
+ "option_D": "Shoulder and upper back region",
1001
+ "modality_type": "CT(Computed Tomography)"
1002
+ },
1003
+ {
1004
+ "dataset": "Covid CT",
1005
+ "question_id": "Covid CT_0077",
1006
+ "question_type": "Anatomy Identification",
1007
+ "question": "What part of the body is depicted in this image?",
1008
+ "gt_answer": "Chest region.",
1009
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20027763-p15-53%1.png",
1010
+ "option_A": "Lower back region",
1011
+ "option_B": "Pelvic region",
1012
+ "option_C": "Chest region.",
1013
+ "option_D": "Foot and ankle region",
1014
+ "modality_type": "CT(Computed Tomography)"
1015
+ },
1016
+ {
1017
+ "dataset": "Covid CT",
1018
+ "question_id": "Covid CT_0078",
1019
+ "question_type": "Anatomy Identification",
1020
+ "question": "In what area of the body is this image illustrating?",
1021
+ "gt_answer": "Chest region.",
1022
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.01.20029769-p21-73_2%1.png",
1023
+ "option_A": "Hip region",
1024
+ "option_B": "Hand and wrist region",
1025
+ "option_C": "Leg region",
1026
+ "option_D": "Chest region.",
1027
+ "modality_type": "CT(Computed Tomography)"
1028
+ },
1029
+ {
1030
+ "dataset": "Covid CT",
1031
+ "question_id": "Covid CT_0079",
1032
+ "question_type": "Anatomy Identification",
1033
+ "question": "What specific area of the body does this picture represent?",
1034
+ "gt_answer": "Chest region.",
1035
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p24-111%9.png",
1036
+ "option_A": "Chest region.",
1037
+ "option_B": "Abdominal region",
1038
+ "option_C": "Shoulder and upper back region",
1039
+ "option_D": "Hip region",
1040
+ "modality_type": "CT(Computed Tomography)"
1041
+ },
1042
+ {
1043
+ "dataset": "Covid CT",
1044
+ "question_id": "Covid CT_0080",
1045
+ "question_type": "Anatomy Identification",
1046
+ "question": "What anatomical area does this image represent?",
1047
+ "gt_answer": "Chest region.",
1048
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.13.20022673-p13-77%2.png",
1049
+ "option_A": "Chest region.",
1050
+ "option_B": "Lower back region",
1051
+ "option_C": "Pelvic region",
1052
+ "option_D": "Hand and wrist region",
1053
+ "modality_type": "CT(Computed Tomography)"
1054
+ },
1055
+ {
1056
+ "dataset": "Covid CT",
1057
+ "question_id": "Covid CT_0081",
1058
+ "question_type": "Anatomy Identification",
1059
+ "question": "What area of the body does this picture represent?",
1060
+ "gt_answer": "Chest region.",
1061
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.21.20040691-p18-67-2.png",
1062
+ "option_A": "Foot and ankle region",
1063
+ "option_B": "Hand and wrist region",
1064
+ "option_C": "Chest region.",
1065
+ "option_D": "Head and neck region",
1066
+ "modality_type": "CT(Computed Tomography)"
1067
+ },
1068
+ {
1069
+ "dataset": "Covid CT",
1070
+ "question_id": "Covid CT_0082",
1071
+ "question_type": "Anatomy Identification",
1072
+ "question": "What anatomical area is shown in this picture?",
1073
+ "gt_answer": "Chest region.",
1074
+ "image_path": "Images/Covid CT/CT_COVID/bmj.m606.full-p4-22%3.png",
1075
+ "option_A": "Upper arm region",
1076
+ "option_B": "Chest region.",
1077
+ "option_C": "Leg region",
1078
+ "option_D": "Shoulder and upper back region",
1079
+ "modality_type": "CT(Computed Tomography)"
1080
+ },
1081
+ {
1082
+ "dataset": "Covid CT",
1083
+ "question_id": "Covid CT_0083",
1084
+ "question_type": "Anatomy Identification",
1085
+ "question": "In what area of the body is this image depicting?",
1086
+ "gt_answer": "Chest region.",
1087
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.16.20036145-p19-128-2.png",
1088
+ "option_A": "Chest region.",
1089
+ "option_B": "Shoulder and upper back region",
1090
+ "option_C": "Hip region",
1091
+ "option_D": "Head and neck region",
1092
+ "modality_type": "CT(Computed Tomography)"
1093
+ },
1094
+ {
1095
+ "dataset": "Covid CT",
1096
+ "question_id": "Covid CT_0084",
1097
+ "question_type": "Anatomy Identification",
1098
+ "question": "Which anatomical area does this image represent?",
1099
+ "gt_answer": "Chest region.",
1100
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.13.20022673-p13-77%0.png",
1101
+ "option_A": "Upper arm region",
1102
+ "option_B": "Chest region.",
1103
+ "option_C": "Leg region",
1104
+ "option_D": "Pelvic region",
1105
+ "modality_type": "CT(Computed Tomography)"
1106
+ },
1107
+ {
1108
+ "dataset": "Covid CT",
1109
+ "question_id": "Covid CT_0085",
1110
+ "question_type": "Anatomy Identification",
1111
+ "question": "What part of the body is shown in this image?",
1112
+ "gt_answer": "Chest region.",
1113
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.10.20021584-p6-52%6.png",
1114
+ "option_A": "Chest region.",
1115
+ "option_B": "Head and neck region",
1116
+ "option_C": "Foot and ankle region",
1117
+ "option_D": "Leg region",
1118
+ "modality_type": "CT(Computed Tomography)"
1119
+ },
1120
+ {
1121
+ "dataset": "Covid CT",
1122
+ "question_id": "Covid CT_0086",
1123
+ "question_type": "Anatomy Identification",
1124
+ "question": "What part of the anatomy is shown in this image?",
1125
+ "gt_answer": "Chest region.",
1126
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.12.20027185-p8-216.png",
1127
+ "option_A": "Chest region.",
1128
+ "option_B": "Shoulder and upper back region",
1129
+ "option_C": "Abdominal region",
1130
+ "option_D": "Upper arm region",
1131
+ "modality_type": "CT(Computed Tomography)"
1132
+ },
1133
+ {
1134
+ "dataset": "Covid CT",
1135
+ "question_id": "Covid CT_0087",
1136
+ "question_type": "Anatomy Identification",
1137
+ "question": "What is the anatomical area represented in this picture?",
1138
+ "gt_answer": "Chest region.",
1139
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.01.20029769-p21-73_2%2.png",
1140
+ "option_A": "Foot and ankle region",
1141
+ "option_B": "Hand and wrist region",
1142
+ "option_C": "Chest region.",
1143
+ "option_D": "Lower back region",
1144
+ "modality_type": "CT(Computed Tomography)"
1145
+ },
1146
+ {
1147
+ "dataset": "Covid CT",
1148
+ "question_id": "Covid CT_0088",
1149
+ "question_type": "Anatomy Identification",
1150
+ "question": "What is the anatomical location represented in this image?",
1151
+ "gt_answer": "Chest region.",
1152
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.10.20021584-p6-52%13.png",
1153
+ "option_A": "Chest region.",
1154
+ "option_B": "Upper arm region",
1155
+ "option_C": "Foot and ankle region",
1156
+ "option_D": "Hand and wrist region",
1157
+ "modality_type": "CT(Computed Tomography)"
1158
+ },
1159
+ {
1160
+ "dataset": "Covid CT",
1161
+ "question_id": "Covid CT_0089",
1162
+ "question_type": "Anatomy Identification",
1163
+ "question": "What is the anatomical location of the area shown in this image?",
1164
+ "gt_answer": "Chest region.",
1165
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.03.20030775-p10-88%0.png",
1166
+ "option_A": "Abdominal region",
1167
+ "option_B": "Chest region.",
1168
+ "option_C": "Foot and ankle region",
1169
+ "option_D": "Pelvic region",
1170
+ "modality_type": "CT(Computed Tomography)"
1171
+ },
1172
+ {
1173
+ "dataset": "Covid CT",
1174
+ "question_id": "Covid CT_0090",
1175
+ "question_type": "Disease Diagnosis",
1176
+ "question": "What is the diagnosis for the abnormality seen in this image?",
1177
+ "gt_answer": "COVID-19 infection.",
1178
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.03.20030775-p12-93%0.png",
1179
+ "option_A": "Pulmonary embolism",
1180
+ "option_B": "Tuberculosis",
1181
+ "option_C": "COVID-19 infection.",
1182
+ "option_D": "Influenza",
1183
+ "modality_type": "CT(Computed Tomography)"
1184
+ },
1185
+ {
1186
+ "dataset": "Covid CT",
1187
+ "question_id": "Covid CT_0091",
1188
+ "question_type": "Disease Diagnosis",
1189
+ "question": "What specific abnormality is present in this image?",
1190
+ "gt_answer": "COVID-19 infection.",
1191
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.26.20026989-p34-114_1%1.png",
1192
+ "option_A": "Pneumonia",
1193
+ "option_B": "COVID-19 infection.",
1194
+ "option_C": "Lung cancer",
1195
+ "option_D": "SARS (Severe Acute Respiratory Syndrome)",
1196
+ "modality_type": "CT(Computed Tomography)"
1197
+ },
1198
+ {
1199
+ "dataset": "Covid CT",
1200
+ "question_id": "Covid CT_0092",
1201
+ "question_type": "Disease Diagnosis",
1202
+ "question": "What is the specific condition depicted in this image?",
1203
+ "gt_answer": "COVID-19 infection.",
1204
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.04.20030395-p27-108%0.png",
1205
+ "option_A": "Bronchitis",
1206
+ "option_B": "Asthma exacerbation",
1207
+ "option_C": "Pneumonia",
1208
+ "option_D": "COVID-19 infection.",
1209
+ "modality_type": "CT(Computed Tomography)"
1210
+ },
1211
+ {
1212
+ "dataset": "Covid CT",
1213
+ "question_id": "Covid CT_0093",
1214
+ "question_type": "Disease Diagnosis",
1215
+ "question": "What is the identifiable anomaly shown in this image?",
1216
+ "gt_answer": "COVID-19 infection.",
1217
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.22.20034041-p18-92-1.png",
1218
+ "option_A": "Tuberculosis",
1219
+ "option_B": "Influenza",
1220
+ "option_C": "Asthma exacerbation",
1221
+ "option_D": "COVID-19 infection.",
1222
+ "modality_type": "CT(Computed Tomography)"
1223
+ },
1224
+ {
1225
+ "dataset": "Covid CT",
1226
+ "question_id": "Covid CT_0094",
1227
+ "question_type": "Disease Diagnosis",
1228
+ "question": "What is the diagnosis for the abnormality observed in this image?",
1229
+ "gt_answer": "COVID-19 infection.",
1230
+ "image_path": "Images/Covid CT/CT_COVID/kjr-21-e25-p1-10.png",
1231
+ "option_A": "Lung cancer",
1232
+ "option_B": "Tuberculosis",
1233
+ "option_C": "COVID-19 infection.",
1234
+ "option_D": "Asthma exacerbation",
1235
+ "modality_type": "CT(Computed Tomography)"
1236
+ },
1237
+ {
1238
+ "dataset": "Covid CT",
1239
+ "question_id": "Covid CT_0095",
1240
+ "question_type": "Disease Diagnosis",
1241
+ "question": "What specific abnormality is present in this image?",
1242
+ "gt_answer": "COVID-19 infection.",
1243
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p23-108%4.png",
1244
+ "option_A": "Sinusitis",
1245
+ "option_B": "Bronchitis",
1246
+ "option_C": "COVID-19 infection.",
1247
+ "option_D": "Influenza",
1248
+ "modality_type": "CT(Computed Tomography)"
1249
+ },
1250
+ {
1251
+ "dataset": "Covid CT",
1252
+ "question_id": "Covid CT_0096",
1253
+ "question_type": "Disease Diagnosis",
1254
+ "question": "What specific abnormality is present in this image?",
1255
+ "gt_answer": "COVID-19 infection.",
1256
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.13.20035212-p23-157.png",
1257
+ "option_A": "Lung cancer",
1258
+ "option_B": "COVID-19 infection.",
1259
+ "option_C": "Influenza",
1260
+ "option_D": "Tuberculosis",
1261
+ "modality_type": "CT(Computed Tomography)"
1262
+ },
1263
+ {
1264
+ "dataset": "Covid CT",
1265
+ "question_id": "Covid CT_0097",
1266
+ "question_type": "Disease Diagnosis",
1267
+ "question": "What specific abnormality is present in this image?",
1268
+ "gt_answer": "COVID-19 infection.",
1269
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.09.20033118-p20-93%3.png",
1270
+ "option_A": "Common cold",
1271
+ "option_B": "Bronchitis",
1272
+ "option_C": "COVID-19 infection.",
1273
+ "option_D": "Lung cancer",
1274
+ "modality_type": "CT(Computed Tomography)"
1275
+ },
1276
+ {
1277
+ "dataset": "Covid CT",
1278
+ "question_id": "Covid CT_0098",
1279
+ "question_type": "Disease Diagnosis",
1280
+ "question": "What is the condition depicted in this image?",
1281
+ "gt_answer": "COVID-19 infection.",
1282
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.04.20031047-p12-81%1.png",
1283
+ "option_A": "COVID-19 infection.",
1284
+ "option_B": "Sinusitis",
1285
+ "option_C": "Lung cancer",
1286
+ "option_D": "Asthma exacerbation",
1287
+ "modality_type": "CT(Computed Tomography)"
1288
+ },
1289
+ {
1290
+ "dataset": "Covid CT",
1291
+ "question_id": "Covid CT_0099",
1292
+ "question_type": "Disease Diagnosis",
1293
+ "question": "What specific abnormality is present in this image?",
1294
+ "gt_answer": "COVID-19 infection.",
1295
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p24-111%0.png",
1296
+ "option_A": "COVID-19 infection.",
1297
+ "option_B": "Lung cancer",
1298
+ "option_C": "Pulmonary embolism",
1299
+ "option_D": "Asthma exacerbation",
1300
+ "modality_type": "CT(Computed Tomography)"
1301
+ },
1302
+ {
1303
+ "dataset": "Covid CT",
1304
+ "question_id": "Covid CT_0100",
1305
+ "question_type": "Disease Diagnosis",
1306
+ "question": "What particular condition is evident in this image?",
1307
+ "gt_answer": "COVID-19 infection.",
1308
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.11.20022053-p12-67%2.png",
1309
+ "option_A": "Influenza",
1310
+ "option_B": "Bronchitis",
1311
+ "option_C": "Pulmonary embolism",
1312
+ "option_D": "COVID-19 infection.",
1313
+ "modality_type": "CT(Computed Tomography)"
1314
+ },
1315
+ {
1316
+ "dataset": "Covid CT",
1317
+ "question_id": "Covid CT_0101",
1318
+ "question_type": "Disease Diagnosis",
1319
+ "question": "What is the particular anomaly depicted in this image?",
1320
+ "gt_answer": "COVID-19 infection.",
1321
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p23-108%12.png",
1322
+ "option_A": "Bronchitis",
1323
+ "option_B": "Tuberculosis",
1324
+ "option_C": "COVID-19 infection.",
1325
+ "option_D": "Influenza",
1326
+ "modality_type": "CT(Computed Tomography)"
1327
+ },
1328
+ {
1329
+ "dataset": "Covid CT",
1330
+ "question_id": "Covid CT_0102",
1331
+ "question_type": "Disease Diagnosis",
1332
+ "question": "What is the specific condition represented by the abnormality seen in this image?",
1333
+ "gt_answer": "COVID-19 infection.",
1334
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.26.20041426-p11-127.png",
1335
+ "option_A": "Asthma exacerbation",
1336
+ "option_B": "SARS (Severe Acute Respiratory Syndrome)",
1337
+ "option_C": "COVID-19 infection.",
1338
+ "option_D": "Bronchitis",
1339
+ "modality_type": "CT(Computed Tomography)"
1340
+ },
1341
+ {
1342
+ "dataset": "Covid CT",
1343
+ "question_id": "Covid CT_0103",
1344
+ "question_type": "Disease Diagnosis",
1345
+ "question": "What specific abnormality is present in this image?",
1346
+ "gt_answer": "COVID-19 infection.",
1347
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.22.20040782-p24-1533-3.png",
1348
+ "option_A": "Lung cancer",
1349
+ "option_B": "COVID-19 infection.",
1350
+ "option_C": "Pulmonary embolism",
1351
+ "option_D": "Common cold",
1352
+ "modality_type": "CT(Computed Tomography)"
1353
+ },
1354
+ {
1355
+ "dataset": "Covid CT",
1356
+ "question_id": "Covid CT_0104",
1357
+ "question_type": "Disease Diagnosis",
1358
+ "question": "What is the diagnosis for the specific abnormality seen in this image?",
1359
+ "gt_answer": "COVID-19 infection.",
1360
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.22.20024927-p19-68%3.png",
1361
+ "option_A": "Tuberculosis",
1362
+ "option_B": "Lung cancer",
1363
+ "option_C": "Influenza",
1364
+ "option_D": "COVID-19 infection.",
1365
+ "modality_type": "CT(Computed Tomography)"
1366
+ },
1367
+ {
1368
+ "dataset": "Covid CT",
1369
+ "question_id": "Covid CT_0105",
1370
+ "question_type": "Disease Diagnosis",
1371
+ "question": "What specific abnormality is present in this image?",
1372
+ "gt_answer": "COVID-19 infection.",
1373
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p23-108%15.png",
1374
+ "option_A": "Bronchitis",
1375
+ "option_B": "SARS (Severe Acute Respiratory Syndrome)",
1376
+ "option_C": "Asthma exacerbation",
1377
+ "option_D": "COVID-19 infection.",
1378
+ "modality_type": "CT(Computed Tomography)"
1379
+ },
1380
+ {
1381
+ "dataset": "Covid CT",
1382
+ "question_id": "Covid CT_0106",
1383
+ "question_type": "Disease Diagnosis",
1384
+ "question": "What is the documented abnormality visible in this image?",
1385
+ "gt_answer": "COVID-19 infection.",
1386
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.12.20027185-p8-221.png",
1387
+ "option_A": "COVID-19 infection.",
1388
+ "option_B": "SARS (Severe Acute Respiratory Syndrome)",
1389
+ "option_C": "Asthma exacerbation",
1390
+ "option_D": "Sinusitis",
1391
+ "modality_type": "CT(Computed Tomography)"
1392
+ },
1393
+ {
1394
+ "dataset": "Covid CT",
1395
+ "question_id": "Covid CT_0107",
1396
+ "question_type": "Disease Diagnosis",
1397
+ "question": "What specific abnormality is present in this image?",
1398
+ "gt_answer": "COVID-19 infection.",
1399
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.12.20034686-p17-91-4.png",
1400
+ "option_A": "COVID-19 infection.",
1401
+ "option_B": "Asthma exacerbation",
1402
+ "option_C": "SARS (Severe Acute Respiratory Syndrome)",
1403
+ "option_D": "Common cold",
1404
+ "modality_type": "CT(Computed Tomography)"
1405
+ },
1406
+ {
1407
+ "dataset": "Covid CT",
1408
+ "question_id": "Covid CT_0108",
1409
+ "question_type": "Disease Diagnosis",
1410
+ "question": "What specific abnormality is present in this image?",
1411
+ "gt_answer": "COVID-19 infection.",
1412
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.10.20021584-p6-52%12.png",
1413
+ "option_A": "COVID-19 infection.",
1414
+ "option_B": "Common cold",
1415
+ "option_C": "Pulmonary embolism",
1416
+ "option_D": "SARS (Severe Acute Respiratory Syndrome)",
1417
+ "modality_type": "CT(Computed Tomography)"
1418
+ },
1419
+ {
1420
+ "dataset": "Covid CT",
1421
+ "question_id": "Covid CT_0109",
1422
+ "question_type": "Disease Diagnosis",
1423
+ "question": "What specific abnormality is present in this image?",
1424
+ "gt_answer": "COVID-19 infection.",
1425
+ "image_path": "Images/Covid CT/CT_COVID/Recurrence-of-positive-SARS-CoV-2-RNA-in-C_2020_International-Journal-of-Inf-p1-21%1.png",
1426
+ "option_A": "Pulmonary embolism",
1427
+ "option_B": "COVID-19 infection.",
1428
+ "option_C": "Bronchitis",
1429
+ "option_D": "Common cold",
1430
+ "modality_type": "CT(Computed Tomography)"
1431
+ },
1432
+ {
1433
+ "dataset": "Covid CT",
1434
+ "question_id": "Covid CT_0110",
1435
+ "question_type": "Disease Diagnosis",
1436
+ "question": "What specific abnormality is present in this image?",
1437
+ "gt_answer": "COVID-19 infection.",
1438
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.01.20029769-p21-73_1%0.png",
1439
+ "option_A": "COVID-19 infection.",
1440
+ "option_B": "Influenza",
1441
+ "option_C": "Bronchitis",
1442
+ "option_D": "Pulmonary embolism",
1443
+ "modality_type": "CT(Computed Tomography)"
1444
+ },
1445
+ {
1446
+ "dataset": "Covid CT",
1447
+ "question_id": "Covid CT_0111",
1448
+ "question_type": "Disease Diagnosis",
1449
+ "question": "What specific abnormality is present in this image?",
1450
+ "gt_answer": "COVID-19 infection.",
1451
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.26.20041426-p11-130.png",
1452
+ "option_A": "Bronchitis",
1453
+ "option_B": "Asthma exacerbation",
1454
+ "option_C": "Sinusitis",
1455
+ "option_D": "COVID-19 infection.",
1456
+ "modality_type": "CT(Computed Tomography)"
1457
+ },
1458
+ {
1459
+ "dataset": "Covid CT",
1460
+ "question_id": "Covid CT_0112",
1461
+ "question_type": "Disease Diagnosis",
1462
+ "question": "What specific abnormality is present in this image?",
1463
+ "gt_answer": "COVID-19 infection.",
1464
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20027763-p15-53%1.png",
1465
+ "option_A": "Asthma exacerbation",
1466
+ "option_B": "Pneumonia",
1467
+ "option_C": "Sinusitis",
1468
+ "option_D": "COVID-19 infection.",
1469
+ "modality_type": "CT(Computed Tomography)"
1470
+ },
1471
+ {
1472
+ "dataset": "Covid CT",
1473
+ "question_id": "Covid CT_0113",
1474
+ "question_type": "Disease Diagnosis",
1475
+ "question": "What is the specific condition depicted in this image?",
1476
+ "gt_answer": "COVID-19 infection.",
1477
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p24-111%9.png",
1478
+ "option_A": "Common cold",
1479
+ "option_B": "Asthma exacerbation",
1480
+ "option_C": "COVID-19 infection.",
1481
+ "option_D": "Bronchitis",
1482
+ "modality_type": "CT(Computed Tomography)"
1483
+ },
1484
+ {
1485
+ "dataset": "Covid CT",
1486
+ "question_id": "Covid CT_0114",
1487
+ "question_type": "Disease Diagnosis",
1488
+ "question": "What is the diagnosis of the abnormality depicted in this image?",
1489
+ "gt_answer": "COVID-19 infection.",
1490
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.25.20021568-p23-108%6.png",
1491
+ "option_A": "Pneumonia",
1492
+ "option_B": "Lung cancer",
1493
+ "option_C": "COVID-19 infection.",
1494
+ "option_D": "Bronchitis",
1495
+ "modality_type": "CT(Computed Tomography)"
1496
+ },
1497
+ {
1498
+ "dataset": "Covid CT",
1499
+ "question_id": "Covid CT_0115",
1500
+ "question_type": "Disease Diagnosis",
1501
+ "question": "What is the specific condition depicted in this image?",
1502
+ "gt_answer": "COVID-19 infection.",
1503
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.21.20040691-p18-67-2.png",
1504
+ "option_A": "Asthma exacerbation",
1505
+ "option_B": "COVID-19 infection.",
1506
+ "option_C": "Common cold",
1507
+ "option_D": "Influenza",
1508
+ "modality_type": "CT(Computed Tomography)"
1509
+ },
1510
+ {
1511
+ "dataset": "Covid CT",
1512
+ "question_id": "Covid CT_0116",
1513
+ "question_type": "Disease Diagnosis",
1514
+ "question": "What specific abnormality is present in this image?",
1515
+ "gt_answer": "COVID-19 infection.",
1516
+ "image_path": "Images/Covid CT/CT_COVID/PIIS0140673620302117_2.png",
1517
+ "option_A": "COVID-19 infection.",
1518
+ "option_B": "Asthma exacerbation",
1519
+ "option_C": "Pulmonary embolism",
1520
+ "option_D": "Sinusitis",
1521
+ "modality_type": "CT(Computed Tomography)"
1522
+ },
1523
+ {
1524
+ "dataset": "Covid CT",
1525
+ "question_id": "Covid CT_0117",
1526
+ "question_type": "Disease Diagnosis",
1527
+ "question": "What is the particular anomaly visible in this image?",
1528
+ "gt_answer": "COVID-19 infection.",
1529
+ "image_path": "Images/Covid CT/CT_COVID/2020.01.24.919183-p27-132.png",
1530
+ "option_A": "Sinusitis",
1531
+ "option_B": "Pulmonary embolism",
1532
+ "option_C": "COVID-19 infection.",
1533
+ "option_D": "Asthma exacerbation",
1534
+ "modality_type": "CT(Computed Tomography)"
1535
+ },
1536
+ {
1537
+ "dataset": "Covid CT",
1538
+ "question_id": "Covid CT_0118",
1539
+ "question_type": "Disease Diagnosis",
1540
+ "question": "What medical condition is indicated by the anomaly visible in this image?",
1541
+ "gt_answer": "COVID-19 infection.",
1542
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.16.20036145-p19-128-2.png",
1543
+ "option_A": "Influenza",
1544
+ "option_B": "Pulmonary embolism",
1545
+ "option_C": "COVID-19 infection.",
1546
+ "option_D": "Asthma exacerbation",
1547
+ "modality_type": "CT(Computed Tomography)"
1548
+ },
1549
+ {
1550
+ "dataset": "Covid CT",
1551
+ "question_id": "Covid CT_0119",
1552
+ "question_type": "Disease Diagnosis",
1553
+ "question": "What specific abnormality is present in this image?",
1554
+ "gt_answer": "COVID-19 infection.",
1555
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.21.20040691-p18-67-3.png",
1556
+ "option_A": "Pneumonia",
1557
+ "option_B": "Sinusitis",
1558
+ "option_C": "COVID-19 infection.",
1559
+ "option_D": "Common cold",
1560
+ "modality_type": "CT(Computed Tomography)"
1561
+ },
1562
+ {
1563
+ "dataset": "Covid CT",
1564
+ "question_id": "Covid CT_0120",
1565
+ "question_type": "Disease Diagnosis",
1566
+ "question": "What is the particular anomaly depicted in this image?",
1567
+ "gt_answer": "COVID-19 infection.",
1568
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.13.20022673-p13-77%0.png",
1569
+ "option_A": "COVID-19 infection.",
1570
+ "option_B": "Pneumonia",
1571
+ "option_C": "Common cold",
1572
+ "option_D": "Tuberculosis",
1573
+ "modality_type": "CT(Computed Tomography)"
1574
+ },
1575
+ {
1576
+ "dataset": "Covid CT",
1577
+ "question_id": "Covid CT_0121",
1578
+ "question_type": "Disease Diagnosis",
1579
+ "question": "What is the specific condition being depicted in this image?",
1580
+ "gt_answer": "COVID-19 infection.",
1581
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.10.20021584-p6-52%11.png",
1582
+ "option_A": "SARS (Severe Acute Respiratory Syndrome)",
1583
+ "option_B": "Tuberculosis",
1584
+ "option_C": "COVID-19 infection.",
1585
+ "option_D": "Pulmonary embolism",
1586
+ "modality_type": "CT(Computed Tomography)"
1587
+ },
1588
+ {
1589
+ "dataset": "Covid CT",
1590
+ "question_id": "Covid CT_0122",
1591
+ "question_type": "Disease Diagnosis",
1592
+ "question": "What is the specific condition that is depicted in this image?",
1593
+ "gt_answer": "COVID-19 infection.",
1594
+ "image_path": "Images/Covid CT/CT_COVID/2020.02.10.20021584-p6-52%6.png",
1595
+ "option_A": "Asthma exacerbation",
1596
+ "option_B": "Lung cancer",
1597
+ "option_C": "Common cold",
1598
+ "option_D": "COVID-19 infection.",
1599
+ "modality_type": "CT(Computed Tomography)"
1600
+ },
1601
+ {
1602
+ "dataset": "Covid CT",
1603
+ "question_id": "Covid CT_0123",
1604
+ "question_type": "Disease Diagnosis",
1605
+ "question": "What diagnosis does this picture indicate?",
1606
+ "gt_answer": "COVID-19 infection.",
1607
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.22.20040782-p24-1533-4.png",
1608
+ "option_A": "COVID-19 infection.",
1609
+ "option_B": "Common cold",
1610
+ "option_C": "Lung cancer",
1611
+ "option_D": "Pneumonia",
1612
+ "modality_type": "CT(Computed Tomography)"
1613
+ },
1614
+ {
1615
+ "dataset": "Covid CT",
1616
+ "question_id": "Covid CT_0124",
1617
+ "question_type": "Disease Diagnosis",
1618
+ "question": "What specific abnormality is present in this image?",
1619
+ "gt_answer": "COVID-19 infection.",
1620
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.12.20027185-p8-216.png",
1621
+ "option_A": "SARS (Severe Acute Respiratory Syndrome)",
1622
+ "option_B": "Pulmonary embolism",
1623
+ "option_C": "Lung cancer",
1624
+ "option_D": "COVID-19 infection.",
1625
+ "modality_type": "CT(Computed Tomography)"
1626
+ },
1627
+ {
1628
+ "dataset": "Covid CT",
1629
+ "question_id": "Covid CT_0125",
1630
+ "question_type": "Disease Diagnosis",
1631
+ "question": "What is the particular anomaly detected in this image?",
1632
+ "gt_answer": "COVID-19 infection.",
1633
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.01.20029769-p21-73_2%2.png",
1634
+ "option_A": "COVID-19 infection.",
1635
+ "option_B": "Asthma exacerbation",
1636
+ "option_C": "Lung cancer",
1637
+ "option_D": "Common cold",
1638
+ "modality_type": "CT(Computed Tomography)"
1639
+ },
1640
+ {
1641
+ "dataset": "Covid CT",
1642
+ "question_id": "Covid CT_0126",
1643
+ "question_type": "Disease Diagnosis",
1644
+ "question": "What specific abnormality is present in this image?",
1645
+ "gt_answer": "COVID-19 infection.",
1646
+ "image_path": "Images/Covid CT/CT_COVID/2020.03.25.20037721-p27-172.png",
1647
+ "option_A": "Pneumonia",
1648
+ "option_B": "Lung cancer",
1649
+ "option_C": "COVID-19 infection.",
1650
+ "option_D": "SARS (Severe Acute Respiratory Syndrome)",
1651
+ "modality_type": "CT(Computed Tomography)"
1652
+ },
1653
+ {
1654
+ "dataset": "Covid CT",
1655
+ "question_id": "Covid CT_0127",
1656
+ "question_type": "Disease Diagnosis",
1657
+ "question": "What is the specific condition depicted in this image?",
1658
+ "gt_answer": "COVID-19 infection.",
1659
+ "image_path": "Images/Covid CT/CT_COVID/Recurrence-of-positive-SARS-CoV-2-RNA-in-C_2020_International-Journal-of-Inf-p1-21%0.png",
1660
+ "option_A": "Influenza",
1661
+ "option_B": "COVID-19 infection.",
1662
+ "option_C": "Pulmonary embolism",
1663
+ "option_D": "SARS (Severe Acute Respiratory Syndrome)",
1664
+ "modality_type": "CT(Computed Tomography)"
1665
+ },
1666
+ {
1667
+ "dataset": "Covid CT",
1668
+ "question_id": "Covid CT_0128",
1669
+ "question_type": "Disease Diagnosis",
1670
+ "question": "Is there any aberration present in this image?",
1671
+ "gt_answer": "No.",
1672
+ "image_path": "Images/Covid CT/CT_NonCOVID/1164.png",
1673
+ "option_A": "Yes",
1674
+ "option_B": "No.",
1675
+ "modality_type": "CT(Computed Tomography)"
1676
+ },
1677
+ {
1678
+ "dataset": "Covid CT",
1679
+ "question_id": "Covid CT_0129",
1680
+ "question_type": "Disease Diagnosis",
1681
+ "question": "Is there any abnormalities present in the image?",
1682
+ "gt_answer": "No.",
1683
+ "image_path": "Images/Covid CT/CT_NonCOVID/52%0.jpg",
1684
+ "option_A": "No.",
1685
+ "option_B": "Yes",
1686
+ "modality_type": "CT(Computed Tomography)"
1687
+ },
1688
+ {
1689
+ "dataset": "Covid CT",
1690
+ "question_id": "Covid CT_0130",
1691
+ "question_type": "Disease Diagnosis",
1692
+ "question": "Is there any irregularity present in this image?",
1693
+ "gt_answer": "No.",
1694
+ "image_path": "Images/Covid CT/CT_NonCOVID/383.png",
1695
+ "option_A": "No.",
1696
+ "option_B": "Yes",
1697
+ "modality_type": "CT(Computed Tomography)"
1698
+ },
1699
+ {
1700
+ "dataset": "Covid CT",
1701
+ "question_id": "Covid CT_0131",
1702
+ "question_type": "Disease Diagnosis",
1703
+ "question": "Is this image free of anomalies?",
1704
+ "gt_answer": "No.",
1705
+ "image_path": "Images/Covid CT/CT_NonCOVID/18%0.jpg",
1706
+ "option_A": "No.",
1707
+ "option_B": "Yes",
1708
+ "modality_type": "CT(Computed Tomography)"
1709
+ },
1710
+ {
1711
+ "dataset": "Covid CT",
1712
+ "question_id": "Covid CT_0132",
1713
+ "question_type": "Disease Diagnosis",
1714
+ "question": "Is there anything abnormal detected in this image?",
1715
+ "gt_answer": "No.",
1716
+ "image_path": "Images/Covid CT/CT_NonCOVID/71%1.jpg",
1717
+ "option_A": "No.",
1718
+ "option_B": "Yes",
1719
+ "modality_type": "CT(Computed Tomography)"
1720
+ },
1721
+ {
1722
+ "dataset": "Covid CT",
1723
+ "question_id": "Covid CT_0133",
1724
+ "question_type": "Disease Diagnosis",
1725
+ "question": "Is there any evidence of abnormalities in this image?",
1726
+ "gt_answer": "No.",
1727
+ "image_path": "Images/Covid CT/CT_NonCOVID/21%1.jpg",
1728
+ "option_A": "Yes",
1729
+ "option_B": "No.",
1730
+ "modality_type": "CT(Computed Tomography)"
1731
+ },
1732
+ {
1733
+ "dataset": "Covid CT",
1734
+ "question_id": "Covid CT_0134",
1735
+ "question_type": "Disease Diagnosis",
1736
+ "question": "Is there any abnormalities present in the image?",
1737
+ "gt_answer": "No.",
1738
+ "image_path": "Images/Covid CT/CT_NonCOVID/26%0.jpg",
1739
+ "option_A": "Yes",
1740
+ "option_B": "No.",
1741
+ "modality_type": "CT(Computed Tomography)"
1742
+ },
1743
+ {
1744
+ "dataset": "Covid CT",
1745
+ "question_id": "Covid CT_0135",
1746
+ "question_type": "Disease Diagnosis",
1747
+ "question": "Is there any sign of abnormalities in this image?",
1748
+ "gt_answer": "No.",
1749
+ "image_path": "Images/Covid CT/CT_NonCOVID/673.png",
1750
+ "option_A": "Yes",
1751
+ "option_B": "No.",
1752
+ "modality_type": "CT(Computed Tomography)"
1753
+ },
1754
+ {
1755
+ "dataset": "Covid CT",
1756
+ "question_id": "Covid CT_0136",
1757
+ "question_type": "Disease Diagnosis",
1758
+ "question": "Is there anything abnormal in this image?",
1759
+ "gt_answer": "No.",
1760
+ "image_path": "Images/Covid CT/CT_NonCOVID/3.jpg",
1761
+ "option_A": "Yes",
1762
+ "option_B": "No.",
1763
+ "modality_type": "CT(Computed Tomography)"
1764
+ },
1765
+ {
1766
+ "dataset": "Covid CT",
1767
+ "question_id": "Covid CT_0137",
1768
+ "question_type": "Disease Diagnosis",
1769
+ "question": "Is this image free from any anomalies?",
1770
+ "gt_answer": "No.",
1771
+ "image_path": "Images/Covid CT/CT_NonCOVID/1065.png",
1772
+ "option_A": "Yes",
1773
+ "option_B": "No.",
1774
+ "modality_type": "CT(Computed Tomography)"
1775
+ },
1776
+ {
1777
+ "dataset": "Covid CT",
1778
+ "question_id": "Covid CT_0138",
1779
+ "question_type": "Disease Diagnosis",
1780
+ "question": "Is this image free from any anomalies?",
1781
+ "gt_answer": "No.",
1782
+ "image_path": "Images/Covid CT/CT_NonCOVID/30%1.jpg",
1783
+ "option_A": "Yes",
1784
+ "option_B": "No.",
1785
+ "modality_type": "CT(Computed Tomography)"
1786
+ },
1787
+ {
1788
+ "dataset": "Covid CT",
1789
+ "question_id": "Covid CT_0139",
1790
+ "question_type": "Disease Diagnosis",
1791
+ "question": "Is there any abnormalities present in this image?",
1792
+ "gt_answer": "No.",
1793
+ "image_path": "Images/Covid CT/CT_NonCOVID/166.png",
1794
+ "option_A": "Yes",
1795
+ "option_B": "No.",
1796
+ "modality_type": "CT(Computed Tomography)"
1797
+ },
1798
+ {
1799
+ "dataset": "Covid CT",
1800
+ "question_id": "Covid CT_0140",
1801
+ "question_type": "Disease Diagnosis",
1802
+ "question": "Is there any abnormalities in this image?",
1803
+ "gt_answer": "No.",
1804
+ "image_path": "Images/Covid CT/CT_NonCOVID/26.png",
1805
+ "option_A": "No.",
1806
+ "option_B": "Yes",
1807
+ "modality_type": "CT(Computed Tomography)"
1808
+ },
1809
+ {
1810
+ "dataset": "Covid CT",
1811
+ "question_id": "Covid CT_0141",
1812
+ "question_type": "Disease Diagnosis",
1813
+ "question": "Is there any abnormality in this image?",
1814
+ "gt_answer": "No.",
1815
+ "image_path": "Images/Covid CT/CT_NonCOVID/48.jpg",
1816
+ "option_A": "Yes",
1817
+ "option_B": "No.",
1818
+ "modality_type": "CT(Computed Tomography)"
1819
+ },
1820
+ {
1821
+ "dataset": "Covid CT",
1822
+ "question_id": "Covid CT_0142",
1823
+ "question_type": "Disease Diagnosis",
1824
+ "question": "Is there anything abnormal in this image?",
1825
+ "gt_answer": "No.",
1826
+ "image_path": "Images/Covid CT/CT_NonCOVID/2039.png",
1827
+ "option_A": "No.",
1828
+ "option_B": "Yes",
1829
+ "modality_type": "CT(Computed Tomography)"
1830
+ },
1831
+ {
1832
+ "dataset": "Covid CT",
1833
+ "question_id": "Covid CT_0143",
1834
+ "question_type": "Disease Diagnosis",
1835
+ "question": "Is there any anomalies present in this image?",
1836
+ "gt_answer": "No.",
1837
+ "image_path": "Images/Covid CT/CT_NonCOVID/51%1.jpg",
1838
+ "option_A": "No.",
1839
+ "option_B": "Yes",
1840
+ "modality_type": "CT(Computed Tomography)"
1841
+ },
1842
+ {
1843
+ "dataset": "Covid CT",
1844
+ "question_id": "Covid CT_0144",
1845
+ "question_type": "Disease Diagnosis",
1846
+ "question": "Is there any evidence of anomalies in this image?",
1847
+ "gt_answer": "No.",
1848
+ "image_path": "Images/Covid CT/CT_NonCOVID/65%2.jpg",
1849
+ "option_A": "No.",
1850
+ "option_B": "Yes",
1851
+ "modality_type": "CT(Computed Tomography)"
1852
+ },
1853
+ {
1854
+ "dataset": "Covid CT",
1855
+ "question_id": "Covid CT_0145",
1856
+ "question_type": "Disease Diagnosis",
1857
+ "question": "Is there any abnormalities in this image?",
1858
+ "gt_answer": "No.",
1859
+ "image_path": "Images/Covid CT/CT_NonCOVID/25%3.jpg",
1860
+ "option_A": "No.",
1861
+ "option_B": "Yes",
1862
+ "modality_type": "CT(Computed Tomography)"
1863
+ },
1864
+ {
1865
+ "dataset": "Covid CT",
1866
+ "question_id": "Covid CT_0146",
1867
+ "question_type": "Disease Diagnosis",
1868
+ "question": "Is there any abnormality in this image?",
1869
+ "gt_answer": "No.",
1870
+ "image_path": "Images/Covid CT/CT_NonCOVID/19%0.jpg",
1871
+ "option_A": "Yes",
1872
+ "option_B": "No.",
1873
+ "modality_type": "CT(Computed Tomography)"
1874
+ },
1875
+ {
1876
+ "dataset": "Covid CT",
1877
+ "question_id": "Covid CT_0147",
1878
+ "question_type": "Disease Diagnosis",
1879
+ "question": "Is there any evidence of abnormalities in this image?",
1880
+ "gt_answer": "No.",
1881
+ "image_path": "Images/Covid CT/CT_NonCOVID/22%0.jpg",
1882
+ "option_A": "Yes",
1883
+ "option_B": "No.",
1884
+ "modality_type": "CT(Computed Tomography)"
1885
+ },
1886
+ {
1887
+ "dataset": "Covid CT",
1888
+ "question_id": "Covid CT_0148",
1889
+ "question_type": "Disease Diagnosis",
1890
+ "question": "Is there any abnormality detected in this image?",
1891
+ "gt_answer": "No.",
1892
+ "image_path": "Images/Covid CT/CT_NonCOVID/1919.png",
1893
+ "option_A": "No.",
1894
+ "option_B": "Yes",
1895
+ "modality_type": "CT(Computed Tomography)"
1896
+ },
1897
+ {
1898
+ "dataset": "Covid CT",
1899
+ "question_id": "Covid CT_0149",
1900
+ "question_type": "Disease Diagnosis",
1901
+ "question": "Is there any abnormality observed in this image?",
1902
+ "gt_answer": "No.",
1903
+ "image_path": "Images/Covid CT/CT_NonCOVID/1309.png",
1904
+ "option_A": "No.",
1905
+ "option_B": "Yes",
1906
+ "modality_type": "CT(Computed Tomography)"
1907
+ },
1908
+ {
1909
+ "dataset": "Covid CT",
1910
+ "question_id": "Covid CT_0150",
1911
+ "question_type": "Disease Diagnosis",
1912
+ "question": "Is there any abnormality present in this image?",
1913
+ "gt_answer": "No.",
1914
+ "image_path": "Images/Covid CT/CT_NonCOVID/52%1.jpg",
1915
+ "option_A": "Yes",
1916
+ "option_B": "No.",
1917
+ "modality_type": "CT(Computed Tomography)"
1918
+ },
1919
+ {
1920
+ "dataset": "Covid CT",
1921
+ "question_id": "Covid CT_0151",
1922
+ "question_type": "Disease Diagnosis",
1923
+ "question": "Is there any abnormality detected in this image?",
1924
+ "gt_answer": "No.",
1925
+ "image_path": "Images/Covid CT/CT_NonCOVID/1499.png",
1926
+ "option_A": "Yes",
1927
+ "option_B": "No.",
1928
+ "modality_type": "CT(Computed Tomography)"
1929
+ },
1930
+ {
1931
+ "dataset": "Covid CT",
1932
+ "question_id": "Covid CT_0152",
1933
+ "question_type": "Disease Diagnosis",
1934
+ "question": "Is there anything abnormal shown in this image?",
1935
+ "gt_answer": "No.",
1936
+ "image_path": "Images/Covid CT/CT_NonCOVID/381.png",
1937
+ "option_A": "No.",
1938
+ "option_B": "Yes",
1939
+ "modality_type": "CT(Computed Tomography)"
1940
+ },
1941
+ {
1942
+ "dataset": "Covid CT",
1943
+ "question_id": "Covid CT_0153",
1944
+ "question_type": "Disease Diagnosis",
1945
+ "question": "Is this image free from any anomalies?",
1946
+ "gt_answer": "No.",
1947
+ "image_path": "Images/Covid CT/CT_NonCOVID/51%2.jpg",
1948
+ "option_A": "Yes",
1949
+ "option_B": "No.",
1950
+ "modality_type": "CT(Computed Tomography)"
1951
+ },
1952
+ {
1953
+ "dataset": "Covid CT",
1954
+ "question_id": "Covid CT_0154",
1955
+ "question_type": "Disease Diagnosis",
1956
+ "question": "Are there any abnormalities present in this image?",
1957
+ "gt_answer": "No.",
1958
+ "image_path": "Images/Covid CT/CT_NonCOVID/83%3.jpg",
1959
+ "option_A": "No.",
1960
+ "option_B": "Yes",
1961
+ "modality_type": "CT(Computed Tomography)"
1962
+ },
1963
+ {
1964
+ "dataset": "Covid CT",
1965
+ "question_id": "Covid CT_0155",
1966
+ "question_type": "Disease Diagnosis",
1967
+ "question": "Is there any form of abnormality present in this image?",
1968
+ "gt_answer": "No.",
1969
+ "image_path": "Images/Covid CT/CT_NonCOVID/83%0.jpg",
1970
+ "option_A": "Yes",
1971
+ "option_B": "No.",
1972
+ "modality_type": "CT(Computed Tomography)"
1973
+ },
1974
+ {
1975
+ "dataset": "Covid CT",
1976
+ "question_id": "Covid CT_0156",
1977
+ "question_type": "Disease Diagnosis",
1978
+ "question": "Is there any abnormality in this image?",
1979
+ "gt_answer": "No.",
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+ "image_path": "Images/Covid CT/CT_NonCOVID/29%1.jpg",
1981
+ "option_A": "No.",
1982
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1983
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1984
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1985
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1986
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1987
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1988
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1989
+ "question": "Is there any abnormality observed in this image?",
1990
+ "gt_answer": "No.",
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+ "image_path": "Images/Covid CT/CT_NonCOVID/586.png",
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+ "option_A": "Yes",
1993
+ "option_B": "No.",
1994
+ "modality_type": "CT(Computed Tomography)"
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+ },
1996
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1997
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1998
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1999
+ "question_type": "Disease Diagnosis",
2000
+ "question": "Is there anything abnormal seen in this image?",
2001
+ "gt_answer": "No.",
2002
+ "image_path": "Images/Covid CT/CT_NonCOVID/45.jpg",
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+ "option_A": "No.",
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+ "option_B": "Yes",
2005
+ "modality_type": "CT(Computed Tomography)"
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+ },
2007
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2008
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2009
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+ "question_type": "Disease Diagnosis",
2011
+ "question": "Is there anything abnormal found in this image?",
2012
+ "gt_answer": "No.",
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+ "image_path": "Images/Covid CT/CT_NonCOVID/7.jpg",
2014
+ "option_A": "Yes",
2015
+ "option_B": "No.",
2016
+ "modality_type": "CT(Computed Tomography)"
2017
+ },
2018
+ {
2019
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2020
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+ "question_type": "Disease Diagnosis",
2022
+ "question": "Is there any abnormalities present in this image?",
2023
+ "gt_answer": "No.",
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+ "image_path": "Images/Covid CT/CT_NonCOVID/84%1.jpg",
2025
+ "option_A": "Yes",
2026
+ "option_B": "No.",
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+ "modality_type": "CT(Computed Tomography)"
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2029
+ {
2030
+ "dataset": "Covid CT",
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+ "question_type": "Disease Diagnosis",
2033
+ "question": "Is there anything abnormal depicted in this image?",
2034
+ "gt_answer": "No.",
2035
+ "image_path": "Images/Covid CT/CT_NonCOVID/1277.png",
2036
+ "option_A": "Yes",
2037
+ "option_B": "No.",
2038
+ "modality_type": "CT(Computed Tomography)"
2039
+ },
2040
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2041
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+ "gt_answer": "No.",
2046
+ "image_path": "Images/Covid CT/CT_NonCOVID/31.jpg",
2047
+ "option_A": "No.",
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+ "option_B": "Yes",
2049
+ "modality_type": "CT(Computed Tomography)"
2050
+ },
2051
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2052
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2055
+ "question": "Is there anything abnormal depicted in this image?",
2056
+ "gt_answer": "No.",
2057
+ "image_path": "Images/Covid CT/CT_NonCOVID/1061.png",
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+ "option_A": "Yes",
2059
+ "option_B": "No.",
2060
+ "modality_type": "CT(Computed Tomography)"
2061
+ },
2062
+ {
2063
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2065
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+ "question": "Is there any abnormality present in this image?",
2067
+ "gt_answer": "No.",
2068
+ "image_path": "Images/Covid CT/CT_NonCOVID/21%0.jpg",
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+ "option_A": "No.",
2070
+ "option_B": "Yes",
2071
+ "modality_type": "CT(Computed Tomography)"
2072
+ },
2073
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+ "image_path": "Images/Covid CT/CT_NonCOVID/592.png",
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+ "gt_answer": "No.",
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+ "image_path": "Images/Covid CT/CT_NonCOVID/1297.png",
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+ "modality_type": "CT(Computed Tomography)"
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+ "gt_answer": "No.",
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+ "question": "Is there any form of abnormality present in this image?",
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+ "gt_answer": "No.",
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+ "image_path": "Images/Covid CT/CT_NonCOVID/1923.png",
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+ "option_A": "No.",
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2173
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+ "modality_type": "CT(Computed Tomography)"
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+ }
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Open-access/Covid-19 tianchi.json ADDED
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+ "gt_answer": "Chest",
385
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0102.jpeg",
386
+ "option_A": "Hand",
387
+ "option_B": "Pelvis",
388
+ "option_C": "Chest",
389
+ "option_D": "Abdomen",
390
+ "modality_type": "X-Ray"
391
+ },
392
+ {
393
+ "dataset": "Covid-19 tianchi",
394
+ "question_id": "Covid-19 tianchi_0030",
395
+ "question_type": "Disease Diagnosis",
396
+ "question": "What specific abnormality is present in this image?",
397
+ "gt_answer": "COVID-19 pneumonia",
398
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0113.jpg",
399
+ "option_A": "Lung cancer",
400
+ "option_B": "Tuberculosis",
401
+ "option_C": "COVID-19 pneumonia",
402
+ "option_D": "SARS (Severe Acute Respiratory Syndrome)",
403
+ "modality_type": "X-Ray"
404
+ },
405
+ {
406
+ "dataset": "Covid-19 tianchi",
407
+ "question_id": "Covid-19 tianchi_0031",
408
+ "question_type": "Disease Diagnosis",
409
+ "question": "What is the specific condition depicted in this image?",
410
+ "gt_answer": "COVID-19 pneumonia",
411
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0106.jpeg",
412
+ "option_A": "Silicosis",
413
+ "option_B": "Pulmonary embolism",
414
+ "option_C": "COVID-19 pneumonia",
415
+ "option_D": "Lung cancer",
416
+ "modality_type": "X-Ray"
417
+ },
418
+ {
419
+ "dataset": "Covid-19 tianchi",
420
+ "question_id": "Covid-19 tianchi_0032",
421
+ "question_type": "Disease Diagnosis",
422
+ "question": "What is the specific diagnosis for the abnormality depicted in this image?",
423
+ "gt_answer": "COVID-19 pneumonia",
424
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0120.jpg",
425
+ "option_A": "Lung cancer",
426
+ "option_B": "COVID-19 pneumonia",
427
+ "option_C": "Chronic obstructive pulmonary disease (COPD)",
428
+ "option_D": "Bronchitis",
429
+ "modality_type": "X-Ray"
430
+ },
431
+ {
432
+ "dataset": "Covid-19 tianchi",
433
+ "question_id": "Covid-19 tianchi_0033",
434
+ "question_type": "Disease Diagnosis",
435
+ "question": "What is the identified abnormality in this image?",
436
+ "gt_answer": "COVID-19 pneumonia",
437
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/COVID-00037.jpg",
438
+ "option_A": "Silicosis",
439
+ "option_B": "Tuberculosis",
440
+ "option_C": "COVID-19 pneumonia",
441
+ "option_D": "Pneumothorax",
442
+ "modality_type": "X-Ray"
443
+ },
444
+ {
445
+ "dataset": "Covid-19 tianchi",
446
+ "question_id": "Covid-19 tianchi_0034",
447
+ "question_type": "Disease Diagnosis",
448
+ "question": "What is the identified condition in this image?",
449
+ "gt_answer": "COVID-19 pneumonia",
450
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0118.jpeg",
451
+ "option_A": "Tuberculosis",
452
+ "option_B": "Bronchitis",
453
+ "option_C": "COVID-19 pneumonia",
454
+ "option_D": "Influenza pneumonia",
455
+ "modality_type": "X-Ray"
456
+ },
457
+ {
458
+ "dataset": "Covid-19 tianchi",
459
+ "question_id": "Covid-19 tianchi_0035",
460
+ "question_type": "Disease Diagnosis",
461
+ "question": "What is the specific condition depicted in this image?",
462
+ "gt_answer": "COVID-19 pneumonia",
463
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/098.jpeg",
464
+ "option_A": "Tuberculosis",
465
+ "option_B": "Asthma exacerbation",
466
+ "option_C": "Chronic obstructive pulmonary disease (COPD)",
467
+ "option_D": "COVID-19 pneumonia",
468
+ "modality_type": "X-Ray"
469
+ },
470
+ {
471
+ "dataset": "Covid-19 tianchi",
472
+ "question_id": "Covid-19 tianchi_0036",
473
+ "question_type": "Disease Diagnosis",
474
+ "question": "What is the specific abnormality depicted in this image?",
475
+ "gt_answer": "COVID-19 pneumonia",
476
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/auntminnie-d-2020_01_28_23_51_6665_2020_01_28_Vietnam_coronavirus.jpeg",
477
+ "option_A": "Silicosis",
478
+ "option_B": "COVID-19 pneumonia",
479
+ "option_C": "Chronic obstructive pulmonary disease (COPD)",
480
+ "option_D": "Pneumothorax",
481
+ "modality_type": "X-Ray"
482
+ },
483
+ {
484
+ "dataset": "Covid-19 tianchi",
485
+ "question_id": "Covid-19 tianchi_0037",
486
+ "question_type": "Disease Diagnosis",
487
+ "question": "What specific abnormality is present in this image?",
488
+ "gt_answer": "COVID-19 pneumonia",
489
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/auntminnie-a-2020_01_28_23_51_6665_2020_01_28_Vietnam_coronavirus.jpeg",
490
+ "option_A": "COVID-19 pneumonia",
491
+ "option_B": "Bronchitis",
492
+ "option_C": "Silicosis",
493
+ "option_D": "SARS (Severe Acute Respiratory Syndrome)",
494
+ "modality_type": "X-Ray"
495
+ },
496
+ {
497
+ "dataset": "Covid-19 tianchi",
498
+ "question_id": "Covid-19 tianchi_0038",
499
+ "question_type": "Disease Diagnosis",
500
+ "question": "What specific abnormality is present in this image?",
501
+ "gt_answer": "COVID-19 pneumonia",
502
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0119.jpeg",
503
+ "option_A": "COVID-19 pneumonia",
504
+ "option_B": "Asthma exacerbation",
505
+ "option_C": "Influenza pneumonia",
506
+ "option_D": "Chronic obstructive pulmonary disease (COPD)",
507
+ "modality_type": "X-Ray"
508
+ },
509
+ {
510
+ "dataset": "Covid-19 tianchi",
511
+ "question_id": "Covid-19 tianchi_0039",
512
+ "question_type": "Disease Diagnosis",
513
+ "question": "What is the diagnosis of the abnormality depicted in this image?",
514
+ "gt_answer": "COVID-19 pneumonia",
515
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/094.png",
516
+ "option_A": "Chronic obstructive pulmonary disease (COPD)",
517
+ "option_B": "Asthma exacerbation",
518
+ "option_C": "COVID-19 pneumonia",
519
+ "option_D": "Silicosis",
520
+ "modality_type": "X-Ray"
521
+ },
522
+ {
523
+ "dataset": "Covid-19 tianchi",
524
+ "question_id": "Covid-19 tianchi_0040",
525
+ "question_type": "Disease Diagnosis",
526
+ "question": "What specific abnormality is present in this image?",
527
+ "gt_answer": "COVID-19 pneumonia",
528
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/COVID-00022.jpg",
529
+ "option_A": "Pneumothorax",
530
+ "option_B": "COVID-19 pneumonia",
531
+ "option_C": "Silicosis",
532
+ "option_D": "Tuberculosis",
533
+ "modality_type": "X-Ray"
534
+ },
535
+ {
536
+ "dataset": "Covid-19 tianchi",
537
+ "question_id": "Covid-19 tianchi_0041",
538
+ "question_type": "Disease Diagnosis",
539
+ "question": "What is the specific condition depicted in this image?",
540
+ "gt_answer": "COVID-19 pneumonia",
541
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0102.jpeg",
542
+ "option_A": "Pneumothorax",
543
+ "option_B": "Lung cancer",
544
+ "option_C": "Influenza pneumonia",
545
+ "option_D": "COVID-19 pneumonia",
546
+ "modality_type": "X-Ray"
547
+ },
548
+ {
549
+ "dataset": "Covid-19 tianchi",
550
+ "question_id": "Covid-19 tianchi_0042",
551
+ "question_type": "Disease Diagnosis",
552
+ "question": "What specific abnormality is present in this image?",
553
+ "gt_answer": "COVID-19 pneumonia",
554
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/COVID-00003b.jpg",
555
+ "option_A": "Influenza pneumonia",
556
+ "option_B": "Tuberculosis",
557
+ "option_C": "Silicosis",
558
+ "option_D": "COVID-19 pneumonia",
559
+ "modality_type": "X-Ray"
560
+ },
561
+ {
562
+ "dataset": "Covid-19 tianchi",
563
+ "question_id": "Covid-19 tianchi_0043",
564
+ "question_type": "Disease Diagnosis",
565
+ "question": "What specific abnormality is present in this image?",
566
+ "gt_answer": "COVID-19 pneumonia",
567
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0105.png",
568
+ "option_A": "Chronic obstructive pulmonary disease (COPD)",
569
+ "option_B": "Asthma exacerbation",
570
+ "option_C": "SARS (Severe Acute Respiratory Syndrome)",
571
+ "option_D": "COVID-19 pneumonia",
572
+ "modality_type": "X-Ray"
573
+ },
574
+ {
575
+ "dataset": "Covid-19 tianchi",
576
+ "question_id": "Covid-19 tianchi_0044",
577
+ "question_type": "Disease Diagnosis",
578
+ "question": "What is the diagnosis for the abnormality seen in this image?",
579
+ "gt_answer": "COVID-19 pneumonia",
580
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0115.jpeg",
581
+ "option_A": "COVID-19 pneumonia",
582
+ "option_B": "Chronic obstructive pulmonary disease (COPD)",
583
+ "option_C": "Tuberculosis",
584
+ "option_D": "Pneumothorax",
585
+ "modality_type": "X-Ray"
586
+ },
587
+ {
588
+ "dataset": "Covid-19 tianchi",
589
+ "question_id": "Covid-19 tianchi_0045",
590
+ "question_type": "Disease Diagnosis",
591
+ "question": "What is the specific condition depicted in this image?",
592
+ "gt_answer": "COVID-19 pneumonia",
593
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0111.jpg",
594
+ "option_A": "Pulmonary embolism",
595
+ "option_B": "COVID-19 pneumonia",
596
+ "option_C": "Bronchitis",
597
+ "option_D": "Pneumothorax",
598
+ "modality_type": "X-Ray"
599
+ },
600
+ {
601
+ "dataset": "Covid-19 tianchi",
602
+ "question_id": "Covid-19 tianchi_0046",
603
+ "question_type": "Disease Diagnosis",
604
+ "question": "What specific abnormality is present in this image?",
605
+ "gt_answer": "COVID-19 pneumonia",
606
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0108.jpeg",
607
+ "option_A": "COVID-19 pneumonia",
608
+ "option_B": "Influenza pneumonia",
609
+ "option_C": "Pulmonary embolism",
610
+ "option_D": "Lung cancer",
611
+ "modality_type": "X-Ray"
612
+ },
613
+ {
614
+ "dataset": "Covid-19 tianchi",
615
+ "question_id": "Covid-19 tianchi_0047",
616
+ "question_type": "Disease Diagnosis",
617
+ "question": "What specific abnormality is present in this image?",
618
+ "gt_answer": "COVID-19 pneumonia",
619
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/radiopaedia-2019-novel-coronavirus-infected-pneumonia.jpg",
620
+ "option_A": "Asthma exacerbation",
621
+ "option_B": "Tuberculosis",
622
+ "option_C": "SARS (Severe Acute Respiratory Syndrome)",
623
+ "option_D": "COVID-19 pneumonia",
624
+ "modality_type": "X-Ray"
625
+ },
626
+ {
627
+ "dataset": "Covid-19 tianchi",
628
+ "question_id": "Covid-19 tianchi_0048",
629
+ "question_type": "Disease Diagnosis",
630
+ "question": "What specific abnormality is present in this image?",
631
+ "gt_answer": "COVID-19 pneumonia",
632
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/auntminnie-b-2020_01_28_23_51_6665_2020_01_28_Vietnam_coronavirus.jpeg",
633
+ "option_A": "Silicosis",
634
+ "option_B": "COVID-19 pneumonia",
635
+ "option_C": "Chronic obstructive pulmonary disease (COPD)",
636
+ "option_D": "Pneumothorax",
637
+ "modality_type": "X-Ray"
638
+ },
639
+ {
640
+ "dataset": "Covid-19 tianchi",
641
+ "question_id": "Covid-19 tianchi_0049",
642
+ "question_type": "Disease Diagnosis",
643
+ "question": "What is the specific diagnosis for the abnormality seen in this image?",
644
+ "gt_answer": "COVID-19 pneumonia",
645
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/COVID-00012.jpg",
646
+ "option_A": "Tuberculosis",
647
+ "option_B": "Lung cancer",
648
+ "option_C": "COVID-19 pneumonia",
649
+ "option_D": "Pneumothorax",
650
+ "modality_type": "X-Ray"
651
+ },
652
+ {
653
+ "dataset": "Covid-19 tianchi",
654
+ "question_id": "Covid-19 tianchi_0050",
655
+ "question_type": "Disease Diagnosis",
656
+ "question": "What is the diagnosis for the abnormality observed in this image?",
657
+ "gt_answer": "COVID-19 pneumonia",
658
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/auntminnie-2020_01_31_20_24_2322_2020_01_31_x-ray_coronavirus_US.jpg",
659
+ "option_A": "Silicosis",
660
+ "option_B": "Bronchitis",
661
+ "option_C": "COVID-19 pneumonia",
662
+ "option_D": "Tuberculosis",
663
+ "modality_type": "X-Ray"
664
+ },
665
+ {
666
+ "dataset": "Covid-19 tianchi",
667
+ "question_id": "Covid-19 tianchi_0051",
668
+ "question_type": "Disease Diagnosis",
669
+ "question": "What is the diagnosis for the abnormality seen in this image?",
670
+ "gt_answer": "COVID-19 pneumonia",
671
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/COVID-00033.jpg",
672
+ "option_A": "Pneumothorax",
673
+ "option_B": "Influenza pneumonia",
674
+ "option_C": "Tuberculosis",
675
+ "option_D": "COVID-19 pneumonia",
676
+ "modality_type": "X-Ray"
677
+ },
678
+ {
679
+ "dataset": "Covid-19 tianchi",
680
+ "question_id": "Covid-19 tianchi_0052",
681
+ "question_type": "Disease Diagnosis",
682
+ "question": "What is the specific medical condition depicted in this image?",
683
+ "gt_answer": "COVID-19 pneumonia",
684
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0112.jpg",
685
+ "option_A": "Lung cancer",
686
+ "option_B": "COVID-19 pneumonia",
687
+ "option_C": "Pulmonary embolism",
688
+ "option_D": "Bronchitis",
689
+ "modality_type": "X-Ray"
690
+ },
691
+ {
692
+ "dataset": "Covid-19 tianchi",
693
+ "question_id": "Covid-19 tianchi_0053",
694
+ "question_type": "Disease Diagnosis",
695
+ "question": "What is the indicated abnormality in this image?",
696
+ "gt_answer": "COVID-19 pneumonia",
697
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/auntminnie-c-2020_01_28_23_51_6665_2020_01_28_Vietnam_coronavirus.jpeg",
698
+ "option_A": "COVID-19 pneumonia",
699
+ "option_B": "Pulmonary embolism",
700
+ "option_C": "Tuberculosis",
701
+ "option_D": "Chronic obstructive pulmonary disease (COPD)",
702
+ "modality_type": "X-Ray"
703
+ },
704
+ {
705
+ "dataset": "Covid-19 tianchi",
706
+ "question_id": "Covid-19 tianchi_0054",
707
+ "question_type": "Disease Diagnosis",
708
+ "question": "What is the specific disease identified in this image?",
709
+ "gt_answer": "COVID-19 pneumonia",
710
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/0100.jpeg",
711
+ "option_A": "Bronchitis",
712
+ "option_B": "Tuberculosis",
713
+ "option_C": "Lung cancer",
714
+ "option_D": "COVID-19 pneumonia",
715
+ "modality_type": "X-Ray"
716
+ },
717
+ {
718
+ "dataset": "Covid-19 tianchi",
719
+ "question_id": "Covid-19 tianchi_0055",
720
+ "question_type": "Disease Diagnosis",
721
+ "question": "What specific abnormality is present in this image?",
722
+ "gt_answer": "COVID-19 pneumonia",
723
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Covid/096.png",
724
+ "option_A": "COVID-19 pneumonia",
725
+ "option_B": "Bronchitis",
726
+ "option_C": "Influenza pneumonia",
727
+ "option_D": "Chronic obstructive pulmonary disease (COPD)",
728
+ "modality_type": "X-Ray"
729
+ },
730
+ {
731
+ "dataset": "Covid-19 tianchi",
732
+ "question_id": "Covid-19 tianchi_0056",
733
+ "question_type": "Disease Diagnosis",
734
+ "question": "Does the image reveal any abnormalities?",
735
+ "gt_answer": "No, the image appears normal",
736
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0106.jpeg",
737
+ "option_A": "The image appears normal, but further testing is needed to confirm.",
738
+ "option_B": "No, the image appears normal",
739
+ "option_C": "Yes, there are multiple abnormalities detected in this image.",
740
+ "option_D": "The image is too blurry to determine if there are any abnormalities.",
741
+ "modality_type": "X-Ray"
742
+ },
743
+ {
744
+ "dataset": "Covid-19 tianchi",
745
+ "question_id": "Covid-19 tianchi_0057",
746
+ "question_type": "Disease Diagnosis",
747
+ "question": "Is there any indication of abnormality in this image?",
748
+ "gt_answer": "No, the image appears normal",
749
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0111.jpeg",
750
+ "option_A": "No, the image is too low quality to accurately detect abnormalities.",
751
+ "option_B": "No, the image appears normal",
752
+ "option_C": "Yes, there are multiple abnormalities detected in this image.",
753
+ "option_D": "The image appears normal, but further testing is needed to confirm.",
754
+ "modality_type": "X-Ray"
755
+ },
756
+ {
757
+ "dataset": "Covid-19 tianchi",
758
+ "question_id": "Covid-19 tianchi_0058",
759
+ "question_type": "Disease Diagnosis",
760
+ "question": "Is the image showing any signs of abnormalities?",
761
+ "gt_answer": "No, the image appears normal",
762
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0118.jpeg",
763
+ "option_A": "No, the image appears normal",
764
+ "option_B": "The image is too blurry to determine if there are any abnormalities.",
765
+ "option_C": "The image appears normal, but further testing is needed to confirm.",
766
+ "option_D": "No, the image is too low quality to accurately detect abnormalities.",
767
+ "modality_type": "X-Ray"
768
+ },
769
+ {
770
+ "dataset": "Covid-19 tianchi",
771
+ "question_id": "Covid-19 tianchi_0059",
772
+ "question_type": "Disease Diagnosis",
773
+ "question": "Does the image show any signs of abnormality?",
774
+ "gt_answer": "No, the image appears normal",
775
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0117.jpeg",
776
+ "option_A": "No, the image is too low quality to accurately detect abnormalities.",
777
+ "option_B": "No, the image appears normal",
778
+ "option_C": "Yes, there are multiple abnormalities detected in this image.",
779
+ "option_D": "The image shows a slight abnormality, but it is likely insignificant.",
780
+ "modality_type": "X-Ray"
781
+ },
782
+ {
783
+ "dataset": "Covid-19 tianchi",
784
+ "question_id": "Covid-19 tianchi_0060",
785
+ "question_type": "Disease Diagnosis",
786
+ "question": "Is there any anomaly observed in this image?",
787
+ "gt_answer": "No, the image appears normal",
788
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0103.jpeg",
789
+ "option_A": "The image shows a slight abnormality, but it is likely insignificant.",
790
+ "option_B": "No, the image appears normal",
791
+ "option_C": "Yes, there are multiple abnormalities detected in this image.",
792
+ "option_D": "The image is too blurry to determine if there are any abnormalities.",
793
+ "modality_type": "X-Ray"
794
+ },
795
+ {
796
+ "dataset": "Covid-19 tianchi",
797
+ "question_id": "Covid-19 tianchi_0061",
798
+ "question_type": "Disease Diagnosis",
799
+ "question": "Does the image show any indication of abnormality?",
800
+ "gt_answer": "No, the image appears normal",
801
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0119.jpeg",
802
+ "option_A": "Yes, there are multiple abnormalities detected in this image.",
803
+ "option_B": "The image shows a slight abnormality, but it is likely insignificant.",
804
+ "option_C": "No, the image is too low quality to accurately detect abnormalities.",
805
+ "option_D": "No, the image appears normal",
806
+ "modality_type": "X-Ray"
807
+ },
808
+ {
809
+ "dataset": "Covid-19 tianchi",
810
+ "question_id": "Covid-19 tianchi_0062",
811
+ "question_type": "Disease Diagnosis",
812
+ "question": "Is there any indication of abnormality found in this image?",
813
+ "gt_answer": "No, the image appears normal",
814
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0114.jpeg",
815
+ "option_A": "No, the image appears normal",
816
+ "option_B": "The image appears normal, but further testing is needed to confirm.",
817
+ "option_C": "Yes, there are multiple abnormalities detected in this image.",
818
+ "option_D": "No, the image is too low quality to accurately detect abnormalities.",
819
+ "modality_type": "X-Ray"
820
+ },
821
+ {
822
+ "dataset": "Covid-19 tianchi",
823
+ "question_id": "Covid-19 tianchi_0063",
824
+ "question_type": "Disease Diagnosis",
825
+ "question": "Is the image showing any signs of abnormality?",
826
+ "gt_answer": "No, the image appears normal",
827
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0102.jpeg",
828
+ "option_A": "The image appears normal, but further testing is needed to confirm.",
829
+ "option_B": "The image shows a slight abnormality, but it is likely insignificant.",
830
+ "option_C": "The image is too blurry to determine if there are any abnormalities.",
831
+ "option_D": "No, the image appears normal",
832
+ "modality_type": "X-Ray"
833
+ },
834
+ {
835
+ "dataset": "Covid-19 tianchi",
836
+ "question_id": "Covid-19 tianchi_0064",
837
+ "question_type": "Disease Diagnosis",
838
+ "question": "Is there any indication of abnormality in this image?",
839
+ "gt_answer": "No, the image appears normal",
840
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0120.jpeg",
841
+ "option_A": "The image shows a slight abnormality, but it is likely insignificant.",
842
+ "option_B": "The image is too blurry to determine if there are any abnormalities.",
843
+ "option_C": "The image appears normal, but further testing is needed to confirm.",
844
+ "option_D": "No, the image appears normal",
845
+ "modality_type": "X-Ray"
846
+ },
847
+ {
848
+ "dataset": "Covid-19 tianchi",
849
+ "question_id": "Covid-19 tianchi_0065",
850
+ "question_type": "Disease Diagnosis",
851
+ "question": "Is there any indication of abnormality in this image?",
852
+ "gt_answer": "No, the image appears normal",
853
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0122.jpeg",
854
+ "option_A": "Yes, there are multiple abnormalities detected in this image.",
855
+ "option_B": "No, the image appears normal",
856
+ "option_C": "The image is too blurry to determine if there are any abnormalities.",
857
+ "option_D": "The image appears normal, but further testing is needed to confirm.",
858
+ "modality_type": "X-Ray"
859
+ },
860
+ {
861
+ "dataset": "Covid-19 tianchi",
862
+ "question_id": "Covid-19 tianchi_0066",
863
+ "question_type": "Disease Diagnosis",
864
+ "question": "Does the image show any abnormality?",
865
+ "gt_answer": "No, the image appears normal",
866
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0115.jpeg",
867
+ "option_A": "The image is too blurry to determine if there are any abnormalities.",
868
+ "option_B": "The image appears normal, but further testing is needed to confirm.",
869
+ "option_C": "No, the image appears normal",
870
+ "option_D": "No, the image is too low quality to accurately detect abnormalities.",
871
+ "modality_type": "X-Ray"
872
+ },
873
+ {
874
+ "dataset": "Covid-19 tianchi",
875
+ "question_id": "Covid-19 tianchi_0067",
876
+ "question_type": "Disease Diagnosis",
877
+ "question": "Is there any indication of abnormality in this image?",
878
+ "gt_answer": "No, the image appears normal",
879
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0108.jpeg",
880
+ "option_A": "The image shows a slight abnormality, but it is likely insignificant.",
881
+ "option_B": "No, the image appears normal",
882
+ "option_C": "No, the image is too low quality to accurately detect abnormalities.",
883
+ "option_D": "The image appears normal, but further testing is needed to confirm.",
884
+ "modality_type": "X-Ray"
885
+ },
886
+ {
887
+ "dataset": "Covid-19 tianchi",
888
+ "question_id": "Covid-19 tianchi_0068",
889
+ "question_type": "Disease Diagnosis",
890
+ "question": "Does the image show any abnormality?",
891
+ "gt_answer": "No, the image appears normal",
892
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0121.jpeg",
893
+ "option_A": "Yes, there are multiple abnormalities detected in this image.",
894
+ "option_B": "No, the image appears normal",
895
+ "option_C": "The image shows a slight abnormality, but it is likely insignificant.",
896
+ "option_D": "No, the image is too low quality to accurately detect abnormalities.",
897
+ "modality_type": "X-Ray"
898
+ },
899
+ {
900
+ "dataset": "Covid-19 tianchi",
901
+ "question_id": "Covid-19 tianchi_0069",
902
+ "question_type": "Disease Diagnosis",
903
+ "question": "Does the image show any signs of abnormality?",
904
+ "gt_answer": "No, the image appears normal",
905
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0107.jpeg",
906
+ "option_A": "Yes, there are multiple abnormalities detected in this image.",
907
+ "option_B": "No, the image appears normal",
908
+ "option_C": "The image appears normal, but further testing is needed to confirm.",
909
+ "option_D": "The image is too blurry to determine if there are any abnormalities.",
910
+ "modality_type": "X-Ray"
911
+ },
912
+ {
913
+ "dataset": "Covid-19 tianchi",
914
+ "question_id": "Covid-19 tianchi_0070",
915
+ "question_type": "Disease Diagnosis",
916
+ "question": "Is there any indication of abnormality in this image?",
917
+ "gt_answer": "No, the image appears normal",
918
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0109.jpeg",
919
+ "option_A": "No, the image is too low quality to accurately detect abnormalities.",
920
+ "option_B": "The image appears normal, but further testing is needed to confirm.",
921
+ "option_C": "No, the image appears normal",
922
+ "option_D": "Yes, there are multiple abnormalities detected in this image.",
923
+ "modality_type": "X-Ray"
924
+ },
925
+ {
926
+ "dataset": "Covid-19 tianchi",
927
+ "question_id": "Covid-19 tianchi_0071",
928
+ "question_type": "Disease Diagnosis",
929
+ "question": "Does the image show any signs of abnormality?",
930
+ "gt_answer": "No, the image appears normal",
931
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0116.jpeg",
932
+ "option_A": "The image shows a slight abnormality, but it is likely insignificant.",
933
+ "option_B": "No, the image is too low quality to accurately detect abnormalities.",
934
+ "option_C": "The image appears normal, but further testing is needed to confirm.",
935
+ "option_D": "No, the image appears normal",
936
+ "modality_type": "X-Ray"
937
+ },
938
+ {
939
+ "dataset": "Covid-19 tianchi",
940
+ "question_id": "Covid-19 tianchi_0072",
941
+ "question_type": "Disease Diagnosis",
942
+ "question": "Is there any indication of abnormality in this image?",
943
+ "gt_answer": "No, the image appears normal",
944
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0112.jpeg",
945
+ "option_A": "The image appears normal, but further testing is needed to confirm.",
946
+ "option_B": "No, the image appears normal",
947
+ "option_C": "No, the image is too low quality to accurately detect abnormalities.",
948
+ "option_D": "Yes, there are multiple abnormalities detected in this image.",
949
+ "modality_type": "X-Ray"
950
+ },
951
+ {
952
+ "dataset": "Covid-19 tianchi",
953
+ "question_id": "Covid-19 tianchi_0073",
954
+ "question_type": "Disease Diagnosis",
955
+ "question": "Is there any indication of abnormality found in this image?",
956
+ "gt_answer": "No, the image appears normal",
957
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0110.jpeg",
958
+ "option_A": "No, the image appears normal",
959
+ "option_B": "The image appears normal, but further testing is needed to confirm.",
960
+ "option_C": "No, the image is too low quality to accurately detect abnormalities.",
961
+ "option_D": "Yes, there are multiple abnormalities detected in this image.",
962
+ "modality_type": "X-Ray"
963
+ },
964
+ {
965
+ "dataset": "Covid-19 tianchi",
966
+ "question_id": "Covid-19 tianchi_0074",
967
+ "question_type": "Disease Diagnosis",
968
+ "question": "Does the image exhibit any abnormalities?",
969
+ "gt_answer": "No, the image appears normal",
970
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0105.jpeg",
971
+ "option_A": "Yes, there are multiple abnormalities detected in this image.",
972
+ "option_B": "The image appears normal, but further testing is needed to confirm.",
973
+ "option_C": "No, the image appears normal",
974
+ "option_D": "The image shows a slight abnormality, but it is likely insignificant.",
975
+ "modality_type": "X-Ray"
976
+ },
977
+ {
978
+ "dataset": "Covid-19 tianchi",
979
+ "question_id": "Covid-19 tianchi_0075",
980
+ "question_type": "Disease Diagnosis",
981
+ "question": "Does the image show any signs of abnormality?",
982
+ "gt_answer": "No, the image appears normal",
983
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Normal/0101.jpeg",
984
+ "option_A": "No, the image is too low quality to accurately detect abnormalities.",
985
+ "option_B": "The image appears normal, but further testing is needed to confirm.",
986
+ "option_C": "The image shows a slight abnormality, but it is likely insignificant.",
987
+ "option_D": "No, the image appears normal",
988
+ "modality_type": "X-Ray"
989
+ },
990
+ {
991
+ "dataset": "Covid-19 tianchi",
992
+ "question_id": "Covid-19 tianchi_0076",
993
+ "question_type": "Disease Diagnosis",
994
+ "question": "What is the specific abnormality observed in this image?",
995
+ "gt_answer": "Viral pneumonia",
996
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0108.jpeg",
997
+ "option_A": "Viral pneumonia",
998
+ "option_B": "Tuberculosis",
999
+ "option_C": "Asthma",
1000
+ "option_D": "Heart failure",
1001
+ "modality_type": "X-Ray"
1002
+ },
1003
+ {
1004
+ "dataset": "Covid-19 tianchi",
1005
+ "question_id": "Covid-19 tianchi_0077",
1006
+ "question_type": "Disease Diagnosis",
1007
+ "question": "What is the specific condition depicted in this image?",
1008
+ "gt_answer": "Viral pneumonia",
1009
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0109.jpeg",
1010
+ "option_A": "Asthma",
1011
+ "option_B": "Viral pneumonia",
1012
+ "option_C": "Pulmonary embolism",
1013
+ "option_D": "Chronic obstructive pulmonary disease (COPD)",
1014
+ "modality_type": "X-Ray"
1015
+ },
1016
+ {
1017
+ "dataset": "Covid-19 tianchi",
1018
+ "question_id": "Covid-19 tianchi_0078",
1019
+ "question_type": "Disease Diagnosis",
1020
+ "question": "What is the specific pathology depicted in this image?",
1021
+ "gt_answer": "Viral pneumonia",
1022
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0120.jpeg",
1023
+ "option_A": "Tuberculosis",
1024
+ "option_B": "Pleural effusion",
1025
+ "option_C": "Pulmonary fibrosis",
1026
+ "option_D": "Viral pneumonia",
1027
+ "modality_type": "X-Ray"
1028
+ },
1029
+ {
1030
+ "dataset": "Covid-19 tianchi",
1031
+ "question_id": "Covid-19 tianchi_0079",
1032
+ "question_type": "Disease Diagnosis",
1033
+ "question": "What is the visible abnormality in this image?",
1034
+ "gt_answer": "Viral pneumonia",
1035
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0103.jpeg",
1036
+ "option_A": "Bacterial pneumonia",
1037
+ "option_B": "Chronic obstructive pulmonary disease (COPD)",
1038
+ "option_C": "Lung cancer",
1039
+ "option_D": "Viral pneumonia",
1040
+ "modality_type": "X-Ray"
1041
+ },
1042
+ {
1043
+ "dataset": "Covid-19 tianchi",
1044
+ "question_id": "Covid-19 tianchi_0080",
1045
+ "question_type": "Disease Diagnosis",
1046
+ "question": "What is the identified condition visible in this image?",
1047
+ "gt_answer": "Viral pneumonia",
1048
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0105.jpeg",
1049
+ "option_A": "Chronic obstructive pulmonary disease (COPD)",
1050
+ "option_B": "Viral pneumonia",
1051
+ "option_C": "Lobar pneumonia",
1052
+ "option_D": "Pleural effusion",
1053
+ "modality_type": "X-Ray"
1054
+ },
1055
+ {
1056
+ "dataset": "Covid-19 tianchi",
1057
+ "question_id": "Covid-19 tianchi_0081",
1058
+ "question_type": "Disease Diagnosis",
1059
+ "question": "What is the specific diagnosis for the abnormality seen in this image?",
1060
+ "gt_answer": "Viral pneumonia",
1061
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0107.jpeg",
1062
+ "option_A": "Pulmonary embolism",
1063
+ "option_B": "Viral pneumonia",
1064
+ "option_C": "Pulmonary fibrosis",
1065
+ "option_D": "Chronic obstructive pulmonary disease (COPD)",
1066
+ "modality_type": "X-Ray"
1067
+ },
1068
+ {
1069
+ "dataset": "Covid-19 tianchi",
1070
+ "question_id": "Covid-19 tianchi_0082",
1071
+ "question_type": "Disease Diagnosis",
1072
+ "question": "What is the identifiable abnormality seen in this image?",
1073
+ "gt_answer": "Viral pneumonia",
1074
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0111.jpeg",
1075
+ "option_A": "Lobar pneumonia",
1076
+ "option_B": "Viral pneumonia",
1077
+ "option_C": "Bacterial pneumonia",
1078
+ "option_D": "Asthma",
1079
+ "modality_type": "X-Ray"
1080
+ },
1081
+ {
1082
+ "dataset": "Covid-19 tianchi",
1083
+ "question_id": "Covid-19 tianchi_0083",
1084
+ "question_type": "Disease Diagnosis",
1085
+ "question": "What is the specific medical condition depicted in this image?",
1086
+ "gt_answer": "Viral pneumonia",
1087
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0116.jpeg",
1088
+ "option_A": "Chronic obstructive pulmonary disease (COPD)",
1089
+ "option_B": "Lobar pneumonia",
1090
+ "option_C": "Bacterial pneumonia",
1091
+ "option_D": "Viral pneumonia",
1092
+ "modality_type": "X-Ray"
1093
+ },
1094
+ {
1095
+ "dataset": "Covid-19 tianchi",
1096
+ "question_id": "Covid-19 tianchi_0084",
1097
+ "question_type": "Disease Diagnosis",
1098
+ "question": "What is the specific diagnosis for the abnormality shown in this image?",
1099
+ "gt_answer": "Viral pneumonia",
1100
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0117.jpeg",
1101
+ "option_A": "Lung cancer",
1102
+ "option_B": "Lobar pneumonia",
1103
+ "option_C": "Viral pneumonia",
1104
+ "option_D": "Tuberculosis",
1105
+ "modality_type": "X-Ray"
1106
+ },
1107
+ {
1108
+ "dataset": "Covid-19 tianchi",
1109
+ "question_id": "Covid-19 tianchi_0085",
1110
+ "question_type": "Disease Diagnosis",
1111
+ "question": "What is the identified abnormality depicted in this image?",
1112
+ "gt_answer": "Viral pneumonia",
1113
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0118.jpeg",
1114
+ "option_A": "Bacterial pneumonia",
1115
+ "option_B": "Viral pneumonia",
1116
+ "option_C": "Lobar pneumonia",
1117
+ "option_D": "Pulmonary fibrosis",
1118
+ "modality_type": "X-Ray"
1119
+ },
1120
+ {
1121
+ "dataset": "Covid-19 tianchi",
1122
+ "question_id": "Covid-19 tianchi_0086",
1123
+ "question_type": "Disease Diagnosis",
1124
+ "question": "What is the specific condition depicted in this image?",
1125
+ "gt_answer": "Viral pneumonia",
1126
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0104.jpeg",
1127
+ "option_A": "Heart failure",
1128
+ "option_B": "Viral pneumonia",
1129
+ "option_C": "Chronic obstructive pulmonary disease (COPD)",
1130
+ "option_D": "Bacterial pneumonia",
1131
+ "modality_type": "X-Ray"
1132
+ },
1133
+ {
1134
+ "dataset": "Covid-19 tianchi",
1135
+ "question_id": "Covid-19 tianchi_0087",
1136
+ "question_type": "Disease Diagnosis",
1137
+ "question": "What is the specific condition depicted in this image?",
1138
+ "gt_answer": "Viral pneumonia",
1139
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0110.jpeg",
1140
+ "option_A": "Pulmonary embolism",
1141
+ "option_B": "Viral pneumonia",
1142
+ "option_C": "Heart failure",
1143
+ "option_D": "Bacterial pneumonia",
1144
+ "modality_type": "X-Ray"
1145
+ },
1146
+ {
1147
+ "dataset": "Covid-19 tianchi",
1148
+ "question_id": "Covid-19 tianchi_0088",
1149
+ "question_type": "Disease Diagnosis",
1150
+ "question": "What is the observed abnormality in this image?",
1151
+ "gt_answer": "Viral pneumonia",
1152
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0119.jpeg",
1153
+ "option_A": "Viral pneumonia",
1154
+ "option_B": "Pulmonary fibrosis",
1155
+ "option_C": "Asthma",
1156
+ "option_D": "Tuberculosis",
1157
+ "modality_type": "X-Ray"
1158
+ },
1159
+ {
1160
+ "dataset": "Covid-19 tianchi",
1161
+ "question_id": "Covid-19 tianchi_0089",
1162
+ "question_type": "Disease Diagnosis",
1163
+ "question": "What is the specific diagnosis for the abnormality shown in this image?",
1164
+ "gt_answer": "Viral pneumonia",
1165
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0115.jpeg",
1166
+ "option_A": "Chronic obstructive pulmonary disease (COPD)",
1167
+ "option_B": "Lobar pneumonia",
1168
+ "option_C": "Asthma",
1169
+ "option_D": "Viral pneumonia",
1170
+ "modality_type": "X-Ray"
1171
+ },
1172
+ {
1173
+ "dataset": "Covid-19 tianchi",
1174
+ "question_id": "Covid-19 tianchi_0090",
1175
+ "question_type": "Disease Diagnosis",
1176
+ "question": "What is the diagnosis for the abnormality seen in this image?",
1177
+ "gt_answer": "Viral pneumonia",
1178
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0113.jpeg",
1179
+ "option_A": "Tuberculosis",
1180
+ "option_B": "Lobar pneumonia",
1181
+ "option_C": "Viral pneumonia",
1182
+ "option_D": "Pulmonary embolism",
1183
+ "modality_type": "X-Ray"
1184
+ },
1185
+ {
1186
+ "dataset": "Covid-19 tianchi",
1187
+ "question_id": "Covid-19 tianchi_0091",
1188
+ "question_type": "Disease Diagnosis",
1189
+ "question": "What is the specific condition depicted in this image?",
1190
+ "gt_answer": "Viral pneumonia",
1191
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0101.jpeg",
1192
+ "option_A": "Bacterial pneumonia",
1193
+ "option_B": "Chronic obstructive pulmonary disease (COPD)",
1194
+ "option_C": "Viral pneumonia",
1195
+ "option_D": "Heart failure",
1196
+ "modality_type": "X-Ray"
1197
+ },
1198
+ {
1199
+ "dataset": "Covid-19 tianchi",
1200
+ "question_id": "Covid-19 tianchi_0092",
1201
+ "question_type": "Disease Diagnosis",
1202
+ "question": "What is the specific condition depicted in this image?",
1203
+ "gt_answer": "Viral pneumonia",
1204
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0114.jpeg",
1205
+ "option_A": "Viral pneumonia",
1206
+ "option_B": "Pleural effusion",
1207
+ "option_C": "Pulmonary embolism",
1208
+ "option_D": "Heart failure",
1209
+ "modality_type": "X-Ray"
1210
+ },
1211
+ {
1212
+ "dataset": "Covid-19 tianchi",
1213
+ "question_id": "Covid-19 tianchi_0093",
1214
+ "question_type": "Disease Diagnosis",
1215
+ "question": "What is the particular anomaly observed in this image?",
1216
+ "gt_answer": "Viral pneumonia",
1217
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0112.jpeg",
1218
+ "option_A": "Viral pneumonia",
1219
+ "option_B": "Pulmonary embolism",
1220
+ "option_C": "Chronic obstructive pulmonary disease (COPD)",
1221
+ "option_D": "Pulmonary fibrosis",
1222
+ "modality_type": "X-Ray"
1223
+ },
1224
+ {
1225
+ "dataset": "Covid-19 tianchi",
1226
+ "question_id": "Covid-19 tianchi_0094",
1227
+ "question_type": "Disease Diagnosis",
1228
+ "question": "What is the specific diagnosis for the abnormality depicted in this image?",
1229
+ "gt_answer": "Viral pneumonia",
1230
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0102.jpeg",
1231
+ "option_A": "Viral pneumonia",
1232
+ "option_B": "Pulmonary fibrosis",
1233
+ "option_C": "Lung cancer",
1234
+ "option_D": "Pulmonary embolism",
1235
+ "modality_type": "X-Ray"
1236
+ },
1237
+ {
1238
+ "dataset": "Covid-19 tianchi",
1239
+ "question_id": "Covid-19 tianchi_0095",
1240
+ "question_type": "Disease Diagnosis",
1241
+ "question": "What is the identifiable abnormality seen in this image?",
1242
+ "gt_answer": "Viral pneumonia",
1243
+ "image_path": "Images/Covid-19 tianchi/Covid-19-Image-Dataset_test_datasets/Viral-Pneumonia/0106.jpeg",
1244
+ "option_A": "Chronic obstructive pulmonary disease (COPD)",
1245
+ "option_B": "Viral pneumonia",
1246
+ "option_C": "Tuberculosis",
1247
+ "option_D": "Lung cancer",
1248
+ "modality_type": "X-Ray"
1249
+ }
1250
+ ]
Open-access/DRIMDB.json ADDED
@@ -0,0 +1,1596 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "dataset": "DRIMDB",
4
+ "question_id": "DRIMDB_0000",
5
+ "question_type": "Modality Recognition",
6
+ "question": "What imaging modality was used to capture this image?",
7
+ "gt_answer": "Retinal fundus imaging.",
8
+ "image_path": "Images/DRIMDB/drimdb_good (51).jpg",
9
+ "option_A": "Retinal fundus imaging.",
10
+ "option_B": "Magnetic resonance imaging (MRI)",
11
+ "option_C": "Mammography",
12
+ "option_D": "Electrocardiogram (ECG) imaging",
13
+ "modality_type": "Fundus Photography"
14
+ },
15
+ {
16
+ "dataset": "DRIMDB",
17
+ "question_id": "DRIMDB_0001",
18
+ "question_type": "Modality Recognition",
19
+ "question": "Which imaging modality was utilized to obtain the image?",
20
+ "gt_answer": "Retinal fundus imaging.",
21
+ "image_path": "Images/DRIMDB/drimdb_bad (56).jpg",
22
+ "option_A": "Angiography",
23
+ "option_B": "Computed tomography (CT) scan",
24
+ "option_C": "Retinal fundus imaging.",
25
+ "option_D": "Fluoroscopy",
26
+ "modality_type": "Fundus Photography"
27
+ },
28
+ {
29
+ "dataset": "DRIMDB",
30
+ "question_id": "DRIMDB_0002",
31
+ "question_type": "Modality Recognition",
32
+ "question": "What imaging modality was used to capture this image?",
33
+ "gt_answer": "Retinal fundus imaging.",
34
+ "image_path": "Images/DRIMDB/93db23b5ff1a4000a04593513739119e.jpg",
35
+ "option_A": "Electrocardiogram (ECG) imaging",
36
+ "option_B": "Retinal fundus imaging.",
37
+ "option_C": "X-ray imaging",
38
+ "option_D": "Angiography",
39
+ "modality_type": "Fundus Photography"
40
+ },
41
+ {
42
+ "dataset": "DRIMDB",
43
+ "question_id": "DRIMDB_0003",
44
+ "question_type": "Modality Recognition",
45
+ "question": "What specific method of imaging was utilized to obtain this picture?",
46
+ "gt_answer": "Retinal fundus imaging.",
47
+ "image_path": "Images/DRIMDB/5ca7be3a5d2e4fee9debe0196c7eca64_s.jpg",
48
+ "option_A": "Positron emission tomography (PET) scan",
49
+ "option_B": "Retinal fundus imaging.",
50
+ "option_C": "Electrocardiogram (ECG) imaging",
51
+ "option_D": "Angiography",
52
+ "modality_type": "Fundus Photography"
53
+ },
54
+ {
55
+ "dataset": "DRIMDB",
56
+ "question_id": "DRIMDB_0004",
57
+ "question_type": "Modality Recognition",
58
+ "question": "What imaging modality was used to capture this image?",
59
+ "gt_answer": "Retinal fundus imaging.",
60
+ "image_path": "Images/DRIMDB/drimdb_bad (18).jpg",
61
+ "option_A": "Retinal fundus imaging.",
62
+ "option_B": "Magnetic resonance imaging (MRI)",
63
+ "option_C": "Computed tomography (CT) scan",
64
+ "option_D": "X-ray imaging",
65
+ "modality_type": "Fundus Photography"
66
+ },
67
+ {
68
+ "dataset": "DRIMDB",
69
+ "question_id": "DRIMDB_0005",
70
+ "question_type": "Modality Recognition",
71
+ "question": "Which imaging technique was employed to obtain this image?",
72
+ "gt_answer": "Retinal fundus imaging.",
73
+ "image_path": "Images/DRIMDB/be8986ab00ea43a38ac3e3dd84772b8b_s.jpg",
74
+ "option_A": "Endoscopy",
75
+ "option_B": "Positron emission tomography (PET) scan",
76
+ "option_C": "Angiography",
77
+ "option_D": "Retinal fundus imaging.",
78
+ "modality_type": "Fundus Photography"
79
+ },
80
+ {
81
+ "dataset": "DRIMDB",
82
+ "question_id": "DRIMDB_0006",
83
+ "question_type": "Modality Recognition",
84
+ "question": "What type of imaging method was utilized to obtain this image?",
85
+ "gt_answer": "Retinal fundus imaging.",
86
+ "image_path": "Images/DRIMDB/d037e329e2be4af89b9f3059aba207eb_s.jpg",
87
+ "option_A": "Retinal fundus imaging.",
88
+ "option_B": "Computed tomography (CT) scan",
89
+ "option_C": "Mammography",
90
+ "option_D": "X-ray imaging",
91
+ "modality_type": "Fundus Photography"
92
+ },
93
+ {
94
+ "dataset": "DRIMDB",
95
+ "question_id": "DRIMDB_0007",
96
+ "question_type": "Modality Recognition",
97
+ "question": "Which diagnostic technique produced this picture?",
98
+ "gt_answer": "Retinal fundus imaging.",
99
+ "image_path": "Images/DRIMDB/0529b383795c4f5dbbcb9a698035de56.jpg",
100
+ "option_A": "Ultrasonography",
101
+ "option_B": "Retinal fundus imaging.",
102
+ "option_C": "Fluoroscopy",
103
+ "option_D": "Mammography",
104
+ "modality_type": "Fundus Photography"
105
+ },
106
+ {
107
+ "dataset": "DRIMDB",
108
+ "question_id": "DRIMDB_0008",
109
+ "question_type": "Modality Recognition",
110
+ "question": "Which diagnostic tool produced this picture?",
111
+ "gt_answer": "Retinal fundus imaging.",
112
+ "image_path": "Images/DRIMDB/ca590d00215d414e9d3e79272dc03c3c_s.jpg",
113
+ "option_A": "Computed tomography (CT) scan",
114
+ "option_B": "Retinal fundus imaging.",
115
+ "option_C": "Angiography",
116
+ "option_D": "Ultrasonography",
117
+ "modality_type": "Fundus Photography"
118
+ },
119
+ {
120
+ "dataset": "DRIMDB",
121
+ "question_id": "DRIMDB_0009",
122
+ "question_type": "Modality Recognition",
123
+ "question": "What kind of imaging was employed to capture this image?",
124
+ "gt_answer": "Retinal fundus imaging.",
125
+ "image_path": "Images/DRIMDB/851abdda00004583b6377b2f58544a81.jpg",
126
+ "option_A": "Mammography",
127
+ "option_B": "Ultrasonography",
128
+ "option_C": "Magnetic resonance imaging (MRI)",
129
+ "option_D": "Retinal fundus imaging.",
130
+ "modality_type": "Fundus Photography"
131
+ },
132
+ {
133
+ "dataset": "DRIMDB",
134
+ "question_id": "DRIMDB_0010",
135
+ "question_type": "Lesion Grading",
136
+ "question": "In the context of evaluating the quality of retinal images with a grading system that categorizes images into good, bad, or outlier, how would you classify the quality of this particular retinal image?",
137
+ "gt_answer": "it's a bad retinal image.",
138
+ "image_path": "Images/DRIMDB/86c11ce250fe49c1bccb3c32d586f9ab.jpg",
139
+ "option_A": "It's a good retinal image.",
140
+ "option_B": "It's a outlier retinal image.",
141
+ "option_C": "it's a bad retinal image.",
142
+ "modality_type": "Fundus Photography"
143
+ },
144
+ {
145
+ "dataset": "DRIMDB",
146
+ "question_id": "DRIMDB_0011",
147
+ "question_type": "Lesion Grading",
148
+ "question": "What is the specific classification of the image quality for this retinal image using a three-class grading system?",
149
+ "gt_answer": "it's a bad retinal image.",
150
+ "image_path": "Images/DRIMDB/86b199749e99424f836092ad3d7b6d1d_s.jpg",
151
+ "option_A": "it's a bad retinal image.",
152
+ "option_B": "It's a outlier retinal image.",
153
+ "option_C": "It's a good retinal image.",
154
+ "modality_type": "Fundus Photography"
155
+ },
156
+ {
157
+ "dataset": "DRIMDB",
158
+ "question_id": "DRIMDB_0012",
159
+ "question_type": "Lesion Grading",
160
+ "question": "What is the quality of the retinal image using a three-class grading system that includes good, bad, and outlier classes?",
161
+ "gt_answer": "it's a bad retinal image.",
162
+ "image_path": "Images/DRIMDB/drimdb_bad (24).jpg",
163
+ "option_A": "It's a good retinal image.",
164
+ "option_B": "It's a outlier retinal image.",
165
+ "option_C": "it's a bad retinal image.",
166
+ "modality_type": "Fundus Photography"
167
+ },
168
+ {
169
+ "dataset": "DRIMDB",
170
+ "question_id": "DRIMDB_0013",
171
+ "question_type": "Lesion Grading",
172
+ "question": "What classification would you assign to the image quality of this retinal image using a three-class grading system consisting of good, bad, and outlier classes?",
173
+ "gt_answer": "it's a bad retinal image.",
174
+ "image_path": "Images/DRIMDB/8ab045075d7c49a7acb4735e864a9f1c_s.jpg",
175
+ "option_A": "It's a good retinal image.",
176
+ "option_B": "it's a bad retinal image.",
177
+ "option_C": "It's a outlier retinal image.",
178
+ "modality_type": "Fundus Photography"
179
+ },
180
+ {
181
+ "dataset": "DRIMDB",
182
+ "question_id": "DRIMDB_0014",
183
+ "question_type": "Lesion Grading",
184
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of this image?",
185
+ "gt_answer": "it's a bad retinal image.",
186
+ "image_path": "Images/DRIMDB/drimdb_bad (27).jpg",
187
+ "option_A": "It's a outlier retinal image.",
188
+ "option_B": "it's a bad retinal image.",
189
+ "option_C": "It's a good retinal image.",
190
+ "modality_type": "Fundus Photography"
191
+ },
192
+ {
193
+ "dataset": "DRIMDB",
194
+ "question_id": "DRIMDB_0015",
195
+ "question_type": "Lesion Grading",
196
+ "question": "What is the specific quality of the retinal image based on the three-class grading system?",
197
+ "gt_answer": "it's a bad retinal image.",
198
+ "image_path": "Images/DRIMDB/drimdb_bad (10).jpg",
199
+ "option_A": "It's a good retinal image.",
200
+ "option_B": "It's a outlier retinal image.",
201
+ "option_C": "it's a bad retinal image.",
202
+ "modality_type": "Fundus Photography"
203
+ },
204
+ {
205
+ "dataset": "DRIMDB",
206
+ "question_id": "DRIMDB_0016",
207
+ "question_type": "Lesion Grading",
208
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of this image?",
209
+ "gt_answer": "it's a bad retinal image.",
210
+ "image_path": "Images/DRIMDB/drimdb_bad (56).jpg",
211
+ "option_A": "it's a bad retinal image.",
212
+ "option_B": "It's a good retinal image.",
213
+ "option_C": "It's a outlier retinal image.",
214
+ "modality_type": "Fundus Photography"
215
+ },
216
+ {
217
+ "dataset": "DRIMDB",
218
+ "question_id": "DRIMDB_0017",
219
+ "question_type": "Lesion Grading",
220
+ "question": "What is the specific image quality of this retinal image using a three-class grading system consisting of good, bad, and outlier classes?",
221
+ "gt_answer": "it's a bad retinal image.",
222
+ "image_path": "Images/DRIMDB/93db23b5ff1a4000a04593513739119e.jpg",
223
+ "option_A": "It's a good retinal image.",
224
+ "option_B": "It's a outlier retinal image.",
225
+ "option_C": "it's a bad retinal image.",
226
+ "modality_type": "Fundus Photography"
227
+ },
228
+ {
229
+ "dataset": "DRIMDB",
230
+ "question_id": "DRIMDB_0018",
231
+ "question_type": "Lesion Grading",
232
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of this image?",
233
+ "gt_answer": "it's a bad retinal image.",
234
+ "image_path": "Images/DRIMDB/drimdb_bad (16).jpg",
235
+ "option_A": "It's a good retinal image.",
236
+ "option_B": "It's a outlier retinal image.",
237
+ "option_C": "it's a bad retinal image.",
238
+ "modality_type": "Fundus Photography"
239
+ },
240
+ {
241
+ "dataset": "DRIMDB",
242
+ "question_id": "DRIMDB_0019",
243
+ "question_type": "Lesion Grading",
244
+ "question": "What is the specific classification of image quality for this retinal image?",
245
+ "gt_answer": "it's a bad retinal image.",
246
+ "image_path": "Images/DRIMDB/94576b2f75dd4f72805f9e349c4082c8_s.jpg",
247
+ "option_A": "It's a good retinal image.",
248
+ "option_B": "It's a outlier retinal image.",
249
+ "option_C": "it's a bad retinal image.",
250
+ "modality_type": "Fundus Photography"
251
+ },
252
+ {
253
+ "dataset": "DRIMDB",
254
+ "question_id": "DRIMDB_0020",
255
+ "question_type": "Lesion Grading",
256
+ "question": "What is the specific quality classification of this retinal image using a three-class grading system?",
257
+ "gt_answer": "it's a bad retinal image.",
258
+ "image_path": "Images/DRIMDB/fd1826f8d4b74c978d745de1622a4b42_s.jpg",
259
+ "option_A": "it's a bad retinal image.",
260
+ "option_B": "It's a outlier retinal image.",
261
+ "option_C": "It's a good retinal image.",
262
+ "modality_type": "Fundus Photography"
263
+ },
264
+ {
265
+ "dataset": "DRIMDB",
266
+ "question_id": "DRIMDB_0021",
267
+ "question_type": "Lesion Grading",
268
+ "question": "What is the specific classification of the image quality for this retinal image in the three-class grading system?",
269
+ "gt_answer": "it's a bad retinal image.",
270
+ "image_path": "Images/DRIMDB/56ec53f002454c7c8c0a4a32538c78c6_s.jpg",
271
+ "option_A": "It's a outlier retinal image.",
272
+ "option_B": "it's a bad retinal image.",
273
+ "option_C": "It's a good retinal image.",
274
+ "modality_type": "Fundus Photography"
275
+ },
276
+ {
277
+ "dataset": "DRIMDB",
278
+ "question_id": "DRIMDB_0022",
279
+ "question_type": "Lesion Grading",
280
+ "question": "What is the specific image quality classification of this retinal image using a three-class grading system consisting of good, bad, and outlier classes?",
281
+ "gt_answer": "it's a bad retinal image.",
282
+ "image_path": "Images/DRIMDB/drimdb_bad (14).jpg",
283
+ "option_A": "It's a outlier retinal image.",
284
+ "option_B": "it's a bad retinal image.",
285
+ "option_C": "It's a good retinal image.",
286
+ "modality_type": "Fundus Photography"
287
+ },
288
+ {
289
+ "dataset": "DRIMDB",
290
+ "question_id": "DRIMDB_0023",
291
+ "question_type": "Lesion Grading",
292
+ "question": "What specific image quality does this image possess when using a three-class grading system consisting of good, bad, and outlier classes?",
293
+ "gt_answer": "it's a bad retinal image.",
294
+ "image_path": "Images/DRIMDB/drimdb_bad (18).jpg",
295
+ "option_A": "it's a bad retinal image.",
296
+ "option_B": "It's a outlier retinal image.",
297
+ "option_C": "It's a good retinal image.",
298
+ "modality_type": "Fundus Photography"
299
+ },
300
+ {
301
+ "dataset": "DRIMDB",
302
+ "question_id": "DRIMDB_0024",
303
+ "question_type": "Lesion Grading",
304
+ "question": "What is the classification of the image quality for this retinal image using a three-class grading system?",
305
+ "gt_answer": "it's a bad retinal image.",
306
+ "image_path": "Images/DRIMDB/drimdb_bad (22).jpg",
307
+ "option_A": "It's a outlier retinal image.",
308
+ "option_B": "it's a bad retinal image.",
309
+ "option_C": "It's a good retinal image.",
310
+ "modality_type": "Fundus Photography"
311
+ },
312
+ {
313
+ "dataset": "DRIMDB",
314
+ "question_id": "DRIMDB_0025",
315
+ "question_type": "Lesion Grading",
316
+ "question": "What is the classification of the image quality of this retinal image using a three-class grading system?",
317
+ "gt_answer": "it's a bad retinal image.",
318
+ "image_path": "Images/DRIMDB/72da88432c7549128907a52c690207af.jpg",
319
+ "option_A": "It's a good retinal image.",
320
+ "option_B": "it's a bad retinal image.",
321
+ "option_C": "It's a outlier retinal image.",
322
+ "modality_type": "Fundus Photography"
323
+ },
324
+ {
325
+ "dataset": "DRIMDB",
326
+ "question_id": "DRIMDB_0026",
327
+ "question_type": "Lesion Grading",
328
+ "question": "What is the specific quality classification for this retinal image using a three-class grading system?",
329
+ "gt_answer": "it's a bad retinal image.",
330
+ "image_path": "Images/DRIMDB/94943f477a6f464f8d9466b0522ab186.jpg",
331
+ "option_A": "it's a bad retinal image.",
332
+ "option_B": "It's a good retinal image.",
333
+ "option_C": "It's a outlier retinal image.",
334
+ "modality_type": "Fundus Photography"
335
+ },
336
+ {
337
+ "dataset": "DRIMDB",
338
+ "question_id": "DRIMDB_0027",
339
+ "question_type": "Lesion Grading",
340
+ "question": "What classification does the specific image quality of this retinal image fall into?",
341
+ "gt_answer": "it's a bad retinal image.",
342
+ "image_path": "Images/DRIMDB/be8986ab00ea43a38ac3e3dd84772b8b_s.jpg",
343
+ "option_A": "it's a bad retinal image.",
344
+ "option_B": "It's a good retinal image.",
345
+ "option_C": "It's a outlier retinal image.",
346
+ "modality_type": "Fundus Photography"
347
+ },
348
+ {
349
+ "dataset": "DRIMDB",
350
+ "question_id": "DRIMDB_0028",
351
+ "question_type": "Lesion Grading",
352
+ "question": "What classification does this retinal image fall into based on the three-class grading system?",
353
+ "gt_answer": "it's a bad retinal image.",
354
+ "image_path": "Images/DRIMDB/drimdb_bad (43).jpg",
355
+ "option_A": "it's a bad retinal image.",
356
+ "option_B": "It's a good retinal image.",
357
+ "option_C": "It's a outlier retinal image.",
358
+ "modality_type": "Fundus Photography"
359
+ },
360
+ {
361
+ "dataset": "DRIMDB",
362
+ "question_id": "DRIMDB_0029",
363
+ "question_type": "Lesion Grading",
364
+ "question": "What is the specific grading of this retinal image in terms of image quality?",
365
+ "gt_answer": "it's a bad retinal image.",
366
+ "image_path": "Images/DRIMDB/8bb4fc39a94d4b129861c62d7aa054b2.jpg",
367
+ "option_A": "it's a bad retinal image.",
368
+ "option_B": "It's a outlier retinal image.",
369
+ "option_C": "It's a good retinal image.",
370
+ "modality_type": "Fundus Photography"
371
+ },
372
+ {
373
+ "dataset": "DRIMDB",
374
+ "question_id": "DRIMDB_0030",
375
+ "question_type": "Lesion Grading",
376
+ "question": "What classification would be given to the retinal image if a three-class grading system consisting of good, bad, and outlier classes is utilized for retinal image quality assessment?",
377
+ "gt_answer": "it's a bad retinal image.",
378
+ "image_path": "Images/DRIMDB/979b99d55d1f433c823a0003874d8460.jpg",
379
+ "option_A": "It's a outlier retinal image.",
380
+ "option_B": "it's a bad retinal image.",
381
+ "option_C": "It's a good retinal image.",
382
+ "modality_type": "Fundus Photography"
383
+ },
384
+ {
385
+ "dataset": "DRIMDB",
386
+ "question_id": "DRIMDB_0031",
387
+ "question_type": "Lesion Grading",
388
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of this image?",
389
+ "gt_answer": "it's a bad retinal image.",
390
+ "image_path": "Images/DRIMDB/drimdb_bad (26).jpg",
391
+ "option_A": "It's a good retinal image.",
392
+ "option_B": "It's a outlier retinal image.",
393
+ "option_C": "it's a bad retinal image.",
394
+ "modality_type": "Fundus Photography"
395
+ },
396
+ {
397
+ "dataset": "DRIMDB",
398
+ "question_id": "DRIMDB_0032",
399
+ "question_type": "Lesion Grading",
400
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of this image?",
401
+ "gt_answer": "it's a bad retinal image.",
402
+ "image_path": "Images/DRIMDB/drimdb_bad (65).jpg",
403
+ "option_A": "it's a bad retinal image.",
404
+ "option_B": "It's a outlier retinal image.",
405
+ "option_C": "It's a good retinal image.",
406
+ "modality_type": "Fundus Photography"
407
+ },
408
+ {
409
+ "dataset": "DRIMDB",
410
+ "question_id": "DRIMDB_0033",
411
+ "question_type": "Lesion Grading",
412
+ "question": "What is the classification of the image quality of this retinal image based on the three-class grading system?",
413
+ "gt_answer": "it's a bad retinal image.",
414
+ "image_path": "Images/DRIMDB/drimdb_bad (7).jpg",
415
+ "option_A": "It's a outlier retinal image.",
416
+ "option_B": "It's a good retinal image.",
417
+ "option_C": "it's a bad retinal image.",
418
+ "modality_type": "Fundus Photography"
419
+ },
420
+ {
421
+ "dataset": "DRIMDB",
422
+ "question_id": "DRIMDB_0034",
423
+ "question_type": "Lesion Grading",
424
+ "question": "What grade does this retinal image receive in terms of its quality?",
425
+ "gt_answer": "it's a bad retinal image.",
426
+ "image_path": "Images/DRIMDB/c94f112ece6b4bf0b8d87d800e40df65.jpg",
427
+ "option_A": "It's a good retinal image.",
428
+ "option_B": "it's a bad retinal image.",
429
+ "option_C": "It's a outlier retinal image.",
430
+ "modality_type": "Fundus Photography"
431
+ },
432
+ {
433
+ "dataset": "DRIMDB",
434
+ "question_id": "DRIMDB_0035",
435
+ "question_type": "Lesion Grading",
436
+ "question": "What classification does the retinal image receive under the three-class grading system for image quality assessment?",
437
+ "gt_answer": "it's a bad retinal image.",
438
+ "image_path": "Images/DRIMDB/0b6afda9f77b4a1bb75a5d89d672da88_s.jpg",
439
+ "option_A": "it's a bad retinal image.",
440
+ "option_B": "It's a good retinal image.",
441
+ "option_C": "It's a outlier retinal image.",
442
+ "modality_type": "Fundus Photography"
443
+ },
444
+ {
445
+ "dataset": "DRIMDB",
446
+ "question_id": "DRIMDB_0036",
447
+ "question_type": "Lesion Grading",
448
+ "question": "What is the specific classification of the image quality of this retinal image using a three-class grading system?",
449
+ "gt_answer": "it's a bad retinal image.",
450
+ "image_path": "Images/DRIMDB/b14e0e77a6eb4634afbbbf721a783e09_s.jpg",
451
+ "option_A": "It's a good retinal image.",
452
+ "option_B": "It's a outlier retinal image.",
453
+ "option_C": "it's a bad retinal image.",
454
+ "modality_type": "Fundus Photography"
455
+ },
456
+ {
457
+ "dataset": "DRIMDB",
458
+ "question_id": "DRIMDB_0037",
459
+ "question_type": "Lesion Grading",
460
+ "question": "What is the specific assessment of the retinal image quality using a three-class grading system?",
461
+ "gt_answer": "it's a bad retinal image.",
462
+ "image_path": "Images/DRIMDB/a72caf313d744063852b7331524fcb5d.jpg",
463
+ "option_A": "It's a good retinal image.",
464
+ "option_B": "it's a bad retinal image.",
465
+ "option_C": "It's a outlier retinal image.",
466
+ "modality_type": "Fundus Photography"
467
+ },
468
+ {
469
+ "dataset": "DRIMDB",
470
+ "question_id": "DRIMDB_0038",
471
+ "question_type": "Lesion Grading",
472
+ "question": "What classification does this retinal image receive based on its image quality in the three-class grading system?",
473
+ "gt_answer": "it's a bad retinal image.",
474
+ "image_path": "Images/DRIMDB/5bbdf20a97214568b79e8fa32307cfcf.jpg",
475
+ "option_A": "It's a good retinal image.",
476
+ "option_B": "it's a bad retinal image.",
477
+ "option_C": "It's a outlier retinal image.",
478
+ "modality_type": "Fundus Photography"
479
+ },
480
+ {
481
+ "dataset": "DRIMDB",
482
+ "question_id": "DRIMDB_0039",
483
+ "question_type": "Lesion Grading",
484
+ "question": "What is the specific classification of the image quality for this retinal image when using a three-class grading system?",
485
+ "gt_answer": "it's a bad retinal image.",
486
+ "image_path": "Images/DRIMDB/drimdb_bad (48).jpg",
487
+ "option_A": "it's a bad retinal image.",
488
+ "option_B": "It's a outlier retinal image.",
489
+ "option_C": "It's a good retinal image.",
490
+ "modality_type": "Fundus Photography"
491
+ },
492
+ {
493
+ "dataset": "DRIMDB",
494
+ "question_id": "DRIMDB_0040",
495
+ "question_type": "Lesion Grading",
496
+ "question": "What classification does this retinal image fall into in terms of image quality?",
497
+ "gt_answer": "it's a bad retinal image.",
498
+ "image_path": "Images/DRIMDB/drimdb_bad (20).jpg",
499
+ "option_A": "it's a bad retinal image.",
500
+ "option_B": "It's a outlier retinal image.",
501
+ "option_C": "It's a good retinal image.",
502
+ "modality_type": "Fundus Photography"
503
+ },
504
+ {
505
+ "dataset": "DRIMDB",
506
+ "question_id": "DRIMDB_0041",
507
+ "question_type": "Lesion Grading",
508
+ "question": "What classification does this image fall into in terms of retinal image quality assessment (IQA) using a three-class grading system?",
509
+ "gt_answer": "it's a bad retinal image.",
510
+ "image_path": "Images/DRIMDB/9371d2d2c68545478f7a37a25468ba86.jpg",
511
+ "option_A": "it's a bad retinal image.",
512
+ "option_B": "It's a outlier retinal image.",
513
+ "option_C": "It's a good retinal image.",
514
+ "modality_type": "Fundus Photography"
515
+ },
516
+ {
517
+ "dataset": "DRIMDB",
518
+ "question_id": "DRIMDB_0042",
519
+ "question_type": "Lesion Grading",
520
+ "question": "What classification does this image fall into in terms of retinal image quality?",
521
+ "gt_answer": "it's a good retinal image.",
522
+ "image_path": "Images/DRIMDB/drimdb_good (51).jpg",
523
+ "option_A": "it's a good retinal image.",
524
+ "option_B": "It's a outlier retinal image.",
525
+ "option_C": "It's a bad retinal image.",
526
+ "modality_type": "Fundus Photography"
527
+ },
528
+ {
529
+ "dataset": "DRIMDB",
530
+ "question_id": "DRIMDB_0043",
531
+ "question_type": "Lesion Grading",
532
+ "question": "For the purpose of diagnosing retinal diseases through automated analysis systems, when employing a tri-level classification scheme comprising good, bad, and outlier categories, how would the quality of this particular retinal photograph be categorized?",
533
+ "gt_answer": "it's a good retinal image.",
534
+ "image_path": "Images/DRIMDB/drimdb_good (17).jpg",
535
+ "option_A": "It's a outlier retinal image.",
536
+ "option_B": "It's a bad retinal image.",
537
+ "option_C": "it's a good retinal image.",
538
+ "modality_type": "Fundus Photography"
539
+ },
540
+ {
541
+ "dataset": "DRIMDB",
542
+ "question_id": "DRIMDB_0044",
543
+ "question_type": "Lesion Grading",
544
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
545
+ "gt_answer": "it's a good retinal image.",
546
+ "image_path": "Images/DRIMDB/ad718567f7e141d0bee571f4c8d628ef.jpg",
547
+ "option_A": "It's a bad retinal image.",
548
+ "option_B": "It's a outlier retinal image.",
549
+ "option_C": "it's a good retinal image.",
550
+ "modality_type": "Fundus Photography"
551
+ },
552
+ {
553
+ "dataset": "DRIMDB",
554
+ "question_id": "DRIMDB_0045",
555
+ "question_type": "Lesion Grading",
556
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
557
+ "gt_answer": "it's a good retinal image.",
558
+ "image_path": "Images/DRIMDB/f42a8ef4be184c2b9a580c3e33c8055f.jpg",
559
+ "option_A": "It's a outlier retinal image.",
560
+ "option_B": "It's a bad retinal image.",
561
+ "option_C": "it's a good retinal image.",
562
+ "modality_type": "Fundus Photography"
563
+ },
564
+ {
565
+ "dataset": "DRIMDB",
566
+ "question_id": "DRIMDB_0046",
567
+ "question_type": "Lesion Grading",
568
+ "question": "What is the classification of the retinal image quality in this image using a three-class grading system?",
569
+ "gt_answer": "it's a good retinal image.",
570
+ "image_path": "Images/DRIMDB/drimdb_good (117).jpg",
571
+ "option_A": "It's a bad retinal image.",
572
+ "option_B": "it's a good retinal image.",
573
+ "option_C": "It's a outlier retinal image.",
574
+ "modality_type": "Fundus Photography"
575
+ },
576
+ {
577
+ "dataset": "DRIMDB",
578
+ "question_id": "DRIMDB_0047",
579
+ "question_type": "Lesion Grading",
580
+ "question": "What is the specific classification of the image quality of this retinal image when using a three-class grading system that includes good, bad, and outlier categories?",
581
+ "gt_answer": "it's a good retinal image.",
582
+ "image_path": "Images/DRIMDB/drimdb_good (33).jpg",
583
+ "option_A": "It's a bad retinal image.",
584
+ "option_B": "It's a outlier retinal image.",
585
+ "option_C": "it's a good retinal image.",
586
+ "modality_type": "Fundus Photography"
587
+ },
588
+ {
589
+ "dataset": "DRIMDB",
590
+ "question_id": "DRIMDB_0048",
591
+ "question_type": "Lesion Grading",
592
+ "question": "What classification does this retinal image fall under in terms of its quality?",
593
+ "gt_answer": "it's a good retinal image.",
594
+ "image_path": "Images/DRIMDB/2cadc592fe2f49afad15a13b9d0db365_s.jpg",
595
+ "option_A": "It's a outlier retinal image.",
596
+ "option_B": "It's a bad retinal image.",
597
+ "option_C": "it's a good retinal image.",
598
+ "modality_type": "Fundus Photography"
599
+ },
600
+ {
601
+ "dataset": "DRIMDB",
602
+ "question_id": "DRIMDB_0049",
603
+ "question_type": "Lesion Grading",
604
+ "question": "What specific grade does this retinal image receive in terms of image quality assessment (IQA) when using a three-class grading system consisting of good, bad, and outlier classes?",
605
+ "gt_answer": "it's a good retinal image.",
606
+ "image_path": "Images/DRIMDB/drimdb_good (114).jpg",
607
+ "option_A": "it's a good retinal image.",
608
+ "option_B": "It's a outlier retinal image.",
609
+ "option_C": "It's a bad retinal image.",
610
+ "modality_type": "Fundus Photography"
611
+ },
612
+ {
613
+ "dataset": "DRIMDB",
614
+ "question_id": "DRIMDB_0050",
615
+ "question_type": "Lesion Grading",
616
+ "question": "What is the classification of the image quality of this retinal image?",
617
+ "gt_answer": "it's a good retinal image.",
618
+ "image_path": "Images/DRIMDB/59309da1b1d943829458de05fdc8776c_s.jpg",
619
+ "option_A": "It's a bad retinal image.",
620
+ "option_B": "it's a good retinal image.",
621
+ "option_C": "It's a outlier retinal image.",
622
+ "modality_type": "Fundus Photography"
623
+ },
624
+ {
625
+ "dataset": "DRIMDB",
626
+ "question_id": "DRIMDB_0051",
627
+ "question_type": "Lesion Grading",
628
+ "question": "What is the specific classification of the image quality of this retinal image within the three-class grading system?",
629
+ "gt_answer": "it's a good retinal image.",
630
+ "image_path": "Images/DRIMDB/38d9fb72cfe3443d87c5cf28adca3758.jpg",
631
+ "option_A": "It's a bad retinal image.",
632
+ "option_B": "it's a good retinal image.",
633
+ "option_C": "It's a outlier retinal image.",
634
+ "modality_type": "Fundus Photography"
635
+ },
636
+ {
637
+ "dataset": "DRIMDB",
638
+ "question_id": "DRIMDB_0052",
639
+ "question_type": "Lesion Grading",
640
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
641
+ "gt_answer": "it's a good retinal image.",
642
+ "image_path": "Images/DRIMDB/56cc89dda1524aeb807df561dfc1ac09_s.jpg",
643
+ "option_A": "It's a outlier retinal image.",
644
+ "option_B": "It's a bad retinal image.",
645
+ "option_C": "it's a good retinal image.",
646
+ "modality_type": "Fundus Photography"
647
+ },
648
+ {
649
+ "dataset": "DRIMDB",
650
+ "question_id": "DRIMDB_0053",
651
+ "question_type": "Lesion Grading",
652
+ "question": "What is the specific classification of the retinal image quality in this image based on the three-class grading system?",
653
+ "gt_answer": "it's a good retinal image.",
654
+ "image_path": "Images/DRIMDB/1f3904bb30d34884b4946c19a4118488.jpg",
655
+ "option_A": "It's a bad retinal image.",
656
+ "option_B": "It's a outlier retinal image.",
657
+ "option_C": "it's a good retinal image.",
658
+ "modality_type": "Fundus Photography"
659
+ },
660
+ {
661
+ "dataset": "DRIMDB",
662
+ "question_id": "DRIMDB_0054",
663
+ "question_type": "Lesion Grading",
664
+ "question": "What is the specific classification of image quality for this retinal image?",
665
+ "gt_answer": "it's a good retinal image.",
666
+ "image_path": "Images/DRIMDB/8ba8f8f0c66f449d8f7dcc17761aa5c7_s.jpg",
667
+ "option_A": "it's a good retinal image.",
668
+ "option_B": "It's a outlier retinal image.",
669
+ "option_C": "It's a bad retinal image.",
670
+ "modality_type": "Fundus Photography"
671
+ },
672
+ {
673
+ "dataset": "DRIMDB",
674
+ "question_id": "DRIMDB_0055",
675
+ "question_type": "Lesion Grading",
676
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
677
+ "gt_answer": "it's a good retinal image.",
678
+ "image_path": "Images/DRIMDB/cd236de475f14d3898e0e64375ae9115.jpg",
679
+ "option_A": "It's a outlier retinal image.",
680
+ "option_B": "It's a bad retinal image.",
681
+ "option_C": "it's a good retinal image.",
682
+ "modality_type": "Fundus Photography"
683
+ },
684
+ {
685
+ "dataset": "DRIMDB",
686
+ "question_id": "DRIMDB_0056",
687
+ "question_type": "Lesion Grading",
688
+ "question": "What is the specific image quality classification of this retinal image based on the three-class grading system?",
689
+ "gt_answer": "it's a good retinal image.",
690
+ "image_path": "Images/DRIMDB/195a17e600084f859adf50391d330981.jpg",
691
+ "option_A": "It's a bad retinal image.",
692
+ "option_B": "it's a good retinal image.",
693
+ "option_C": "It's a outlier retinal image.",
694
+ "modality_type": "Fundus Photography"
695
+ },
696
+ {
697
+ "dataset": "DRIMDB",
698
+ "question_id": "DRIMDB_0057",
699
+ "question_type": "Lesion Grading",
700
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
701
+ "gt_answer": "it's a good retinal image.",
702
+ "image_path": "Images/DRIMDB/drimdb_good (21).jpg",
703
+ "option_A": "It's a bad retinal image.",
704
+ "option_B": "It's a outlier retinal image.",
705
+ "option_C": "it's a good retinal image.",
706
+ "modality_type": "Fundus Photography"
707
+ },
708
+ {
709
+ "dataset": "DRIMDB",
710
+ "question_id": "DRIMDB_0058",
711
+ "question_type": "Lesion Grading",
712
+ "question": "What type of retinal image is this in terms of quality?",
713
+ "gt_answer": "it's a good retinal image.",
714
+ "image_path": "Images/DRIMDB/drimdb_good (94).jpg",
715
+ "option_A": "it's a good retinal image.",
716
+ "option_B": "It's a bad retinal image.",
717
+ "option_C": "It's a outlier retinal image.",
718
+ "modality_type": "Fundus Photography"
719
+ },
720
+ {
721
+ "dataset": "DRIMDB",
722
+ "question_id": "DRIMDB_0059",
723
+ "question_type": "Lesion Grading",
724
+ "question": "What specific classification does the image quality of this retinal image fall into?",
725
+ "gt_answer": "it's a good retinal image.",
726
+ "image_path": "Images/DRIMDB/drimdb_good (14).jpg",
727
+ "option_A": "it's a good retinal image.",
728
+ "option_B": "It's a bad retinal image.",
729
+ "option_C": "It's a outlier retinal image.",
730
+ "modality_type": "Fundus Photography"
731
+ },
732
+ {
733
+ "dataset": "DRIMDB",
734
+ "question_id": "DRIMDB_0060",
735
+ "question_type": "Lesion Grading",
736
+ "question": "What is the classification of the image quality for this retinal image according to the three-class grading system?",
737
+ "gt_answer": "it's a good retinal image.",
738
+ "image_path": "Images/DRIMDB/84733cf297f544d1ae0f0addfe76efc5_s.jpg",
739
+ "option_A": "It's a bad retinal image.",
740
+ "option_B": "It's a outlier retinal image.",
741
+ "option_C": "it's a good retinal image.",
742
+ "modality_type": "Fundus Photography"
743
+ },
744
+ {
745
+ "dataset": "DRIMDB",
746
+ "question_id": "DRIMDB_0061",
747
+ "question_type": "Lesion Grading",
748
+ "question": "What classification does this retinal image belong to in terms of image quality?",
749
+ "gt_answer": "it's a good retinal image.",
750
+ "image_path": "Images/DRIMDB/drimdb_good (93).jpg",
751
+ "option_A": "It's a bad retinal image.",
752
+ "option_B": "it's a good retinal image.",
753
+ "option_C": "It's a outlier retinal image.",
754
+ "modality_type": "Fundus Photography"
755
+ },
756
+ {
757
+ "dataset": "DRIMDB",
758
+ "question_id": "DRIMDB_0062",
759
+ "question_type": "Lesion Grading",
760
+ "question": "What is the specific grading class assigned to the image quality of this retinal image?",
761
+ "gt_answer": "it's a good retinal image.",
762
+ "image_path": "Images/DRIMDB/drimdb_good (28).jpg",
763
+ "option_A": "It's a bad retinal image.",
764
+ "option_B": "It's a outlier retinal image.",
765
+ "option_C": "it's a good retinal image.",
766
+ "modality_type": "Fundus Photography"
767
+ },
768
+ {
769
+ "dataset": "DRIMDB",
770
+ "question_id": "DRIMDB_0063",
771
+ "question_type": "Lesion Grading",
772
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
773
+ "gt_answer": "it's a good retinal image.",
774
+ "image_path": "Images/DRIMDB/26a0e3cba8a745c19f95eda02e5ac2ae_s.jpg",
775
+ "option_A": "it's a good retinal image.",
776
+ "option_B": "It's a outlier retinal image.",
777
+ "option_C": "It's a bad retinal image.",
778
+ "modality_type": "Fundus Photography"
779
+ },
780
+ {
781
+ "dataset": "DRIMDB",
782
+ "question_id": "DRIMDB_0064",
783
+ "question_type": "Lesion Grading",
784
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
785
+ "gt_answer": "it's a good retinal image.",
786
+ "image_path": "Images/DRIMDB/fb8da7f2a97b40748fa8ff4d5c7656fe_s.jpg",
787
+ "option_A": "It's a bad retinal image.",
788
+ "option_B": "it's a good retinal image.",
789
+ "option_C": "It's a outlier retinal image.",
790
+ "modality_type": "Fundus Photography"
791
+ },
792
+ {
793
+ "dataset": "DRIMDB",
794
+ "question_id": "DRIMDB_0065",
795
+ "question_type": "Lesion Grading",
796
+ "question": "What is the classification of the retinal image quality in this image if we utilize a three-class grading system consisting of good, bad, and outlier classes?",
797
+ "gt_answer": "it's a good retinal image.",
798
+ "image_path": "Images/DRIMDB/drimdb_good (85).jpg",
799
+ "option_A": "It's a outlier retinal image.",
800
+ "option_B": "It's a bad retinal image.",
801
+ "option_C": "it's a good retinal image.",
802
+ "modality_type": "Fundus Photography"
803
+ },
804
+ {
805
+ "dataset": "DRIMDB",
806
+ "question_id": "DRIMDB_0066",
807
+ "question_type": "Lesion Grading",
808
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
809
+ "gt_answer": "it's a good retinal image.",
810
+ "image_path": "Images/DRIMDB/drimdb_good (27).jpg",
811
+ "option_A": "it's a good retinal image.",
812
+ "option_B": "It's a bad retinal image.",
813
+ "option_C": "It's a outlier retinal image.",
814
+ "modality_type": "Fundus Photography"
815
+ },
816
+ {
817
+ "dataset": "DRIMDB",
818
+ "question_id": "DRIMDB_0067",
819
+ "question_type": "Lesion Grading",
820
+ "question": "What is the specific classification of the retinal image quality in this image according to the three-class grading system?",
821
+ "gt_answer": "it's a good retinal image.",
822
+ "image_path": "Images/DRIMDB/drimdb_good (81).jpg",
823
+ "option_A": "it's a good retinal image.",
824
+ "option_B": "It's a bad retinal image.",
825
+ "option_C": "It's a outlier retinal image.",
826
+ "modality_type": "Fundus Photography"
827
+ },
828
+ {
829
+ "dataset": "DRIMDB",
830
+ "question_id": "DRIMDB_0068",
831
+ "question_type": "Lesion Grading",
832
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
833
+ "gt_answer": "it's a good retinal image.",
834
+ "image_path": "Images/DRIMDB/drimdb_good (80).jpg",
835
+ "option_A": "it's a good retinal image.",
836
+ "option_B": "It's a outlier retinal image.",
837
+ "option_C": "It's a bad retinal image.",
838
+ "modality_type": "Fundus Photography"
839
+ },
840
+ {
841
+ "dataset": "DRIMDB",
842
+ "question_id": "DRIMDB_0069",
843
+ "question_type": "Lesion Grading",
844
+ "question": "What is the assessment of the retinal image quality in terms of the three-class grading system?",
845
+ "gt_answer": "it's a good retinal image.",
846
+ "image_path": "Images/DRIMDB/64465d89181a40b3a5e708468885b04f.jpg",
847
+ "option_A": "It's a bad retinal image.",
848
+ "option_B": "It's a outlier retinal image.",
849
+ "option_C": "it's a good retinal image.",
850
+ "modality_type": "Fundus Photography"
851
+ },
852
+ {
853
+ "dataset": "DRIMDB",
854
+ "question_id": "DRIMDB_0070",
855
+ "question_type": "Lesion Grading",
856
+ "question": "What is the specific classification of the image quality in this retinal image?",
857
+ "gt_answer": "it's a good retinal image.",
858
+ "image_path": "Images/DRIMDB/drimdb_good (48).jpg",
859
+ "option_A": "It's a outlier retinal image.",
860
+ "option_B": "It's a bad retinal image.",
861
+ "option_C": "it's a good retinal image.",
862
+ "modality_type": "Fundus Photography"
863
+ },
864
+ {
865
+ "dataset": "DRIMDB",
866
+ "question_id": "DRIMDB_0071",
867
+ "question_type": "Lesion Grading",
868
+ "question": "What classification does this retinal image fall into in terms of image quality?",
869
+ "gt_answer": "it's a good retinal image.",
870
+ "image_path": "Images/DRIMDB/drimdb_good (29).jpg",
871
+ "option_A": "it's a good retinal image.",
872
+ "option_B": "It's a bad retinal image.",
873
+ "option_C": "It's a outlier retinal image.",
874
+ "modality_type": "Fundus Photography"
875
+ },
876
+ {
877
+ "dataset": "DRIMDB",
878
+ "question_id": "DRIMDB_0072",
879
+ "question_type": "Lesion Grading",
880
+ "question": "What is the specific classification of the image quality in the retinal image using a three-class grading system?",
881
+ "gt_answer": "it's a good retinal image.",
882
+ "image_path": "Images/DRIMDB/fb8da7f2a97b40748fa8ff4d5c7656fe.jpg",
883
+ "option_A": "It's a outlier retinal image.",
884
+ "option_B": "It's a bad retinal image.",
885
+ "option_C": "it's a good retinal image.",
886
+ "modality_type": "Fundus Photography"
887
+ },
888
+ {
889
+ "dataset": "DRIMDB",
890
+ "question_id": "DRIMDB_0073",
891
+ "question_type": "Lesion Grading",
892
+ "question": "What is the classification of the image quality of this retinal image using a three-class grading system?",
893
+ "gt_answer": "it's a good retinal image.",
894
+ "image_path": "Images/DRIMDB/5ca7be3a5d2e4fee9debe0196c7eca64_s.jpg",
895
+ "option_A": "it's a good retinal image.",
896
+ "option_B": "It's a outlier retinal image.",
897
+ "option_C": "It's a bad retinal image.",
898
+ "modality_type": "Fundus Photography"
899
+ },
900
+ {
901
+ "dataset": "DRIMDB",
902
+ "question_id": "DRIMDB_0074",
903
+ "question_type": "Lesion Grading",
904
+ "question": "What is the specific grading of the image quality of this retinal image according to the three-class system?",
905
+ "gt_answer": "it's a good retinal image.",
906
+ "image_path": "Images/DRIMDB/1a038e5f6cb441e58443c3678886ea8c.jpg",
907
+ "option_A": "it's a good retinal image.",
908
+ "option_B": "It's a outlier retinal image.",
909
+ "option_C": "It's a bad retinal image.",
910
+ "modality_type": "Fundus Photography"
911
+ },
912
+ {
913
+ "dataset": "DRIMDB",
914
+ "question_id": "DRIMDB_0075",
915
+ "question_type": "Lesion Grading",
916
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
917
+ "gt_answer": "it's a good retinal image.",
918
+ "image_path": "Images/DRIMDB/18c8058455f649c7a114d57719e21a50.jpg",
919
+ "option_A": "It's a bad retinal image.",
920
+ "option_B": "it's a good retinal image.",
921
+ "option_C": "It's a outlier retinal image.",
922
+ "modality_type": "Fundus Photography"
923
+ },
924
+ {
925
+ "dataset": "DRIMDB",
926
+ "question_id": "DRIMDB_0076",
927
+ "question_type": "Lesion Grading",
928
+ "question": "What classification does this image fall under in terms of retinal image quality?",
929
+ "gt_answer": "it's a good retinal image.",
930
+ "image_path": "Images/DRIMDB/caef219acf594ee6b953a23a06e698cd.jpg",
931
+ "option_A": "it's a good retinal image.",
932
+ "option_B": "It's a bad retinal image.",
933
+ "option_C": "It's a outlier retinal image.",
934
+ "modality_type": "Fundus Photography"
935
+ },
936
+ {
937
+ "dataset": "DRIMDB",
938
+ "question_id": "DRIMDB_0077",
939
+ "question_type": "Lesion Grading",
940
+ "question": "What is the classification of the image quality of this retinal image using a three-class grading system?",
941
+ "gt_answer": "it's a good retinal image.",
942
+ "image_path": "Images/DRIMDB/7297890aa53b4b49b1fbf97551881d95_s.jpg",
943
+ "option_A": "It's a bad retinal image.",
944
+ "option_B": "it's a good retinal image.",
945
+ "option_C": "It's a outlier retinal image.",
946
+ "modality_type": "Fundus Photography"
947
+ },
948
+ {
949
+ "dataset": "DRIMDB",
950
+ "question_id": "DRIMDB_0078",
951
+ "question_type": "Lesion Grading",
952
+ "question": "What is the specific retinal image quality classification for this image?",
953
+ "gt_answer": "it's a good retinal image.",
954
+ "image_path": "Images/DRIMDB/09304fb6de054312bafa1ac79f82b0cf.jpg",
955
+ "option_A": "It's a bad retinal image.",
956
+ "option_B": "It's a outlier retinal image.",
957
+ "option_C": "it's a good retinal image.",
958
+ "modality_type": "Fundus Photography"
959
+ },
960
+ {
961
+ "dataset": "DRIMDB",
962
+ "question_id": "DRIMDB_0079",
963
+ "question_type": "Lesion Grading",
964
+ "question": "What is the quality of the retinal image in terms of the three-class grading system (good, bad, and outlier)?",
965
+ "gt_answer": "it's a good retinal image.",
966
+ "image_path": "Images/DRIMDB/drimdb_good (11).jpg",
967
+ "option_A": "It's a bad retinal image.",
968
+ "option_B": "it's a good retinal image.",
969
+ "option_C": "It's a outlier retinal image.",
970
+ "modality_type": "Fundus Photography"
971
+ },
972
+ {
973
+ "dataset": "DRIMDB",
974
+ "question_id": "DRIMDB_0080",
975
+ "question_type": "Lesion Grading",
976
+ "question": "What quality does this retinal image possess according to the three-class grading system?",
977
+ "gt_answer": "it's a good retinal image.",
978
+ "image_path": "Images/DRIMDB/0b49ed42a83e44c495ad7e2dd8838cae.jpg",
979
+ "option_A": "It's a outlier retinal image.",
980
+ "option_B": "It's a bad retinal image.",
981
+ "option_C": "it's a good retinal image.",
982
+ "modality_type": "Fundus Photography"
983
+ },
984
+ {
985
+ "dataset": "DRIMDB",
986
+ "question_id": "DRIMDB_0081",
987
+ "question_type": "Lesion Grading",
988
+ "question": "What is the specific classification of the image quality in this retinal image when using a three-class grading system that includes good, bad, and outlier classes?",
989
+ "gt_answer": "it's a good retinal image.",
990
+ "image_path": "Images/DRIMDB/drimdb_good (95).jpg",
991
+ "option_A": "It's a bad retinal image.",
992
+ "option_B": "it's a good retinal image.",
993
+ "option_C": "It's a outlier retinal image.",
994
+ "modality_type": "Fundus Photography"
995
+ },
996
+ {
997
+ "dataset": "DRIMDB",
998
+ "question_id": "DRIMDB_0082",
999
+ "question_type": "Lesion Grading",
1000
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1001
+ "gt_answer": "it's a good retinal image.",
1002
+ "image_path": "Images/DRIMDB/1a5f385650774c11bbd2861c347c4f8a_s.jpg",
1003
+ "option_A": "it's a good retinal image.",
1004
+ "option_B": "It's a bad retinal image.",
1005
+ "option_C": "It's a outlier retinal image.",
1006
+ "modality_type": "Fundus Photography"
1007
+ },
1008
+ {
1009
+ "dataset": "DRIMDB",
1010
+ "question_id": "DRIMDB_0083",
1011
+ "question_type": "Lesion Grading",
1012
+ "question": "What is the classification of the image quality of this retinal image using the three-class grading system?",
1013
+ "gt_answer": "it's a good retinal image.",
1014
+ "image_path": "Images/DRIMDB/18c8058455f649c7a114d57719e21a50_s.jpg",
1015
+ "option_A": "it's a good retinal image.",
1016
+ "option_B": "It's a outlier retinal image.",
1017
+ "option_C": "It's a bad retinal image.",
1018
+ "modality_type": "Fundus Photography"
1019
+ },
1020
+ {
1021
+ "dataset": "DRIMDB",
1022
+ "question_id": "DRIMDB_0084",
1023
+ "question_type": "Lesion Grading",
1024
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1025
+ "gt_answer": "it's a good retinal image.",
1026
+ "image_path": "Images/DRIMDB/drimdb_good (25).jpg",
1027
+ "option_A": "it's a good retinal image.",
1028
+ "option_B": "It's a outlier retinal image.",
1029
+ "option_C": "It's a bad retinal image.",
1030
+ "modality_type": "Fundus Photography"
1031
+ },
1032
+ {
1033
+ "dataset": "DRIMDB",
1034
+ "question_id": "DRIMDB_0085",
1035
+ "question_type": "Lesion Grading",
1036
+ "question": "What classification does the specific image quality of this retinal image fall under?",
1037
+ "gt_answer": "it's a good retinal image.",
1038
+ "image_path": "Images/DRIMDB/drimdb_good (49).jpg",
1039
+ "option_A": "It's a bad retinal image.",
1040
+ "option_B": "it's a good retinal image.",
1041
+ "option_C": "It's a outlier retinal image.",
1042
+ "modality_type": "Fundus Photography"
1043
+ },
1044
+ {
1045
+ "dataset": "DRIMDB",
1046
+ "question_id": "DRIMDB_0086",
1047
+ "question_type": "Lesion Grading",
1048
+ "question": "What is the classification of the image quality for this retinal image according to the three-class grading system?",
1049
+ "gt_answer": "it's a good retinal image.",
1050
+ "image_path": "Images/DRIMDB/a746fd15b72e462a9d407da25666f8b1_s.jpg",
1051
+ "option_A": "It's a bad retinal image.",
1052
+ "option_B": "It's a outlier retinal image.",
1053
+ "option_C": "it's a good retinal image.",
1054
+ "modality_type": "Fundus Photography"
1055
+ },
1056
+ {
1057
+ "dataset": "DRIMDB",
1058
+ "question_id": "DRIMDB_0087",
1059
+ "question_type": "Lesion Grading",
1060
+ "question": "What is the quality grading of the retinal image in question?",
1061
+ "gt_answer": "it's a good retinal image.",
1062
+ "image_path": "Images/DRIMDB/0b0e63efc27f4dd1a96217379ac7607d_s.jpg",
1063
+ "option_A": "It's a bad retinal image.",
1064
+ "option_B": "it's a good retinal image.",
1065
+ "option_C": "It's a outlier retinal image.",
1066
+ "modality_type": "Fundus Photography"
1067
+ },
1068
+ {
1069
+ "dataset": "DRIMDB",
1070
+ "question_id": "DRIMDB_0088",
1071
+ "question_type": "Lesion Grading",
1072
+ "question": "What specific grade does this retinal image receive in the three-class grading system for image quality assessment?",
1073
+ "gt_answer": "it's a good retinal image.",
1074
+ "image_path": "Images/DRIMDB/6086b53e2ac84458ad59aefe64bf14f4_s.jpg",
1075
+ "option_A": "it's a good retinal image.",
1076
+ "option_B": "It's a outlier retinal image.",
1077
+ "option_C": "It's a bad retinal image.",
1078
+ "modality_type": "Fundus Photography"
1079
+ },
1080
+ {
1081
+ "dataset": "DRIMDB",
1082
+ "question_id": "DRIMDB_0089",
1083
+ "question_type": "Lesion Grading",
1084
+ "question": "What is the classification of the image quality in this retinal image using the three-class grading system?",
1085
+ "gt_answer": "it's a good retinal image.",
1086
+ "image_path": "Images/DRIMDB/dfdd7e2f2c504f1faf668b74048d2ace_s.jpg",
1087
+ "option_A": "It's a outlier retinal image.",
1088
+ "option_B": "It's a bad retinal image.",
1089
+ "option_C": "it's a good retinal image.",
1090
+ "modality_type": "Fundus Photography"
1091
+ },
1092
+ {
1093
+ "dataset": "DRIMDB",
1094
+ "question_id": "DRIMDB_0090",
1095
+ "question_type": "Lesion Grading",
1096
+ "question": "What classification does this retinal image receive based on the three-class grading system?",
1097
+ "gt_answer": "it's a good retinal image.",
1098
+ "image_path": "Images/DRIMDB/d037e329e2be4af89b9f3059aba207eb_s.jpg",
1099
+ "option_A": "It's a bad retinal image.",
1100
+ "option_B": "it's a good retinal image.",
1101
+ "option_C": "It's a outlier retinal image.",
1102
+ "modality_type": "Fundus Photography"
1103
+ },
1104
+ {
1105
+ "dataset": "DRIMDB",
1106
+ "question_id": "DRIMDB_0091",
1107
+ "question_type": "Lesion Grading",
1108
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1109
+ "gt_answer": "it's a good retinal image.",
1110
+ "image_path": "Images/DRIMDB/drimdb_good (104).jpg",
1111
+ "option_A": "It's a bad retinal image.",
1112
+ "option_B": "It's a outlier retinal image.",
1113
+ "option_C": "it's a good retinal image.",
1114
+ "modality_type": "Fundus Photography"
1115
+ },
1116
+ {
1117
+ "dataset": "DRIMDB",
1118
+ "question_id": "DRIMDB_0092",
1119
+ "question_type": "Lesion Grading",
1120
+ "question": "What is the classification of the image quality of this retinal image using a three-class grading system?",
1121
+ "gt_answer": "it's a good retinal image.",
1122
+ "image_path": "Images/DRIMDB/65ff31afdba64e43aeca5eb9e9c33721_s.jpg",
1123
+ "option_A": "it's a good retinal image.",
1124
+ "option_B": "It's a bad retinal image.",
1125
+ "option_C": "It's a outlier retinal image.",
1126
+ "modality_type": "Fundus Photography"
1127
+ },
1128
+ {
1129
+ "dataset": "DRIMDB",
1130
+ "question_id": "DRIMDB_0093",
1131
+ "question_type": "Lesion Grading",
1132
+ "question": "What is the classification of the retinal image quality in this image using a three-class grading system that includes good, bad, and outlier classes?",
1133
+ "gt_answer": "it's a good retinal image.",
1134
+ "image_path": "Images/DRIMDB/30ac17e4d638463f85a3e0da28c652a7_s.jpg",
1135
+ "option_A": "It's a bad retinal image.",
1136
+ "option_B": "it's a good retinal image.",
1137
+ "option_C": "It's a outlier retinal image.",
1138
+ "modality_type": "Fundus Photography"
1139
+ },
1140
+ {
1141
+ "dataset": "DRIMDB",
1142
+ "question_id": "DRIMDB_0094",
1143
+ "question_type": "Lesion Grading",
1144
+ "question": "What is the classification of the image quality of this retinal image within the three-class grading system?",
1145
+ "gt_answer": "it's a good retinal image.",
1146
+ "image_path": "Images/DRIMDB/drimdb_good (18).jpg",
1147
+ "option_A": "It's a bad retinal image.",
1148
+ "option_B": "it's a good retinal image.",
1149
+ "option_C": "It's a outlier retinal image.",
1150
+ "modality_type": "Fundus Photography"
1151
+ },
1152
+ {
1153
+ "dataset": "DRIMDB",
1154
+ "question_id": "DRIMDB_0095",
1155
+ "question_type": "Lesion Grading",
1156
+ "question": "What grading class does the retinal image fall under in terms of image quality?",
1157
+ "gt_answer": "it's a good retinal image.",
1158
+ "image_path": "Images/DRIMDB/4a9ca09b19e34266a133fe46a450518e.jpg",
1159
+ "option_A": "it's a good retinal image.",
1160
+ "option_B": "It's a bad retinal image.",
1161
+ "option_C": "It's a outlier retinal image.",
1162
+ "modality_type": "Fundus Photography"
1163
+ },
1164
+ {
1165
+ "dataset": "DRIMDB",
1166
+ "question_id": "DRIMDB_0096",
1167
+ "question_type": "Lesion Grading",
1168
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1169
+ "gt_answer": "it's a good retinal image.",
1170
+ "image_path": "Images/DRIMDB/87307942bac14ede8266b6dfb2d860ef_s.jpg",
1171
+ "option_A": "it's a good retinal image.",
1172
+ "option_B": "It's a outlier retinal image.",
1173
+ "option_C": "It's a bad retinal image.",
1174
+ "modality_type": "Fundus Photography"
1175
+ },
1176
+ {
1177
+ "dataset": "DRIMDB",
1178
+ "question_id": "DRIMDB_0097",
1179
+ "question_type": "Lesion Grading",
1180
+ "question": "What specific image quality does this retinal image possess when using a three-class grading system consisting of good, bad, and outlier classes?",
1181
+ "gt_answer": "it's a good retinal image.",
1182
+ "image_path": "Images/DRIMDB/57705ac08f3846d4a401c9917bb9d87b.jpg",
1183
+ "option_A": "it's a good retinal image.",
1184
+ "option_B": "It's a outlier retinal image.",
1185
+ "option_C": "It's a bad retinal image.",
1186
+ "modality_type": "Fundus Photography"
1187
+ },
1188
+ {
1189
+ "dataset": "DRIMDB",
1190
+ "question_id": "DRIMDB_0098",
1191
+ "question_type": "Lesion Grading",
1192
+ "question": "What is the classification of the image quality in the retinal image using a three-class grading system consisting of good, bad, and outlier classes?",
1193
+ "gt_answer": "it's a good retinal image.",
1194
+ "image_path": "Images/DRIMDB/553c15b8d6cf48d5a7d1f99d0ade3a83_s.jpg",
1195
+ "option_A": "It's a outlier retinal image.",
1196
+ "option_B": "It's a bad retinal image.",
1197
+ "option_C": "it's a good retinal image.",
1198
+ "modality_type": "Fundus Photography"
1199
+ },
1200
+ {
1201
+ "dataset": "DRIMDB",
1202
+ "question_id": "DRIMDB_0099",
1203
+ "question_type": "Lesion Grading",
1204
+ "question": "What is the classification of the image quality of this retinal image using a three-class grading system that includes good, bad, and outlier classes?",
1205
+ "gt_answer": "it's a good retinal image.",
1206
+ "image_path": "Images/DRIMDB/3c33e6acdb514387bac48b985f409000_s.jpg",
1207
+ "option_A": "It's a bad retinal image.",
1208
+ "option_B": "it's a good retinal image.",
1209
+ "option_C": "It's a outlier retinal image.",
1210
+ "modality_type": "Fundus Photography"
1211
+ },
1212
+ {
1213
+ "dataset": "DRIMDB",
1214
+ "question_id": "DRIMDB_0100",
1215
+ "question_type": "Lesion Grading",
1216
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1217
+ "gt_answer": "it's a good retinal image.",
1218
+ "image_path": "Images/DRIMDB/00692c126de3460b843a53fffcd78284_s.jpg",
1219
+ "option_A": "it's a good retinal image.",
1220
+ "option_B": "It's a bad retinal image.",
1221
+ "option_C": "It's a outlier retinal image.",
1222
+ "modality_type": "Fundus Photography"
1223
+ },
1224
+ {
1225
+ "dataset": "DRIMDB",
1226
+ "question_id": "DRIMDB_0101",
1227
+ "question_type": "Lesion Grading",
1228
+ "question": "What is the assessment of the retinal image quality for this image?",
1229
+ "gt_answer": "it's a good retinal image.",
1230
+ "image_path": "Images/DRIMDB/138708f1994042e483bc25a06ccfa845_s.jpg",
1231
+ "option_A": "It's a outlier retinal image.",
1232
+ "option_B": "it's a good retinal image.",
1233
+ "option_C": "It's a bad retinal image.",
1234
+ "modality_type": "Fundus Photography"
1235
+ },
1236
+ {
1237
+ "dataset": "DRIMDB",
1238
+ "question_id": "DRIMDB_0102",
1239
+ "question_type": "Lesion Grading",
1240
+ "question": "What classification does the retinal image fall under in terms of image quality?",
1241
+ "gt_answer": "it's a good retinal image.",
1242
+ "image_path": "Images/DRIMDB/d3e96cfe5e59411eacf3666c09d27c55.jpg",
1243
+ "option_A": "It's a bad retinal image.",
1244
+ "option_B": "It's a outlier retinal image.",
1245
+ "option_C": "it's a good retinal image.",
1246
+ "modality_type": "Fundus Photography"
1247
+ },
1248
+ {
1249
+ "dataset": "DRIMDB",
1250
+ "question_id": "DRIMDB_0103",
1251
+ "question_type": "Lesion Grading",
1252
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1253
+ "gt_answer": "it's a good retinal image.",
1254
+ "image_path": "Images/DRIMDB/drimdb_good (71).jpg",
1255
+ "option_A": "It's a bad retinal image.",
1256
+ "option_B": "It's a outlier retinal image.",
1257
+ "option_C": "it's a good retinal image.",
1258
+ "modality_type": "Fundus Photography"
1259
+ },
1260
+ {
1261
+ "dataset": "DRIMDB",
1262
+ "question_id": "DRIMDB_0104",
1263
+ "question_type": "Lesion Grading",
1264
+ "question": "What is the classification of the retinal image in terms of image quality?",
1265
+ "gt_answer": "it's a good retinal image.",
1266
+ "image_path": "Images/DRIMDB/drimdb_good (39).jpg",
1267
+ "option_A": "It's a bad retinal image.",
1268
+ "option_B": "It's a outlier retinal image.",
1269
+ "option_C": "it's a good retinal image.",
1270
+ "modality_type": "Fundus Photography"
1271
+ },
1272
+ {
1273
+ "dataset": "DRIMDB",
1274
+ "question_id": "DRIMDB_0105",
1275
+ "question_type": "Lesion Grading",
1276
+ "question": "What is the quality assessment of the retinal image, using a three-class grading system that includes good, bad, and outlier classes?",
1277
+ "gt_answer": "it's a good retinal image.",
1278
+ "image_path": "Images/DRIMDB/drimdb_good (41).jpg",
1279
+ "option_A": "It's a bad retinal image.",
1280
+ "option_B": "it's a good retinal image.",
1281
+ "option_C": "It's a outlier retinal image.",
1282
+ "modality_type": "Fundus Photography"
1283
+ },
1284
+ {
1285
+ "dataset": "DRIMDB",
1286
+ "question_id": "DRIMDB_0106",
1287
+ "question_type": "Lesion Grading",
1288
+ "question": "What is the classification of the retinal image quality in this image using a three-class grading system?",
1289
+ "gt_answer": "it's a good retinal image.",
1290
+ "image_path": "Images/DRIMDB/27273ead65fc4b1091c19912381fce65_s.jpg",
1291
+ "option_A": "it's a good retinal image.",
1292
+ "option_B": "It's a bad retinal image.",
1293
+ "option_C": "It's a outlier retinal image.",
1294
+ "modality_type": "Fundus Photography"
1295
+ },
1296
+ {
1297
+ "dataset": "DRIMDB",
1298
+ "question_id": "DRIMDB_0107",
1299
+ "question_type": "Lesion Grading",
1300
+ "question": "What is the specific classification of the image quality in the retinal image using a three-class grading system consisting of good, bad, and outlier classes?",
1301
+ "gt_answer": "it's a good retinal image.",
1302
+ "image_path": "Images/DRIMDB/de407f1eab3a4966a6bffbc0e9a1284d_s.jpg",
1303
+ "option_A": "it's a good retinal image.",
1304
+ "option_B": "It's a bad retinal image.",
1305
+ "option_C": "It's a outlier retinal image.",
1306
+ "modality_type": "Fundus Photography"
1307
+ },
1308
+ {
1309
+ "dataset": "DRIMDB",
1310
+ "question_id": "DRIMDB_0108",
1311
+ "question_type": "Lesion Grading",
1312
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1313
+ "gt_answer": "it's a good retinal image.",
1314
+ "image_path": "Images/DRIMDB/30012abd1285443b8efea0401dbbc8f9_s.jpg",
1315
+ "option_A": "It's a bad retinal image.",
1316
+ "option_B": "It's a outlier retinal image.",
1317
+ "option_C": "it's a good retinal image.",
1318
+ "modality_type": "Fundus Photography"
1319
+ },
1320
+ {
1321
+ "dataset": "DRIMDB",
1322
+ "question_id": "DRIMDB_0109",
1323
+ "question_type": "Lesion Grading",
1324
+ "question": "What is the classification of the retinal image in terms of image quality?",
1325
+ "gt_answer": "it's a good retinal image.",
1326
+ "image_path": "Images/DRIMDB/drimdb_good (15).jpg",
1327
+ "option_A": "it's a good retinal image.",
1328
+ "option_B": "It's a outlier retinal image.",
1329
+ "option_C": "It's a bad retinal image.",
1330
+ "modality_type": "Fundus Photography"
1331
+ },
1332
+ {
1333
+ "dataset": "DRIMDB",
1334
+ "question_id": "DRIMDB_0110",
1335
+ "question_type": "Lesion Grading",
1336
+ "question": "What is the classification of the retinal image quality in this image according to the three-class grading system?",
1337
+ "gt_answer": "it's a good retinal image.",
1338
+ "image_path": "Images/DRIMDB/74bdf5b01d5f4ce38ae3f6f0a8566f38_s.jpg",
1339
+ "option_A": "It's a outlier retinal image.",
1340
+ "option_B": "It's a bad retinal image.",
1341
+ "option_C": "it's a good retinal image.",
1342
+ "modality_type": "Fundus Photography"
1343
+ },
1344
+ {
1345
+ "dataset": "DRIMDB",
1346
+ "question_id": "DRIMDB_0111",
1347
+ "question_type": "Lesion Grading",
1348
+ "question": "What is the specific classification of the image quality for this retinal image according to the three-class grading system?",
1349
+ "gt_answer": "it's a good retinal image.",
1350
+ "image_path": "Images/DRIMDB/drimdb_good (121).jpg",
1351
+ "option_A": "It's a outlier retinal image.",
1352
+ "option_B": "it's a good retinal image.",
1353
+ "option_C": "It's a bad retinal image.",
1354
+ "modality_type": "Fundus Photography"
1355
+ },
1356
+ {
1357
+ "dataset": "DRIMDB",
1358
+ "question_id": "DRIMDB_0112",
1359
+ "question_type": "Lesion Grading",
1360
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1361
+ "gt_answer": "it's a good retinal image.",
1362
+ "image_path": "Images/DRIMDB/ca590d00215d414e9d3e79272dc03c3c_s.jpg",
1363
+ "option_A": "It's a bad retinal image.",
1364
+ "option_B": "It's a outlier retinal image.",
1365
+ "option_C": "it's a good retinal image.",
1366
+ "modality_type": "Fundus Photography"
1367
+ },
1368
+ {
1369
+ "dataset": "DRIMDB",
1370
+ "question_id": "DRIMDB_0113",
1371
+ "question_type": "Lesion Grading",
1372
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1373
+ "gt_answer": "it's a good retinal image.",
1374
+ "image_path": "Images/DRIMDB/851abdda00004583b6377b2f58544a81.jpg",
1375
+ "option_A": "it's a good retinal image.",
1376
+ "option_B": "It's a outlier retinal image.",
1377
+ "option_C": "It's a bad retinal image.",
1378
+ "modality_type": "Fundus Photography"
1379
+ },
1380
+ {
1381
+ "dataset": "DRIMDB",
1382
+ "question_id": "DRIMDB_0114",
1383
+ "question_type": "Lesion Grading",
1384
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1385
+ "gt_answer": "it's a good retinal image.",
1386
+ "image_path": "Images/DRIMDB/f936626bf18a4180a8d4c1008006ec4f.jpg",
1387
+ "option_A": "It's a bad retinal image.",
1388
+ "option_B": "it's a good retinal image.",
1389
+ "option_C": "It's a outlier retinal image.",
1390
+ "modality_type": "Fundus Photography"
1391
+ },
1392
+ {
1393
+ "dataset": "DRIMDB",
1394
+ "question_id": "DRIMDB_0115",
1395
+ "question_type": "Lesion Grading",
1396
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1397
+ "gt_answer": "it's a good retinal image.",
1398
+ "image_path": "Images/DRIMDB/drimdb_good (52).jpg",
1399
+ "option_A": "it's a good retinal image.",
1400
+ "option_B": "It's a outlier retinal image.",
1401
+ "option_C": "It's a bad retinal image.",
1402
+ "modality_type": "Fundus Photography"
1403
+ },
1404
+ {
1405
+ "dataset": "DRIMDB",
1406
+ "question_id": "DRIMDB_0116",
1407
+ "question_type": "Lesion Grading",
1408
+ "question": "What quality does this retinal image possess according to the three-class grading system?",
1409
+ "gt_answer": "it's a good retinal image.",
1410
+ "image_path": "Images/DRIMDB/87307942bac14ede8266b6dfb2d860ef.jpg",
1411
+ "option_A": "it's a good retinal image.",
1412
+ "option_B": "It's a bad retinal image.",
1413
+ "option_C": "It's a outlier retinal image.",
1414
+ "modality_type": "Fundus Photography"
1415
+ },
1416
+ {
1417
+ "dataset": "DRIMDB",
1418
+ "question_id": "DRIMDB_0117",
1419
+ "question_type": "Lesion Grading",
1420
+ "question": "What type of retinal image quality is represented by this image in the three-class grading system?",
1421
+ "gt_answer": "it's a outlier retinal image.",
1422
+ "image_path": "Images/DRIMDB/a942ddeccbf246a9ab5f6310f4f82640_s.jpg",
1423
+ "option_A": "It's a good retinal image.",
1424
+ "option_B": "It's a bad retinal image.",
1425
+ "option_C": "it's a outlier retinal image.",
1426
+ "modality_type": "Fundus Photography"
1427
+ },
1428
+ {
1429
+ "dataset": "DRIMDB",
1430
+ "question_id": "DRIMDB_0118",
1431
+ "question_type": "Lesion Grading",
1432
+ "question": "What specific classification does this retinal image fall under in terms of image quality grading?",
1433
+ "gt_answer": "it's a outlier retinal image.",
1434
+ "image_path": "Images/DRIMDB/drimdb_outlier (16).jpg",
1435
+ "option_A": "it's a outlier retinal image.",
1436
+ "option_B": "It's a bad retinal image.",
1437
+ "option_C": "It's a good retinal image.",
1438
+ "modality_type": "Fundus Photography"
1439
+ },
1440
+ {
1441
+ "dataset": "DRIMDB",
1442
+ "question_id": "DRIMDB_0119",
1443
+ "question_type": "Lesion Grading",
1444
+ "question": "What classification does this image fall into in terms of retinal image quality?",
1445
+ "gt_answer": "it's a outlier retinal image.",
1446
+ "image_path": "Images/DRIMDB/drimdb_outlier (6).jpg",
1447
+ "option_A": "It's a good retinal image.",
1448
+ "option_B": "It's a bad retinal image.",
1449
+ "option_C": "it's a outlier retinal image.",
1450
+ "modality_type": "Fundus Photography"
1451
+ },
1452
+ {
1453
+ "dataset": "DRIMDB",
1454
+ "question_id": "DRIMDB_0120",
1455
+ "question_type": "Lesion Grading",
1456
+ "question": "What specific classification does this retinal image receive when using a three-class grading system for image quality assessment?",
1457
+ "gt_answer": "it's a outlier retinal image.",
1458
+ "image_path": "Images/DRIMDB/drimdb_outlier (2).jpg",
1459
+ "option_A": "it's a outlier retinal image.",
1460
+ "option_B": "It's a good retinal image.",
1461
+ "option_C": "It's a bad retinal image.",
1462
+ "modality_type": "Fundus Photography"
1463
+ },
1464
+ {
1465
+ "dataset": "DRIMDB",
1466
+ "question_id": "DRIMDB_0121",
1467
+ "question_type": "Lesion Grading",
1468
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1469
+ "gt_answer": "it's a outlier retinal image.",
1470
+ "image_path": "Images/DRIMDB/89eec0c431db4b4cb521a20d0ffc1368.jpg",
1471
+ "option_A": "it's a outlier retinal image.",
1472
+ "option_B": "It's a good retinal image.",
1473
+ "option_C": "It's a bad retinal image.",
1474
+ "modality_type": "Fundus Photography"
1475
+ },
1476
+ {
1477
+ "dataset": "DRIMDB",
1478
+ "question_id": "DRIMDB_0122",
1479
+ "question_type": "Lesion Grading",
1480
+ "question": "What classification does the image quality of this retinal image fall under in the three-class grading system?",
1481
+ "gt_answer": "it's a outlier retinal image.",
1482
+ "image_path": "Images/DRIMDB/91fba1c74535499ca601896ff724a671_s.jpg",
1483
+ "option_A": "It's a bad retinal image.",
1484
+ "option_B": "it's a outlier retinal image.",
1485
+ "option_C": "It's a good retinal image.",
1486
+ "modality_type": "Fundus Photography"
1487
+ },
1488
+ {
1489
+ "dataset": "DRIMDB",
1490
+ "question_id": "DRIMDB_0123",
1491
+ "question_type": "Lesion Grading",
1492
+ "question": "What classification does this retinal image fall into in terms of image quality?",
1493
+ "gt_answer": "it's a outlier retinal image.",
1494
+ "image_path": "Images/DRIMDB/drimdb_outlier (7).jpg",
1495
+ "option_A": "It's a good retinal image.",
1496
+ "option_B": "It's a bad retinal image.",
1497
+ "option_C": "it's a outlier retinal image.",
1498
+ "modality_type": "Fundus Photography"
1499
+ },
1500
+ {
1501
+ "dataset": "DRIMDB",
1502
+ "question_id": "DRIMDB_0124",
1503
+ "question_type": "Lesion Grading",
1504
+ "question": "What classification does the image quality of this retinal image fall under in a three-class grading system?",
1505
+ "gt_answer": "it's a outlier retinal image.",
1506
+ "image_path": "Images/DRIMDB/89eec0c431db4b4cb521a20d0ffc1368_s.jpg",
1507
+ "option_A": "It's a bad retinal image.",
1508
+ "option_B": "It's a good retinal image.",
1509
+ "option_C": "it's a outlier retinal image.",
1510
+ "modality_type": "Fundus Photography"
1511
+ },
1512
+ {
1513
+ "dataset": "DRIMDB",
1514
+ "question_id": "DRIMDB_0125",
1515
+ "question_type": "Lesion Grading",
1516
+ "question": "What class does this retinal image fall into in terms of image quality?",
1517
+ "gt_answer": "it's a outlier retinal image.",
1518
+ "image_path": "Images/DRIMDB/9aa1a40c76d242cfb49b9fd5856a192d_s.jpg",
1519
+ "option_A": "It's a good retinal image.",
1520
+ "option_B": "It's a bad retinal image.",
1521
+ "option_C": "it's a outlier retinal image.",
1522
+ "modality_type": "Fundus Photography"
1523
+ },
1524
+ {
1525
+ "dataset": "DRIMDB",
1526
+ "question_id": "DRIMDB_0126",
1527
+ "question_type": "Lesion Grading",
1528
+ "question": "What classification does this retinal image fall into when using a three-class grading system for image quality assessment?",
1529
+ "gt_answer": "it's a outlier retinal image.",
1530
+ "image_path": "Images/DRIMDB/1e09b1e082e146fb93f4e71e4615b3aa.jpg",
1531
+ "option_A": "It's a bad retinal image.",
1532
+ "option_B": "It's a good retinal image.",
1533
+ "option_C": "it's a outlier retinal image.",
1534
+ "modality_type": "Fundus Photography"
1535
+ },
1536
+ {
1537
+ "dataset": "DRIMDB",
1538
+ "question_id": "DRIMDB_0127",
1539
+ "question_type": "Lesion Grading",
1540
+ "question": "What class does this retinal image belong to, according to the three-class grading system for image quality assessment?",
1541
+ "gt_answer": "it's a outlier retinal image.",
1542
+ "image_path": "Images/DRIMDB/6c2c46a9277443d8a2557f03e5539244.jpg",
1543
+ "option_A": "It's a good retinal image.",
1544
+ "option_B": "It's a bad retinal image.",
1545
+ "option_C": "it's a outlier retinal image.",
1546
+ "modality_type": "Fundus Photography"
1547
+ },
1548
+ {
1549
+ "dataset": "DRIMDB",
1550
+ "question_id": "DRIMDB_0128",
1551
+ "question_type": "Lesion Grading",
1552
+ "question": "Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. if we used a three-class grading system that consists of good, bad, and outlier classes. What specific image quality of in this image?",
1553
+ "gt_answer": "it's a outlier retinal image.",
1554
+ "image_path": "Images/DRIMDB/drimdb_outlier (5).jpg",
1555
+ "option_A": "It's a good retinal image.",
1556
+ "option_B": "it's a outlier retinal image.",
1557
+ "option_C": "It's a bad retinal image.",
1558
+ "modality_type": "Fundus Photography"
1559
+ },
1560
+ {
1561
+ "dataset": "DRIMDB",
1562
+ "question_id": "DRIMDB_0129",
1563
+ "question_type": "Lesion Grading",
1564
+ "question": "What classification does this retinal image fall into in terms of image quality?",
1565
+ "gt_answer": "it's a outlier retinal image.",
1566
+ "image_path": "Images/DRIMDB/0529b383795c4f5dbbcb9a698035de56.jpg",
1567
+ "option_A": "It's a good retinal image.",
1568
+ "option_B": "it's a outlier retinal image.",
1569
+ "option_C": "It's a bad retinal image.",
1570
+ "modality_type": "Fundus Photography"
1571
+ },
1572
+ {
1573
+ "dataset": "DRIMDB",
1574
+ "question_id": "DRIMDB_0130",
1575
+ "question_type": "Lesion Grading",
1576
+ "question": "What classification does this retinal image fall into based on the three-class grading system?",
1577
+ "gt_answer": "it's a outlier retinal image.",
1578
+ "image_path": "Images/DRIMDB/1165f5abc31b45a3b9e8c471fce447f6_s.jpg",
1579
+ "option_A": "it's a outlier retinal image.",
1580
+ "option_B": "It's a bad retinal image.",
1581
+ "option_C": "It's a good retinal image.",
1582
+ "modality_type": "Fundus Photography"
1583
+ },
1584
+ {
1585
+ "dataset": "DRIMDB",
1586
+ "question_id": "DRIMDB_0131",
1587
+ "question_type": "Lesion Grading",
1588
+ "question": "What classification does this retinal image fall into in terms of image quality?",
1589
+ "gt_answer": "it's a outlier retinal image.",
1590
+ "image_path": "Images/DRIMDB/drimdb_outlier (1).jpg",
1591
+ "option_A": "it's a outlier retinal image.",
1592
+ "option_B": "It's a bad retinal image.",
1593
+ "option_C": "It's a good retinal image.",
1594
+ "modality_type": "Fundus Photography"
1595
+ }
1596
+ ]
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1
+ [
2
+ {
3
+ "dataset": "MIAS",
4
+ "question_id": "MIAS_0000",
5
+ "question_type": "Modality Recognition",
6
+ "question": "What imaging technique is employed for capturing this picture?",
7
+ "gt_answer": "Mammography",
8
+ "image_path": "Images/MIAS/mdb209.png",
9
+ "option_A": "CT scan",
10
+ "option_B": "X-ray",
11
+ "option_C": "Mammography",
12
+ "option_D": "PET scan",
13
+ "modality_type": "X-Ray"
14
+ },
15
+ {
16
+ "dataset": "MIAS",
17
+ "question_id": "MIAS_0001",
18
+ "question_type": "Modality Recognition",
19
+ "question": "What imaging technique is utilized to capture this picture?",
20
+ "gt_answer": "Mammography",
21
+ "image_path": "Images/MIAS/mdb084.png",
22
+ "option_A": "X-ray",
23
+ "option_B": "MRI",
24
+ "option_C": "Echocardiogram",
25
+ "option_D": "Mammography",
26
+ "modality_type": "X-Ray"
27
+ },
28
+ {
29
+ "dataset": "MIAS",
30
+ "question_id": "MIAS_0002",
31
+ "question_type": "Modality Recognition",
32
+ "question": "Which imaging technique is employed to capture this image?",
33
+ "gt_answer": "Mammography",
34
+ "image_path": "Images/MIAS/mdb312.png",
35
+ "option_A": "Mammography",
36
+ "option_B": "Electrocardiogram (ECG)",
37
+ "option_C": "Endoscopy",
38
+ "option_D": "MRI",
39
+ "modality_type": "X-Ray"
40
+ },
41
+ {
42
+ "dataset": "MIAS",
43
+ "question_id": "MIAS_0003",
44
+ "question_type": "Modality Recognition",
45
+ "question": "Which imaging technique is utilized to capture this image?",
46
+ "gt_answer": "Mammography",
47
+ "image_path": "Images/MIAS/mdb203.png",
48
+ "option_A": "Electrocardiogram (ECG)",
49
+ "option_B": "Colonoscopy",
50
+ "option_C": "MRI",
51
+ "option_D": "Mammography",
52
+ "modality_type": "X-Ray"
53
+ },
54
+ {
55
+ "dataset": "MIAS",
56
+ "question_id": "MIAS_0004",
57
+ "question_type": "Modality Recognition",
58
+ "question": "What imaging technique is employed to capture this image?",
59
+ "gt_answer": "Mammography",
60
+ "image_path": "Images/MIAS/mdb248.png",
61
+ "option_A": "Mammography",
62
+ "option_B": "CT scan",
63
+ "option_C": "Endoscopy",
64
+ "option_D": "Bone scan",
65
+ "modality_type": "X-Ray"
66
+ },
67
+ {
68
+ "dataset": "MIAS",
69
+ "question_id": "MIAS_0005",
70
+ "question_type": "Modality Recognition",
71
+ "question": "What imaging technique is employed for capturing this picture?",
72
+ "gt_answer": "Mammography",
73
+ "image_path": "Images/MIAS/mdb116.png",
74
+ "option_A": "MRI",
75
+ "option_B": "Echocardiogram",
76
+ "option_C": "Mammography",
77
+ "option_D": "Endoscopy",
78
+ "modality_type": "X-Ray"
79
+ },
80
+ {
81
+ "dataset": "MIAS",
82
+ "question_id": "MIAS_0006",
83
+ "question_type": "Modality Recognition",
84
+ "question": "What imaging technique is utilized to capture this picture?",
85
+ "gt_answer": "Mammography",
86
+ "image_path": "Images/MIAS/mdb105.png",
87
+ "option_A": "Colonoscopy",
88
+ "option_B": "X-ray",
89
+ "option_C": "Mammography",
90
+ "option_D": "CT scan",
91
+ "modality_type": "X-Ray"
92
+ },
93
+ {
94
+ "dataset": "MIAS",
95
+ "question_id": "MIAS_0007",
96
+ "question_type": "Modality Recognition",
97
+ "question": "What modality is used to take this image?",
98
+ "gt_answer": "Mammography",
99
+ "image_path": "Images/MIAS/mdb001.png",
100
+ "option_A": "Endoscopy",
101
+ "option_B": "Mammography",
102
+ "option_C": "Colonoscopy",
103
+ "option_D": "CT scan",
104
+ "modality_type": "X-Ray"
105
+ },
106
+ {
107
+ "dataset": "MIAS",
108
+ "question_id": "MIAS_0008",
109
+ "question_type": "Modality Recognition",
110
+ "question": "What modality is used to take this image?",
111
+ "gt_answer": "Mammography",
112
+ "image_path": "Images/MIAS/mdb151.png",
113
+ "option_A": "Mammography",
114
+ "option_B": "Ultrasound",
115
+ "option_C": "Colonoscopy",
116
+ "option_D": "X-ray",
117
+ "modality_type": "X-Ray"
118
+ },
119
+ {
120
+ "dataset": "MIAS",
121
+ "question_id": "MIAS_0009",
122
+ "question_type": "Modality Recognition",
123
+ "question": "What imaging technique is utilized for capturing this image?",
124
+ "gt_answer": "Mammography",
125
+ "image_path": "Images/MIAS/mdb059.png",
126
+ "option_A": "Mammography",
127
+ "option_B": "Endoscopy",
128
+ "option_C": "Colonoscopy",
129
+ "option_D": "PET scan",
130
+ "modality_type": "X-Ray"
131
+ },
132
+ {
133
+ "dataset": "MIAS",
134
+ "question_id": "MIAS_0010",
135
+ "question_type": "Modality Recognition",
136
+ "question": "What imaging technique is utilized to capture this image?",
137
+ "gt_answer": "Mammography",
138
+ "image_path": "Images/MIAS/mdb104.png",
139
+ "option_A": "Mammography",
140
+ "option_B": "Echocardiogram",
141
+ "option_C": "X-ray",
142
+ "option_D": "CT scan",
143
+ "modality_type": "X-Ray"
144
+ },
145
+ {
146
+ "dataset": "MIAS",
147
+ "question_id": "MIAS_0011",
148
+ "question_type": "Modality Recognition",
149
+ "question": "What modality is used to take this image?",
150
+ "gt_answer": "Mammography",
151
+ "image_path": "Images/MIAS/mdb100.png",
152
+ "option_A": "Mammography",
153
+ "option_B": "X-ray",
154
+ "option_C": "MRI",
155
+ "option_D": "Endoscopy",
156
+ "modality_type": "X-Ray"
157
+ },
158
+ {
159
+ "dataset": "MIAS",
160
+ "question_id": "MIAS_0012",
161
+ "question_type": "Modality Recognition",
162
+ "question": "What diagnostic technique was employed to obtain this image?",
163
+ "gt_answer": "Mammography",
164
+ "image_path": "Images/MIAS/mdb013.png",
165
+ "option_A": "PET scan",
166
+ "option_B": "Endoscopy",
167
+ "option_C": "Echocardiogram",
168
+ "option_D": "Mammography",
169
+ "modality_type": "X-Ray"
170
+ },
171
+ {
172
+ "dataset": "MIAS",
173
+ "question_id": "MIAS_0013",
174
+ "question_type": "Modality Recognition",
175
+ "question": "What modality is used to take this image?",
176
+ "gt_answer": "Mammography",
177
+ "image_path": "Images/MIAS/mdb094.png",
178
+ "option_A": "MRI",
179
+ "option_B": "CT scan",
180
+ "option_C": "Mammography",
181
+ "option_D": "X-ray",
182
+ "modality_type": "X-Ray"
183
+ },
184
+ {
185
+ "dataset": "MIAS",
186
+ "question_id": "MIAS_0014",
187
+ "question_type": "Anatomy Identification",
188
+ "question": "What is depicted in the image?",
189
+ "gt_answer": "Breast tissue",
190
+ "image_path": "Images/MIAS/mdb188.png",
191
+ "option_A": "Bone tissue",
192
+ "option_B": "Breast tissue",
193
+ "option_C": "Muscle tissue",
194
+ "option_D": "Liver tissue",
195
+ "modality_type": "X-Ray"
196
+ },
197
+ {
198
+ "dataset": "MIAS",
199
+ "question_id": "MIAS_0015",
200
+ "question_type": "Anatomy Identification",
201
+ "question": "What content appears in this image?",
202
+ "gt_answer": "Breast tissue",
203
+ "image_path": "Images/MIAS/mdb146.png",
204
+ "option_A": "Cardiac tissue",
205
+ "option_B": "Breast tissue",
206
+ "option_C": "Liver tissue",
207
+ "option_D": "Skin tissue",
208
+ "modality_type": "X-Ray"
209
+ },
210
+ {
211
+ "dataset": "MIAS",
212
+ "question_id": "MIAS_0016",
213
+ "question_type": "Anatomy Identification",
214
+ "question": "What is depicted in the image?",
215
+ "gt_answer": "Breast tissue",
216
+ "image_path": "Images/MIAS/mdb121.png",
217
+ "option_A": "Bone tissue",
218
+ "option_B": "Skin tissue",
219
+ "option_C": "Breast tissue",
220
+ "option_D": "Cardiac tissue",
221
+ "modality_type": "X-Ray"
222
+ },
223
+ {
224
+ "dataset": "MIAS",
225
+ "question_id": "MIAS_0017",
226
+ "question_type": "Anatomy Identification",
227
+ "question": "What content appears in this image?",
228
+ "gt_answer": "Breast tissue",
229
+ "image_path": "Images/MIAS/mdb199.png",
230
+ "option_A": "Brain tissue",
231
+ "option_B": "Breast tissue",
232
+ "option_C": "Liver tissue",
233
+ "option_D": "Cardiac tissue",
234
+ "modality_type": "X-Ray"
235
+ },
236
+ {
237
+ "dataset": "MIAS",
238
+ "question_id": "MIAS_0018",
239
+ "question_type": "Anatomy Identification",
240
+ "question": "What content appears in this image?",
241
+ "gt_answer": "Breast tissue",
242
+ "image_path": "Images/MIAS/mdb003.png",
243
+ "option_A": "Kidney tissue",
244
+ "option_B": "Breast tissue",
245
+ "option_C": "Cardiac tissue",
246
+ "option_D": "Bone tissue",
247
+ "modality_type": "X-Ray"
248
+ },
249
+ {
250
+ "dataset": "MIAS",
251
+ "question_id": "MIAS_0019",
252
+ "question_type": "Anatomy Identification",
253
+ "question": "What content appears in this image?",
254
+ "gt_answer": "Breast tissue",
255
+ "image_path": "Images/MIAS/mdb178.png",
256
+ "option_A": "Liver tissue",
257
+ "option_B": "Skin tissue",
258
+ "option_C": "Lung tissue",
259
+ "option_D": "Breast tissue",
260
+ "modality_type": "X-Ray"
261
+ },
262
+ {
263
+ "dataset": "MIAS",
264
+ "question_id": "MIAS_0020",
265
+ "question_type": "Anatomy Identification",
266
+ "question": "What content appears in this image?",
267
+ "gt_answer": "Breast tissue",
268
+ "image_path": "Images/MIAS/mdb132.png",
269
+ "option_A": "Intestinal tissue",
270
+ "option_B": "Muscle tissue",
271
+ "option_C": "Liver tissue",
272
+ "option_D": "Breast tissue",
273
+ "modality_type": "X-Ray"
274
+ },
275
+ {
276
+ "dataset": "MIAS",
277
+ "question_id": "MIAS_0021",
278
+ "question_type": "Anatomy Identification",
279
+ "question": "What content appears in this image?",
280
+ "gt_answer": "Breast tissue",
281
+ "image_path": "Images/MIAS/mdb286.png",
282
+ "option_A": "Lung tissue",
283
+ "option_B": "Liver tissue",
284
+ "option_C": "Intestinal tissue",
285
+ "option_D": "Breast tissue",
286
+ "modality_type": "X-Ray"
287
+ },
288
+ {
289
+ "dataset": "MIAS",
290
+ "question_id": "MIAS_0022",
291
+ "question_type": "Anatomy Identification",
292
+ "question": "What does this image depict in terms of its content?",
293
+ "gt_answer": "Breast tissue",
294
+ "image_path": "Images/MIAS/mdb209.png",
295
+ "option_A": "Brain tissue",
296
+ "option_B": "Intestinal tissue",
297
+ "option_C": "Kidney tissue",
298
+ "option_D": "Breast tissue",
299
+ "modality_type": "X-Ray"
300
+ },
301
+ {
302
+ "dataset": "MIAS",
303
+ "question_id": "MIAS_0023",
304
+ "question_type": "Anatomy Identification",
305
+ "question": "What content appears in this image?",
306
+ "gt_answer": "Breast tissue",
307
+ "image_path": "Images/MIAS/mdb273.png",
308
+ "option_A": "Breast tissue",
309
+ "option_B": "Brain tissue",
310
+ "option_C": "Bone tissue",
311
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+ "modality_type": "X-Ray"
313
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314
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315
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316
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317
+ "question_type": "Anatomy Identification",
318
+ "question": "What does this image depict?",
319
+ "gt_answer": "Breast tissue",
320
+ "image_path": "Images/MIAS/mdb057.png",
321
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+ "option_B": "Pancreatic tissue",
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+ "option_C": "Breast tissue",
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327
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328
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329
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330
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331
+ "question": "What is depicted in this image?",
332
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333
+ "image_path": "Images/MIAS/mdb099.png",
334
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335
+ "option_B": "Pancreatic tissue",
336
+ "option_C": "Breast tissue",
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339
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340
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341
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342
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343
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344
+ "question": "What content appears in this image?",
345
+ "gt_answer": "Breast tissue",
346
+ "image_path": "Images/MIAS/mdb171.png",
347
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350
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351
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352
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354
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355
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356
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357
+ "question": "What does this image show?",
358
+ "gt_answer": "Breast tissue",
359
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360
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361
+ "option_B": "Breast tissue",
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364
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365
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366
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367
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368
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369
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370
+ "question": "What content appears in this image?",
371
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372
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373
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374
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380
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381
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382
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383
+ "question": "What content appears in this image?",
384
+ "gt_answer": "Breast tissue",
385
+ "image_path": "Images/MIAS/mdb083.png",
386
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387
+ "option_B": "Breast tissue",
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390
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391
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393
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394
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395
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396
+ "question": "What content appears in this image?",
397
+ "gt_answer": "Breast tissue",
398
+ "image_path": "Images/MIAS/mdb058.png",
399
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400
+ "option_B": "Breast tissue",
401
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402
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403
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404
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405
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406
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407
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408
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409
+ "question": "What content appears in this image?",
410
+ "gt_answer": "Breast tissue",
411
+ "image_path": "Images/MIAS/mdb267.png",
412
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413
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414
+ "option_C": "Breast tissue",
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416
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417
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418
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419
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420
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421
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422
+ "question": "What content appears in this image?",
423
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424
+ "image_path": "Images/MIAS/mdb253.png",
425
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430
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432
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+ "question_id": "MIAS_0033",
434
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435
+ "question": "What does this image depict in terms of its content?",
436
+ "gt_answer": "Breast tissue",
437
+ "image_path": "Images/MIAS/mdb221.png",
438
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439
+ "option_B": "Liver tissue",
440
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443
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445
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446
+ "question_id": "MIAS_0034",
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448
+ "question": "What content appears in this image?",
449
+ "gt_answer": "Breast tissue",
450
+ "image_path": "Images/MIAS/mdb118.png",
451
+ "option_A": "Breast tissue",
452
+ "option_B": "Liver tissue",
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456
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458
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+ "question_id": "MIAS_0035",
460
+ "question_type": "Anatomy Identification",
461
+ "question": "What content appears in this image?",
462
+ "gt_answer": "Breast tissue",
463
+ "image_path": "Images/MIAS/mdb084.png",
464
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465
+ "option_B": "Lung tissue",
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+ "option_C": "Breast tissue",
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469
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470
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471
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472
+ "question_id": "MIAS_0036",
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474
+ "question": "What content appears in this image?",
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+ "gt_answer": "Breast tissue",
476
+ "image_path": "Images/MIAS/mdb163.png",
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482
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484
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485
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486
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487
+ "question": "What content appears in this image?",
488
+ "gt_answer": "Breast tissue",
489
+ "image_path": "Images/MIAS/mdb312.png",
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495
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498
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499
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500
+ "question": "What content appears in this image?",
501
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502
+ "image_path": "Images/MIAS/mdb140.png",
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508
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509
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510
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511
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512
+ "question_type": "Anatomy Identification",
513
+ "question": "What is present in this picture?",
514
+ "gt_answer": "Breast tissue",
515
+ "image_path": "Images/MIAS/mdb152.png",
516
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521
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522
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523
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524
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526
+ "question": "What content appears in this image?",
527
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528
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529
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531
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534
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537
+ "question_id": "MIAS_0041",
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+ "question_type": "Anatomy Identification",
539
+ "question": "What content appears in this image?",
540
+ "gt_answer": "Breast tissue",
541
+ "image_path": "Images/MIAS/mdb114.png",
542
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547
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+ {
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550
+ "question_id": "MIAS_0042",
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552
+ "question": "What is depicted in this image?",
553
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+ {
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+ "question_id": "MIAS_0043",
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+ "question_type": "Anatomy Identification",
565
+ "question": "What content appears in this image?",
566
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567
+ "image_path": "Images/MIAS/mdb131.png",
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+ "option_A": "Breast tissue",
569
+ "option_B": "Bone tissue",
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573
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+ {
575
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578
+ "question": "What content appears in this image?",
579
+ "gt_answer": "Breast tissue",
580
+ "image_path": "Images/MIAS/mdb214.png",
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+ "option_B": "Pancreatic tissue",
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+ "option_D": "Breast tissue",
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+ "question_type": "Anatomy Identification",
591
+ "question": "What content appears in this image?",
592
+ "gt_answer": "Breast tissue",
593
+ "image_path": "Images/MIAS/mdb248.png",
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+ "option_A": "Liver tissue",
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+ "option_C": "Breast tissue",
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601
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602
+ "question_id": "MIAS_0046",
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+ "question_type": "Anatomy Identification",
604
+ "question": "What does this image show?",
605
+ "gt_answer": "Breast tissue",
606
+ "image_path": "Images/MIAS/mdb116.png",
607
+ "option_A": "Lung tissue",
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+ "option_B": "Breast tissue",
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+ {
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615
+ "question_id": "MIAS_0047",
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617
+ "question": "What content appears in this image?",
618
+ "gt_answer": "Breast tissue",
619
+ "image_path": "Images/MIAS/mdb189.png",
620
+ "option_A": "Breast tissue",
621
+ "option_B": "Pancreatic tissue",
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623
+ "option_D": "Muscle tissue",
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625
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+ {
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628
+ "question_id": "MIAS_0048",
629
+ "question_type": "Anatomy Identification",
630
+ "question": "What content appears in this image?",
631
+ "gt_answer": "Breast tissue",
632
+ "image_path": "Images/MIAS/mdb089.png",
633
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+ "option_B": "Pancreatic tissue",
635
+ "option_C": "Breast tissue",
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638
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640
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641
+ "question_id": "MIAS_0049",
642
+ "question_type": "Anatomy Identification",
643
+ "question": "What content appears in this image?",
644
+ "gt_answer": "Breast tissue",
645
+ "image_path": "Images/MIAS/mdb258.png",
646
+ "option_A": "Skin tissue",
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+ "option_B": "Intestinal tissue",
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+ "option_C": "Bone tissue",
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+ "option_D": "Breast tissue",
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651
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+ {
653
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655
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656
+ "question": "What content appears in this image?",
657
+ "gt_answer": "Breast tissue",
658
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659
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662
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664
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665
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667
+ "question_id": "MIAS_0051",
668
+ "question_type": "Anatomy Identification",
669
+ "question": "What content appears in this image?",
670
+ "gt_answer": "Breast tissue",
671
+ "image_path": "Images/MIAS/mdb095.png",
672
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673
+ "option_B": "Breast tissue",
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+ {
679
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+ "question_id": "MIAS_0052",
681
+ "question_type": "Anatomy Identification",
682
+ "question": "What is present in this picture?",
683
+ "gt_answer": "Breast tissue",
684
+ "image_path": "Images/MIAS/mdb288.png",
685
+ "option_A": "Muscle tissue",
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+ "option_B": "Breast tissue",
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+ "option_C": "Bone tissue",
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+ "option_D": "Lung tissue",
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690
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691
+ {
692
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693
+ "question_id": "MIAS_0053",
694
+ "question_type": "Anatomy Identification",
695
+ "question": "What content appears in this image?",
696
+ "gt_answer": "Breast tissue",
697
+ "image_path": "Images/MIAS/mdb105.png",
698
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699
+ "option_B": "Breast tissue",
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+ "option_C": "Intestinal tissue",
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+ "option_D": "Bone tissue",
702
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703
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704
+ {
705
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706
+ "question_id": "MIAS_0054",
707
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708
+ "question": "What content appears in this image?",
709
+ "gt_answer": "Breast tissue",
710
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711
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712
+ "option_B": "Brain tissue",
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716
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719
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720
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721
+ "question": "What does this image depict?",
722
+ "gt_answer": "Breast tissue",
723
+ "image_path": "Images/MIAS/mdb133.png",
724
+ "option_A": "Kidney tissue",
725
+ "option_B": "Breast tissue",
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+ "option_C": "Skin tissue",
727
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729
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+ {
731
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732
+ "question_id": "MIAS_0056",
733
+ "question_type": "Anatomy Identification",
734
+ "question": "What does the image depict?",
735
+ "gt_answer": "Breast tissue",
736
+ "image_path": "Images/MIAS/mdb151.png",
737
+ "option_A": "Breast tissue",
738
+ "option_B": "Bone tissue",
739
+ "option_C": "Cardiac tissue",
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+ "option_D": "Muscle tissue",
741
+ "modality_type": "X-Ray"
742
+ },
743
+ {
744
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745
+ "question_id": "MIAS_0057",
746
+ "question_type": "Anatomy Identification",
747
+ "question": "What content appears in this image?",
748
+ "gt_answer": "Breast tissue",
749
+ "image_path": "Images/MIAS/mdb148.png",
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+ "option_B": "Breast tissue",
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+ "option_C": "Intestinal tissue",
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+ "option_D": "Liver tissue",
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755
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+ {
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+ "question_id": "MIAS_0058",
759
+ "question_type": "Anatomy Identification",
760
+ "question": "What does this image depict?",
761
+ "gt_answer": "Breast tissue",
762
+ "image_path": "Images/MIAS/mdb059.png",
763
+ "option_A": "Breast tissue",
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+ "option_B": "Muscle tissue",
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770
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771
+ "question_id": "MIAS_0059",
772
+ "question_type": "Anatomy Identification",
773
+ "question": "What content appears in this image?",
774
+ "gt_answer": "Breast tissue",
775
+ "image_path": "Images/MIAS/mdb044.png",
776
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+ "option_B": "Intestinal tissue",
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+ "option_C": "Breast tissue",
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+ "option_D": "Pancreatic tissue",
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+ {
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784
+ "question_id": "MIAS_0060",
785
+ "question_type": "Anatomy Identification",
786
+ "question": "What content appears in this image?",
787
+ "gt_answer": "Breast tissue",
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+ "image_path": "Images/MIAS/mdb053.png",
789
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+ "option_B": "Bone tissue",
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+ "option_D": "Brain tissue",
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794
+ },
795
+ {
796
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+ "question_id": "MIAS_0061",
798
+ "question_type": "Anatomy Identification",
799
+ "question": "What does this image display?",
800
+ "gt_answer": "Breast tissue",
801
+ "image_path": "Images/MIAS/mdb051.png",
802
+ "option_A": "Pancreatic tissue",
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+ "option_B": "Breast tissue",
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+ "option_D": "Brain tissue",
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807
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808
+ {
809
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810
+ "question_id": "MIAS_0062",
811
+ "question_type": "Anatomy Identification",
812
+ "question": "What content appears in this image?",
813
+ "gt_answer": "Breast tissue",
814
+ "image_path": "Images/MIAS/mdb285.png",
815
+ "option_A": "Kidney tissue",
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+ "option_B": "Muscle tissue",
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+ "option_C": "Pancreatic tissue",
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+ "option_D": "Breast tissue",
819
+ "modality_type": "X-Ray"
820
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821
+ {
822
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823
+ "question_id": "MIAS_0063",
824
+ "question_type": "Anatomy Identification",
825
+ "question": "What is shown in the image?",
826
+ "gt_answer": "Breast tissue",
827
+ "image_path": "Images/MIAS/mdb309.png",
828
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+ "option_B": "Brain tissue",
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+ "option_C": "Pancreatic tissue",
831
+ "option_D": "Breast tissue",
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+ "modality_type": "X-Ray"
833
+ },
834
+ {
835
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836
+ "question_id": "MIAS_0064",
837
+ "question_type": "Anatomy Identification",
838
+ "question": "What is shown in this image?",
839
+ "gt_answer": "Breast tissue",
840
+ "image_path": "Images/MIAS/mdb104.png",
841
+ "option_A": "Liver tissue",
842
+ "option_B": "Muscle tissue",
843
+ "option_C": "Breast tissue",
844
+ "option_D": "Kidney tissue",
845
+ "modality_type": "X-Ray"
846
+ },
847
+ {
848
+ "dataset": "MIAS",
849
+ "question_id": "MIAS_0065",
850
+ "question_type": "Anatomy Identification",
851
+ "question": "What is depicted in the image?",
852
+ "gt_answer": "Breast tissue",
853
+ "image_path": "Images/MIAS/mdb033.png",
854
+ "option_A": "Cardiac tissue",
855
+ "option_B": "Breast tissue",
856
+ "option_C": "Brain tissue",
857
+ "option_D": "Muscle tissue",
858
+ "modality_type": "X-Ray"
859
+ },
860
+ {
861
+ "dataset": "MIAS",
862
+ "question_id": "MIAS_0066",
863
+ "question_type": "Anatomy Identification",
864
+ "question": "What does this image contain?",
865
+ "gt_answer": "Breast tissue",
866
+ "image_path": "Images/MIAS/mdb283.png",
867
+ "option_A": "Breast tissue",
868
+ "option_B": "Lung tissue",
869
+ "option_C": "Cardiac tissue",
870
+ "option_D": "Intestinal tissue",
871
+ "modality_type": "X-Ray"
872
+ },
873
+ {
874
+ "dataset": "MIAS",
875
+ "question_id": "MIAS_0067",
876
+ "question_type": "Anatomy Identification",
877
+ "question": "What is depicted in this image?",
878
+ "gt_answer": "Breast tissue",
879
+ "image_path": "Images/MIAS/mdb100.png",
880
+ "option_A": "Intestinal tissue",
881
+ "option_B": "Bone tissue",
882
+ "option_C": "Brain tissue",
883
+ "option_D": "Breast tissue",
884
+ "modality_type": "X-Ray"
885
+ },
886
+ {
887
+ "dataset": "MIAS",
888
+ "question_id": "MIAS_0068",
889
+ "question_type": "Anatomy Identification",
890
+ "question": "What is the content depicted in this image?",
891
+ "gt_answer": "Breast tissue",
892
+ "image_path": "Images/MIAS/mdb013.png",
893
+ "option_A": "Cardiac tissue",
894
+ "option_B": "Breast tissue",
895
+ "option_C": "Kidney tissue",
896
+ "option_D": "Liver tissue",
897
+ "modality_type": "X-Ray"
898
+ },
899
+ {
900
+ "dataset": "MIAS",
901
+ "question_id": "MIAS_0069",
902
+ "question_type": "Anatomy Identification",
903
+ "question": "What content appears in this image?",
904
+ "gt_answer": "Breast tissue",
905
+ "image_path": "Images/MIAS/mdb166.png",
906
+ "option_A": "Cardiac tissue",
907
+ "option_B": "Skin tissue",
908
+ "option_C": "Bone tissue",
909
+ "option_D": "Breast tissue",
910
+ "modality_type": "X-Ray"
911
+ },
912
+ {
913
+ "dataset": "MIAS",
914
+ "question_id": "MIAS_0070",
915
+ "question_type": "Anatomy Identification",
916
+ "question": "What content appears in this image?",
917
+ "gt_answer": "Breast tissue",
918
+ "image_path": "Images/MIAS/mdb281.png",
919
+ "option_A": "Muscle tissue",
920
+ "option_B": "Breast tissue",
921
+ "option_C": "Liver tissue",
922
+ "option_D": "Intestinal tissue",
923
+ "modality_type": "X-Ray"
924
+ },
925
+ {
926
+ "dataset": "MIAS",
927
+ "question_id": "MIAS_0071",
928
+ "question_type": "Anatomy Identification",
929
+ "question": "What content appears in this image?",
930
+ "gt_answer": "Breast tissue",
931
+ "image_path": "Images/MIAS/mdb313.png",
932
+ "option_A": "Skin tissue",
933
+ "option_B": "Muscle tissue",
934
+ "option_C": "Breast tissue",
935
+ "option_D": "Cardiac tissue",
936
+ "modality_type": "X-Ray"
937
+ },
938
+ {
939
+ "dataset": "MIAS",
940
+ "question_id": "MIAS_0072",
941
+ "question_type": "Anatomy Identification",
942
+ "question": "What content appears in this image?",
943
+ "gt_answer": "Breast tissue",
944
+ "image_path": "Images/MIAS/mdb228.png",
945
+ "option_A": "Cardiac tissue",
946
+ "option_B": "Kidney tissue",
947
+ "option_C": "Lung tissue",
948
+ "option_D": "Breast tissue",
949
+ "modality_type": "X-Ray"
950
+ },
951
+ {
952
+ "dataset": "MIAS",
953
+ "question_id": "MIAS_0073",
954
+ "question_type": "Anatomy Identification",
955
+ "question": "What content appears in this image?",
956
+ "gt_answer": "Breast tissue",
957
+ "image_path": "Images/MIAS/mdb027.png",
958
+ "option_A": "Skin tissue",
959
+ "option_B": "Muscle tissue",
960
+ "option_C": "Liver tissue",
961
+ "option_D": "Breast tissue",
962
+ "modality_type": "X-Ray"
963
+ },
964
+ {
965
+ "dataset": "MIAS",
966
+ "question_id": "MIAS_0074",
967
+ "question_type": "Anatomy Identification",
968
+ "question": "What content appears in this image?",
969
+ "gt_answer": "Breast tissue",
970
+ "image_path": "Images/MIAS/mdb094.png",
971
+ "option_A": "Muscle tissue",
972
+ "option_B": "Liver tissue",
973
+ "option_C": "Brain tissue",
974
+ "option_D": "Breast tissue",
975
+ "modality_type": "X-Ray"
976
+ },
977
+ {
978
+ "dataset": "MIAS",
979
+ "question_id": "MIAS_0075",
980
+ "question_type": "Anatomy Identification",
981
+ "question": "What content appears in this image?",
982
+ "gt_answer": "Breast tissue",
983
+ "image_path": "Images/MIAS/mdb201.png",
984
+ "option_A": "Breast tissue",
985
+ "option_B": "Cardiac tissue",
986
+ "option_C": "Lung tissue",
987
+ "option_D": "Skin tissue",
988
+ "modality_type": "X-Ray"
989
+ },
990
+ {
991
+ "dataset": "MIAS",
992
+ "question_id": "MIAS_0076",
993
+ "question_type": "Anatomy Identification",
994
+ "question": "What is shown in the image?",
995
+ "gt_answer": "Breast tissue",
996
+ "image_path": "Images/MIAS/mdb272.png",
997
+ "option_A": "Breast tissue",
998
+ "option_B": "Liver tissue",
999
+ "option_C": "Cardiac tissue",
1000
+ "option_D": "Lung tissue",
1001
+ "modality_type": "X-Ray"
1002
+ },
1003
+ {
1004
+ "dataset": "MIAS",
1005
+ "question_id": "MIAS_0077",
1006
+ "question_type": "Disease Diagnosis",
1007
+ "question": "What type of abnormality is depicted in this image?",
1008
+ "gt_answer": "Well-defined/circumscribed masses",
1009
+ "image_path": "Images/MIAS/mdb132.png",
1010
+ "option_A": "Well-defined/circumscribed masses",
1011
+ "option_B": "Unbounded/unrestricted masses",
1012
+ "option_C": "Amorphous shape masses",
1013
+ "option_D": "Inconsistent/unsteady masses",
1014
+ "modality_type": "X-Ray"
1015
+ },
1016
+ {
1017
+ "dataset": "MIAS",
1018
+ "question_id": "MIAS_0078",
1019
+ "question_type": "Disease Diagnosis",
1020
+ "question": "What type of abnormality is depicted in this image?",
1021
+ "gt_answer": "Well-defined/circumscribed masses",
1022
+ "image_path": "Images/MIAS/mdb001.png",
1023
+ "option_A": "Scattered/sprinkled lesions",
1024
+ "option_B": "Well-defined/circumscribed masses",
1025
+ "option_C": "Unbounded/unrestricted masses",
1026
+ "option_D": "Amorphous shape masses",
1027
+ "modality_type": "X-Ray"
1028
+ },
1029
+ {
1030
+ "dataset": "MIAS",
1031
+ "question_id": "MIAS_0079",
1032
+ "question_type": "Disease Diagnosis",
1033
+ "question": "What type of abnormality is depicted in this image?",
1034
+ "gt_answer": "Well-defined/circumscribed masses",
1035
+ "image_path": "Images/MIAS/mdb059.png",
1036
+ "option_A": "Ill-defined/indistinct masses",
1037
+ "option_B": "Unbounded/unrestricted masses",
1038
+ "option_C": "Well-defined/circumscribed masses",
1039
+ "option_D": "Inconsistent/unsteady masses",
1040
+ "modality_type": "X-Ray"
1041
+ },
1042
+ {
1043
+ "dataset": "MIAS",
1044
+ "question_id": "MIAS_0080",
1045
+ "question_type": "Disease Diagnosis",
1046
+ "question": "What type of abnormality is depicted in this image?",
1047
+ "gt_answer": "No, It's normal",
1048
+ "image_path": "Images/MIAS/mdb146.png",
1049
+ "option_A": "No, It's normal",
1050
+ "option_B": "Vascular anomaly",
1051
+ "option_C": "A tumor",
1052
+ "option_D": "Metastasis",
1053
+ "modality_type": "X-Ray"
1054
+ },
1055
+ {
1056
+ "dataset": "MIAS",
1057
+ "question_id": "MIAS_0081",
1058
+ "question_type": "Disease Diagnosis",
1059
+ "question": "What type of abnormality is depicted in this image?",
1060
+ "gt_answer": "No, It's normal",
1061
+ "image_path": "Images/MIAS/mdb003.png",
1062
+ "option_A": "Fracture",
1063
+ "option_B": "No, It's normal",
1064
+ "option_C": "Genetic mutation",
1065
+ "option_D": "A tumor",
1066
+ "modality_type": "X-Ray"
1067
+ },
1068
+ {
1069
+ "dataset": "MIAS",
1070
+ "question_id": "MIAS_0082",
1071
+ "question_type": "Disease Diagnosis",
1072
+ "question": "What kind of abnormal findings can be seen in the picture?",
1073
+ "gt_answer": "No, It's normal",
1074
+ "image_path": "Images/MIAS/mdb286.png",
1075
+ "option_A": "Autoimmune disorder",
1076
+ "option_B": "Genetic mutation",
1077
+ "option_C": "No, It's normal",
1078
+ "option_D": "Vascular anomaly",
1079
+ "modality_type": "X-Ray"
1080
+ },
1081
+ {
1082
+ "dataset": "MIAS",
1083
+ "question_id": "MIAS_0083",
1084
+ "question_type": "Disease Diagnosis",
1085
+ "question": "What type of abnormality is depicted in this image?",
1086
+ "gt_answer": "No, It's normal",
1087
+ "image_path": "Images/MIAS/mdb273.png",
1088
+ "option_A": "Vascular anomaly",
1089
+ "option_B": "Genetic mutation",
1090
+ "option_C": "Metastasis",
1091
+ "option_D": "No, It's normal",
1092
+ "modality_type": "X-Ray"
1093
+ },
1094
+ {
1095
+ "dataset": "MIAS",
1096
+ "question_id": "MIAS_0084",
1097
+ "question_type": "Disease Diagnosis",
1098
+ "question": "What type of abnormality is depicted in this image?",
1099
+ "gt_answer": "No, It's normal",
1100
+ "image_path": "Images/MIAS/mdb057.png",
1101
+ "option_A": "Autoimmune disorder",
1102
+ "option_B": "Vascular anomaly",
1103
+ "option_C": "Metastasis",
1104
+ "option_D": "No, It's normal",
1105
+ "modality_type": "X-Ray"
1106
+ },
1107
+ {
1108
+ "dataset": "MIAS",
1109
+ "question_id": "MIAS_0085",
1110
+ "question_type": "Disease Diagnosis",
1111
+ "question": "What type of abnormality is depicted in this image?",
1112
+ "gt_answer": "No, It's normal",
1113
+ "image_path": "Images/MIAS/mdb294.png",
1114
+ "option_A": "Infection",
1115
+ "option_B": "No, It's normal",
1116
+ "option_C": "Genetic mutation",
1117
+ "option_D": "Congenital defect",
1118
+ "modality_type": "X-Ray"
1119
+ },
1120
+ {
1121
+ "dataset": "MIAS",
1122
+ "question_id": "MIAS_0086",
1123
+ "question_type": "Disease Diagnosis",
1124
+ "question": "What type of abnormality is depicted in this image?",
1125
+ "gt_answer": "No, It's normal",
1126
+ "image_path": "Images/MIAS/mdb196.png",
1127
+ "option_A": "No, It's normal",
1128
+ "option_B": "Degenerative disease",
1129
+ "option_C": "Congenital defect",
1130
+ "option_D": "Genetic mutation",
1131
+ "modality_type": "X-Ray"
1132
+ },
1133
+ {
1134
+ "dataset": "MIAS",
1135
+ "question_id": "MIAS_0087",
1136
+ "question_type": "Disease Diagnosis",
1137
+ "question": "What type of abnormality is depicted in this image?",
1138
+ "gt_answer": "No, It's normal",
1139
+ "image_path": "Images/MIAS/mdb221.png",
1140
+ "option_A": "No, It's normal",
1141
+ "option_B": "Infection",
1142
+ "option_C": "Congenital defect",
1143
+ "option_D": "Fracture",
1144
+ "modality_type": "X-Ray"
1145
+ },
1146
+ {
1147
+ "dataset": "MIAS",
1148
+ "question_id": "MIAS_0088",
1149
+ "question_type": "Disease Diagnosis",
1150
+ "question": "What type of abnormality is depicted in this image?",
1151
+ "gt_answer": "No, It's normal",
1152
+ "image_path": "Images/MIAS/mdb118.png",
1153
+ "option_A": "A tumor",
1154
+ "option_B": "Infection",
1155
+ "option_C": "No, It's normal",
1156
+ "option_D": "Autoimmune disorder",
1157
+ "modality_type": "X-Ray"
1158
+ },
1159
+ {
1160
+ "dataset": "MIAS",
1161
+ "question_id": "MIAS_0089",
1162
+ "question_type": "Disease Diagnosis",
1163
+ "question": "What type of abnormality is depicted in this image?",
1164
+ "gt_answer": "No, It's normal",
1165
+ "image_path": "Images/MIAS/mdb084.png",
1166
+ "option_A": "Degenerative disease",
1167
+ "option_B": "Genetic mutation",
1168
+ "option_C": "No, It's normal",
1169
+ "option_D": "Congenital defect",
1170
+ "modality_type": "X-Ray"
1171
+ },
1172
+ {
1173
+ "dataset": "MIAS",
1174
+ "question_id": "MIAS_0090",
1175
+ "question_type": "Disease Diagnosis",
1176
+ "question": "What type of abnormality is depicted in this image?",
1177
+ "gt_answer": "No, It's normal",
1178
+ "image_path": "Images/MIAS/mdb140.png",
1179
+ "option_A": "Metastasis",
1180
+ "option_B": "Congenital defect",
1181
+ "option_C": "Inflammation",
1182
+ "option_D": "No, It's normal",
1183
+ "modality_type": "X-Ray"
1184
+ },
1185
+ {
1186
+ "dataset": "MIAS",
1187
+ "question_id": "MIAS_0091",
1188
+ "question_type": "Disease Diagnosis",
1189
+ "question": "What type of abnormality is depicted in this image?",
1190
+ "gt_answer": "No, It's normal",
1191
+ "image_path": "Images/MIAS/mdb203.png",
1192
+ "option_A": "Autoimmune disorder",
1193
+ "option_B": "Infection",
1194
+ "option_C": "No, It's normal",
1195
+ "option_D": "Degenerative disease",
1196
+ "modality_type": "X-Ray"
1197
+ },
1198
+ {
1199
+ "dataset": "MIAS",
1200
+ "question_id": "MIAS_0092",
1201
+ "question_type": "Disease Diagnosis",
1202
+ "question": "What type of abnormality is depicted in this image?",
1203
+ "gt_answer": "No, It's normal",
1204
+ "image_path": "Images/MIAS/mdb114.png",
1205
+ "option_A": "Fracture",
1206
+ "option_B": "No, It's normal",
1207
+ "option_C": "A tumor",
1208
+ "option_D": "Genetic mutation",
1209
+ "modality_type": "X-Ray"
1210
+ },
1211
+ {
1212
+ "dataset": "MIAS",
1213
+ "question_id": "MIAS_0093",
1214
+ "question_type": "Disease Diagnosis",
1215
+ "question": "What type of abnormality is depicted in this image?",
1216
+ "gt_answer": "No, It's normal",
1217
+ "image_path": "Images/MIAS/mdb308.png",
1218
+ "option_A": "Genetic mutation",
1219
+ "option_B": "Infection",
1220
+ "option_C": "Autoimmune disorder",
1221
+ "option_D": "No, It's normal",
1222
+ "modality_type": "X-Ray"
1223
+ },
1224
+ {
1225
+ "dataset": "MIAS",
1226
+ "question_id": "MIAS_0094",
1227
+ "question_type": "Disease Diagnosis",
1228
+ "question": "What type of abnormality is depicted in this image?",
1229
+ "gt_answer": "No, It's normal",
1230
+ "image_path": "Images/MIAS/mdb131.png",
1231
+ "option_A": "No, It's normal",
1232
+ "option_B": "Congenital defect",
1233
+ "option_C": "A tumor",
1234
+ "option_D": "Infection",
1235
+ "modality_type": "X-Ray"
1236
+ },
1237
+ {
1238
+ "dataset": "MIAS",
1239
+ "question_id": "MIAS_0095",
1240
+ "question_type": "Disease Diagnosis",
1241
+ "question": "What type of abnormality is depicted in this image?",
1242
+ "gt_answer": "No, It's normal",
1243
+ "image_path": "Images/MIAS/mdb116.png",
1244
+ "option_A": "Inflammation",
1245
+ "option_B": "Vascular anomaly",
1246
+ "option_C": "No, It's normal",
1247
+ "option_D": "Degenerative disease",
1248
+ "modality_type": "X-Ray"
1249
+ },
1250
+ {
1251
+ "dataset": "MIAS",
1252
+ "question_id": "MIAS_0096",
1253
+ "question_type": "Disease Diagnosis",
1254
+ "question": "What type of abnormality is depicted in this image?",
1255
+ "gt_answer": "No, It's normal",
1256
+ "image_path": "Images/MIAS/mdb189.png",
1257
+ "option_A": "Autoimmune disorder",
1258
+ "option_B": "No, It's normal",
1259
+ "option_C": "Inflammation",
1260
+ "option_D": "Fracture",
1261
+ "modality_type": "X-Ray"
1262
+ },
1263
+ {
1264
+ "dataset": "MIAS",
1265
+ "question_id": "MIAS_0097",
1266
+ "question_type": "Disease Diagnosis",
1267
+ "question": "What type of abnormality is depicted in this image?",
1268
+ "gt_answer": "No, It's normal",
1269
+ "image_path": "Images/MIAS/mdb089.png",
1270
+ "option_A": "No, It's normal",
1271
+ "option_B": "Genetic mutation",
1272
+ "option_C": "Autoimmune disorder",
1273
+ "option_D": "Vascular anomaly",
1274
+ "modality_type": "X-Ray"
1275
+ },
1276
+ {
1277
+ "dataset": "MIAS",
1278
+ "question_id": "MIAS_0098",
1279
+ "question_type": "Disease Diagnosis",
1280
+ "question": "What type of abnormality is depicted in this image?",
1281
+ "gt_answer": "No, It's normal",
1282
+ "image_path": "Images/MIAS/mdb258.png",
1283
+ "option_A": "No, It's normal",
1284
+ "option_B": "Degenerative disease",
1285
+ "option_C": "Congenital defect",
1286
+ "option_D": "Metastasis",
1287
+ "modality_type": "X-Ray"
1288
+ },
1289
+ {
1290
+ "dataset": "MIAS",
1291
+ "question_id": "MIAS_0099",
1292
+ "question_type": "Disease Diagnosis",
1293
+ "question": "What type of abnormality is depicted in this image?",
1294
+ "gt_answer": "No, It's normal",
1295
+ "image_path": "Images/MIAS/mdb301.png",
1296
+ "option_A": "Infection",
1297
+ "option_B": "No, It's normal",
1298
+ "option_C": "Vascular anomaly",
1299
+ "option_D": "Degenerative disease",
1300
+ "modality_type": "X-Ray"
1301
+ },
1302
+ {
1303
+ "dataset": "MIAS",
1304
+ "question_id": "MIAS_0100",
1305
+ "question_type": "Disease Diagnosis",
1306
+ "question": "What type of abnormality is depicted in this image?",
1307
+ "gt_answer": "No, It's normal",
1308
+ "image_path": "Images/MIAS/mdb288.png",
1309
+ "option_A": "No, It's normal",
1310
+ "option_B": "Inflammation",
1311
+ "option_C": "Fracture",
1312
+ "option_D": "Vascular anomaly",
1313
+ "modality_type": "X-Ray"
1314
+ },
1315
+ {
1316
+ "dataset": "MIAS",
1317
+ "question_id": "MIAS_0101",
1318
+ "question_type": "Disease Diagnosis",
1319
+ "question": "What type of abnormality is depicted in this image?",
1320
+ "gt_answer": "No, It's normal",
1321
+ "image_path": "Images/MIAS/mdb133.png",
1322
+ "option_A": "Congenital defect",
1323
+ "option_B": "Autoimmune disorder",
1324
+ "option_C": "Inflammation",
1325
+ "option_D": "No, It's normal",
1326
+ "modality_type": "X-Ray"
1327
+ },
1328
+ {
1329
+ "dataset": "MIAS",
1330
+ "question_id": "MIAS_0102",
1331
+ "question_type": "Disease Diagnosis",
1332
+ "question": "What type of abnormality is depicted in this image?",
1333
+ "gt_answer": "No, It's normal",
1334
+ "image_path": "Images/MIAS/mdb151.png",
1335
+ "option_A": "Autoimmune disorder",
1336
+ "option_B": "Degenerative disease",
1337
+ "option_C": "No, It's normal",
1338
+ "option_D": "Fracture",
1339
+ "modality_type": "X-Ray"
1340
+ },
1341
+ {
1342
+ "dataset": "MIAS",
1343
+ "question_id": "MIAS_0103",
1344
+ "question_type": "Disease Diagnosis",
1345
+ "question": "What type of abnormality is depicted in this image?",
1346
+ "gt_answer": "No, It's normal",
1347
+ "image_path": "Images/MIAS/mdb044.png",
1348
+ "option_A": "No, It's normal",
1349
+ "option_B": "Infection",
1350
+ "option_C": "Vascular anomaly",
1351
+ "option_D": "A tumor",
1352
+ "modality_type": "X-Ray"
1353
+ },
1354
+ {
1355
+ "dataset": "MIAS",
1356
+ "question_id": "MIAS_0104",
1357
+ "question_type": "Disease Diagnosis",
1358
+ "question": "What type of abnormality is depicted in this image?",
1359
+ "gt_answer": "No, It's normal",
1360
+ "image_path": "Images/MIAS/mdb053.png",
1361
+ "option_A": "No, It's normal",
1362
+ "option_B": "Genetic mutation",
1363
+ "option_C": "Infection",
1364
+ "option_D": "Autoimmune disorder",
1365
+ "modality_type": "X-Ray"
1366
+ },
1367
+ {
1368
+ "dataset": "MIAS",
1369
+ "question_id": "MIAS_0105",
1370
+ "question_type": "Disease Diagnosis",
1371
+ "question": "What type of abnormality is depicted in this image?",
1372
+ "gt_answer": "No, It's normal",
1373
+ "image_path": "Images/MIAS/mdb051.png",
1374
+ "option_A": "No, It's normal",
1375
+ "option_B": "Vascular anomaly",
1376
+ "option_C": "A tumor",
1377
+ "option_D": "Congenital defect",
1378
+ "modality_type": "X-Ray"
1379
+ },
1380
+ {
1381
+ "dataset": "MIAS",
1382
+ "question_id": "MIAS_0106",
1383
+ "question_type": "Disease Diagnosis",
1384
+ "question": "What type of abnormality is depicted in this image?",
1385
+ "gt_answer": "No, It's normal",
1386
+ "image_path": "Images/MIAS/mdb285.png",
1387
+ "option_A": "Inflammation",
1388
+ "option_B": "Genetic mutation",
1389
+ "option_C": "No, It's normal",
1390
+ "option_D": "Infection",
1391
+ "modality_type": "X-Ray"
1392
+ },
1393
+ {
1394
+ "dataset": "MIAS",
1395
+ "question_id": "MIAS_0107",
1396
+ "question_type": "Disease Diagnosis",
1397
+ "question": "What type of abnormality is depicted in this image?",
1398
+ "gt_answer": "No, It's normal",
1399
+ "image_path": "Images/MIAS/mdb309.png",
1400
+ "option_A": "Infection",
1401
+ "option_B": "No, It's normal",
1402
+ "option_C": "Fracture",
1403
+ "option_D": "Congenital defect",
1404
+ "modality_type": "X-Ray"
1405
+ },
1406
+ {
1407
+ "dataset": "MIAS",
1408
+ "question_id": "MIAS_0108",
1409
+ "question_type": "Disease Diagnosis",
1410
+ "question": "What type of abnormality is depicted in this image?",
1411
+ "gt_answer": "No, It's normal",
1412
+ "image_path": "Images/MIAS/mdb033.png",
1413
+ "option_A": "No, It's normal",
1414
+ "option_B": "Metastasis",
1415
+ "option_C": "Infection",
1416
+ "option_D": "Inflammation",
1417
+ "modality_type": "X-Ray"
1418
+ },
1419
+ {
1420
+ "dataset": "MIAS",
1421
+ "question_id": "MIAS_0109",
1422
+ "question_type": "Disease Diagnosis",
1423
+ "question": "What type of abnormality is depicted in this image?",
1424
+ "gt_answer": "No, It's normal",
1425
+ "image_path": "Images/MIAS/mdb283.png",
1426
+ "option_A": "Genetic mutation",
1427
+ "option_B": "No, It's normal",
1428
+ "option_C": "Infection",
1429
+ "option_D": "Autoimmune disorder",
1430
+ "modality_type": "X-Ray"
1431
+ },
1432
+ {
1433
+ "dataset": "MIAS",
1434
+ "question_id": "MIAS_0110",
1435
+ "question_type": "Disease Diagnosis",
1436
+ "question": "What type of abnormality is depicted in this image?",
1437
+ "gt_answer": "No, It's normal",
1438
+ "image_path": "Images/MIAS/mdb100.png",
1439
+ "option_A": "Inflammation",
1440
+ "option_B": "Vascular anomaly",
1441
+ "option_C": "Fracture",
1442
+ "option_D": "No, It's normal",
1443
+ "modality_type": "X-Ray"
1444
+ },
1445
+ {
1446
+ "dataset": "MIAS",
1447
+ "question_id": "MIAS_0111",
1448
+ "question_type": "Disease Diagnosis",
1449
+ "question": "What type of abnormality is depicted in this image?",
1450
+ "gt_answer": "No, It's normal",
1451
+ "image_path": "Images/MIAS/mdb166.png",
1452
+ "option_A": "Vascular anomaly",
1453
+ "option_B": "No, It's normal",
1454
+ "option_C": "Infection",
1455
+ "option_D": "Degenerative disease",
1456
+ "modality_type": "X-Ray"
1457
+ },
1458
+ {
1459
+ "dataset": "MIAS",
1460
+ "question_id": "MIAS_0112",
1461
+ "question_type": "Disease Diagnosis",
1462
+ "question": "What type of abnormality is depicted in this image?",
1463
+ "gt_answer": "No, It's normal",
1464
+ "image_path": "Images/MIAS/mdb281.png",
1465
+ "option_A": "Autoimmune disorder",
1466
+ "option_B": "Congenital defect",
1467
+ "option_C": "No, It's normal",
1468
+ "option_D": "Genetic mutation",
1469
+ "modality_type": "X-Ray"
1470
+ },
1471
+ {
1472
+ "dataset": "MIAS",
1473
+ "question_id": "MIAS_0113",
1474
+ "question_type": "Disease Diagnosis",
1475
+ "question": "What type of abnormality is depicted in this image?",
1476
+ "gt_answer": "No, It's normal",
1477
+ "image_path": "Images/MIAS/mdb313.png",
1478
+ "option_A": "Genetic mutation",
1479
+ "option_B": "No, It's normal",
1480
+ "option_C": "Infection",
1481
+ "option_D": "Metastasis",
1482
+ "modality_type": "X-Ray"
1483
+ },
1484
+ {
1485
+ "dataset": "MIAS",
1486
+ "question_id": "MIAS_0114",
1487
+ "question_type": "Disease Diagnosis",
1488
+ "question": "What type of abnormality is depicted in this image?",
1489
+ "gt_answer": "No, It's normal",
1490
+ "image_path": "Images/MIAS/mdb228.png",
1491
+ "option_A": "Autoimmune disorder",
1492
+ "option_B": "A tumor",
1493
+ "option_C": "No, It's normal",
1494
+ "option_D": "Fracture",
1495
+ "modality_type": "X-Ray"
1496
+ },
1497
+ {
1498
+ "dataset": "MIAS",
1499
+ "question_id": "MIAS_0115",
1500
+ "question_type": "Disease Diagnosis",
1501
+ "question": "What type of abnormality is depicted in this image?",
1502
+ "gt_answer": "No, It's normal",
1503
+ "image_path": "Images/MIAS/mdb027.png",
1504
+ "option_A": "Congenital defect",
1505
+ "option_B": "Infection",
1506
+ "option_C": "No, It's normal",
1507
+ "option_D": "Metastasis",
1508
+ "modality_type": "X-Ray"
1509
+ },
1510
+ {
1511
+ "dataset": "MIAS",
1512
+ "question_id": "MIAS_0116",
1513
+ "question_type": "Disease Diagnosis",
1514
+ "question": "What does this image depict in terms of abnormality?",
1515
+ "gt_answer": "No, It's normal",
1516
+ "image_path": "Images/MIAS/mdb094.png",
1517
+ "option_A": "Congenital defect",
1518
+ "option_B": "Genetic mutation",
1519
+ "option_C": "Vascular anomaly",
1520
+ "option_D": "No, It's normal",
1521
+ "modality_type": "X-Ray"
1522
+ },
1523
+ {
1524
+ "dataset": "MIAS",
1525
+ "question_id": "MIAS_0117",
1526
+ "question_type": "Disease Diagnosis",
1527
+ "question": "What type of abnormality is depicted in this image?",
1528
+ "gt_answer": "No, It's normal",
1529
+ "image_path": "Images/MIAS/mdb201.png",
1530
+ "option_A": "Congenital defect",
1531
+ "option_B": "No, It's normal",
1532
+ "option_C": "Degenerative disease",
1533
+ "option_D": "Vascular anomaly",
1534
+ "modality_type": "X-Ray"
1535
+ },
1536
+ {
1537
+ "dataset": "MIAS",
1538
+ "question_id": "MIAS_0118",
1539
+ "question_type": "Disease Diagnosis",
1540
+ "question": "What type of abnormality is depicted in this image?",
1541
+ "gt_answer": "No, It's normal",
1542
+ "image_path": "Images/MIAS/mdb272.png",
1543
+ "option_A": "No, It's normal",
1544
+ "option_B": "Autoimmune disorder",
1545
+ "option_C": "Vascular anomaly",
1546
+ "option_D": "Infection",
1547
+ "modality_type": "X-Ray"
1548
+ },
1549
+ {
1550
+ "dataset": "MIAS",
1551
+ "question_id": "MIAS_0119",
1552
+ "question_type": "Disease Diagnosis",
1553
+ "question": "What type of abnormality is depicted in this image?",
1554
+ "gt_answer": "Other, ill-defined masses",
1555
+ "image_path": "Images/MIAS/mdb058.png",
1556
+ "option_A": "Other, ill-defined masses",
1557
+ "option_B": "Benign tumors",
1558
+ "option_C": "Malignant tumors",
1559
+ "option_D": "Inflammatory nodules",
1560
+ "modality_type": "X-Ray"
1561
+ },
1562
+ {
1563
+ "dataset": "MIAS",
1564
+ "question_id": "MIAS_0120",
1565
+ "question_type": "Disease Diagnosis",
1566
+ "question": "What type of abnormality is depicted in this image?",
1567
+ "gt_answer": "Other, ill-defined masses",
1568
+ "image_path": "Images/MIAS/mdb267.png",
1569
+ "option_A": "Other, ill-defined masses",
1570
+ "option_B": "Cystic lesions",
1571
+ "option_C": "Normal anatomical structures",
1572
+ "option_D": "Malignant tumors",
1573
+ "modality_type": "X-Ray"
1574
+ },
1575
+ {
1576
+ "dataset": "MIAS",
1577
+ "question_id": "MIAS_0121",
1578
+ "question_type": "Disease Diagnosis",
1579
+ "question": "What is the nature of the depicted abnormality in this image?",
1580
+ "gt_answer": "Other, ill-defined masses",
1581
+ "image_path": "Images/MIAS/mdb312.png",
1582
+ "option_A": "Malignant tumors",
1583
+ "option_B": "Other, ill-defined masses",
1584
+ "option_C": "Benign tumors",
1585
+ "option_D": "Normal anatomical structures",
1586
+ "modality_type": "X-Ray"
1587
+ },
1588
+ {
1589
+ "dataset": "MIAS",
1590
+ "question_id": "MIAS_0122",
1591
+ "question_type": "Disease Diagnosis",
1592
+ "question": "What type of abnormality is depicted in this image?",
1593
+ "gt_answer": "Other, ill-defined masses",
1594
+ "image_path": "Images/MIAS/mdb013.png",
1595
+ "option_A": "Other, ill-defined masses",
1596
+ "option_B": "Benign tumors",
1597
+ "option_C": "Malignant tumors",
1598
+ "option_D": "Inflammatory nodules",
1599
+ "modality_type": "X-Ray"
1600
+ },
1601
+ {
1602
+ "dataset": "MIAS",
1603
+ "question_id": "MIAS_0123",
1604
+ "question_type": "Disease Diagnosis",
1605
+ "question": "What type of abnormality is depicted in this image?",
1606
+ "gt_answer": "Asymmetry",
1607
+ "image_path": "Images/MIAS/mdb099.png",
1608
+ "option_A": "Uniformity",
1609
+ "option_B": "Equanimity",
1610
+ "option_C": "Asymmetry",
1611
+ "option_D": "Congruity",
1612
+ "modality_type": "X-Ray"
1613
+ },
1614
+ {
1615
+ "dataset": "MIAS",
1616
+ "question_id": "MIAS_0124",
1617
+ "question_type": "Disease Diagnosis",
1618
+ "question": "What type of abnormality is depicted in this image?",
1619
+ "gt_answer": "Asymmetry",
1620
+ "image_path": "Images/MIAS/mdb083.png",
1621
+ "option_A": "Asymmetry",
1622
+ "option_B": "Symmetry",
1623
+ "option_C": "Equanimity",
1624
+ "option_D": "Bilaterality",
1625
+ "modality_type": "X-Ray"
1626
+ },
1627
+ {
1628
+ "dataset": "MIAS",
1629
+ "question_id": "MIAS_0125",
1630
+ "question_type": "Disease Diagnosis",
1631
+ "question": "What type of abnormality is depicted in this image?",
1632
+ "gt_answer": "Asymmetry",
1633
+ "image_path": "Images/MIAS/mdb095.png",
1634
+ "option_A": "Similitude",
1635
+ "option_B": "Consistency",
1636
+ "option_C": "Asymmetry",
1637
+ "option_D": "Coherence",
1638
+ "modality_type": "X-Ray"
1639
+ },
1640
+ {
1641
+ "dataset": "MIAS",
1642
+ "question_id": "MIAS_0126",
1643
+ "question_type": "Disease Diagnosis",
1644
+ "question": "What type of abnormality is depicted in this image?",
1645
+ "gt_answer": "Asymmetry",
1646
+ "image_path": "Images/MIAS/mdb105.png",
1647
+ "option_A": "Discoloration",
1648
+ "option_B": "Absence",
1649
+ "option_C": "Asymmetry",
1650
+ "option_D": "Symmetry",
1651
+ "modality_type": "X-Ray"
1652
+ },
1653
+ {
1654
+ "dataset": "MIAS",
1655
+ "question_id": "MIAS_0127",
1656
+ "question_type": "Disease Diagnosis",
1657
+ "question": "What type of abnormality is depicted in this image?",
1658
+ "gt_answer": "Asymmetry",
1659
+ "image_path": "Images/MIAS/mdb104.png",
1660
+ "option_A": "Equanimity",
1661
+ "option_B": "Uniformity",
1662
+ "option_C": "Asymmetry",
1663
+ "option_D": "Absence",
1664
+ "modality_type": "X-Ray"
1665
+ },
1666
+ {
1667
+ "dataset": "MIAS",
1668
+ "question_id": "MIAS_0128",
1669
+ "question_type": "Disease Diagnosis",
1670
+ "question": "What is the term used to describe the anomaly shown in this image?",
1671
+ "gt_answer": "Architectural distortion",
1672
+ "image_path": "Images/MIAS/mdb121.png",
1673
+ "option_A": "Architectural distortion",
1674
+ "option_B": "Organ dysfunction",
1675
+ "option_C": "Cellular mutation",
1676
+ "option_D": "Inflammatory response",
1677
+ "modality_type": "X-Ray"
1678
+ },
1679
+ {
1680
+ "dataset": "MIAS",
1681
+ "question_id": "MIAS_0129",
1682
+ "question_type": "Disease Diagnosis",
1683
+ "question": "What is the depicted abnormality in this image?",
1684
+ "gt_answer": "Architectural distortion",
1685
+ "image_path": "Images/MIAS/mdb167.png",
1686
+ "option_A": "Inflammatory response",
1687
+ "option_B": "Neurological impairment",
1688
+ "option_C": "Immune system disruption",
1689
+ "option_D": "Architectural distortion",
1690
+ "modality_type": "X-Ray"
1691
+ },
1692
+ {
1693
+ "dataset": "MIAS",
1694
+ "question_id": "MIAS_0130",
1695
+ "question_type": "Disease Diagnosis",
1696
+ "question": "What is the term used to describe the anomaly shown in this image?",
1697
+ "gt_answer": "Architectural distortion",
1698
+ "image_path": "Images/MIAS/mdb171.png",
1699
+ "option_A": "Tissue necrosis",
1700
+ "option_B": "Hormonal irregularity",
1701
+ "option_C": "Architectural distortion",
1702
+ "option_D": "Immune system disruption",
1703
+ "modality_type": "X-Ray"
1704
+ },
1705
+ {
1706
+ "dataset": "MIAS",
1707
+ "question_id": "MIAS_0131",
1708
+ "question_type": "Disease Diagnosis",
1709
+ "question": "What term describes the anomaly shown in this image?",
1710
+ "gt_answer": "Architectural distortion",
1711
+ "image_path": "Images/MIAS/mdb160.png",
1712
+ "option_A": "Genetic aberration",
1713
+ "option_B": "Tissue necrosis",
1714
+ "option_C": "Architectural distortion",
1715
+ "option_D": "Cellular mutation",
1716
+ "modality_type": "X-Ray"
1717
+ },
1718
+ {
1719
+ "dataset": "MIAS",
1720
+ "question_id": "MIAS_0132",
1721
+ "question_type": "Disease Diagnosis",
1722
+ "question": "Which term describes the anomaly shown in this image?",
1723
+ "gt_answer": "Architectural distortion",
1724
+ "image_path": "Images/MIAS/mdb163.png",
1725
+ "option_A": "Metabolic imbalance",
1726
+ "option_B": "Vascular anomaly",
1727
+ "option_C": "Genetic aberration",
1728
+ "option_D": "Architectural distortion",
1729
+ "modality_type": "X-Ray"
1730
+ },
1731
+ {
1732
+ "dataset": "MIAS",
1733
+ "question_id": "MIAS_0133",
1734
+ "question_type": "Disease Diagnosis",
1735
+ "question": "What type of abnormality is depicted in this image?",
1736
+ "gt_answer": "Architectural distortion",
1737
+ "image_path": "Images/MIAS/mdb152.png",
1738
+ "option_A": "Architectural distortion",
1739
+ "option_B": "Tissue necrosis",
1740
+ "option_C": "Inflammatory response",
1741
+ "option_D": "Hormonal irregularity",
1742
+ "modality_type": "X-Ray"
1743
+ },
1744
+ {
1745
+ "dataset": "MIAS",
1746
+ "question_id": "MIAS_0134",
1747
+ "question_type": "Disease Diagnosis",
1748
+ "question": "What type of abnormality is depicted in this image?",
1749
+ "gt_answer": "Spiculated masses",
1750
+ "image_path": "Images/MIAS/mdb188.png",
1751
+ "option_A": "Spiculated masses",
1752
+ "option_B": "Metastatic tumors",
1753
+ "option_C": "Scar tissue formations",
1754
+ "option_D": "Cystic lesions",
1755
+ "modality_type": "X-Ray"
1756
+ },
1757
+ {
1758
+ "dataset": "MIAS",
1759
+ "question_id": "MIAS_0135",
1760
+ "question_type": "Disease Diagnosis",
1761
+ "question": "What type of abnormality is depicted in this image?",
1762
+ "gt_answer": "Spiculated masses",
1763
+ "image_path": "Images/MIAS/mdb199.png",
1764
+ "option_A": "Smooth tumors",
1765
+ "option_B": "Fibrous nodules",
1766
+ "option_C": "Spiculated masses",
1767
+ "option_D": "Calcified nodules",
1768
+ "modality_type": "X-Ray"
1769
+ },
1770
+ {
1771
+ "dataset": "MIAS",
1772
+ "question_id": "MIAS_0136",
1773
+ "question_type": "Disease Diagnosis",
1774
+ "question": "What type of abnormality is depicted in this image?",
1775
+ "gt_answer": "Spiculated masses",
1776
+ "image_path": "Images/MIAS/mdb178.png",
1777
+ "option_A": "Normal tissue patterns",
1778
+ "option_B": "Calcified nodules",
1779
+ "option_C": "Inflammatory masses",
1780
+ "option_D": "Spiculated masses",
1781
+ "modality_type": "X-Ray"
1782
+ },
1783
+ {
1784
+ "dataset": "MIAS",
1785
+ "question_id": "MIAS_0137",
1786
+ "question_type": "Disease Diagnosis",
1787
+ "question": "What is the term used to describe the abnormality shown in this image?",
1788
+ "gt_answer": "Spiculated masses",
1789
+ "image_path": "Images/MIAS/mdb148.png",
1790
+ "option_A": "Cystic lesions",
1791
+ "option_B": "Metastatic tumors",
1792
+ "option_C": "Benign growths",
1793
+ "option_D": "Spiculated masses",
1794
+ "modality_type": "X-Ray"
1795
+ },
1796
+ {
1797
+ "dataset": "MIAS",
1798
+ "question_id": "MIAS_0138",
1799
+ "question_type": "Disease Diagnosis",
1800
+ "question": "What is the depicted abnormality in this image?",
1801
+ "gt_answer": "Calcification",
1802
+ "image_path": "Images/MIAS/mdb209.png",
1803
+ "option_A": "Calcification",
1804
+ "option_B": "Hypertrophy",
1805
+ "option_C": "Apoptosis",
1806
+ "option_D": "Necrosis",
1807
+ "modality_type": "X-Ray"
1808
+ },
1809
+ {
1810
+ "dataset": "MIAS",
1811
+ "question_id": "MIAS_0139",
1812
+ "question_type": "Disease Diagnosis",
1813
+ "question": "What is the depicted abnormality in this image?",
1814
+ "gt_answer": "Calcification",
1815
+ "image_path": "Images/MIAS/mdb253.png",
1816
+ "option_A": "Necrosis",
1817
+ "option_B": "Hypertrophy",
1818
+ "option_C": "Calcification",
1819
+ "option_D": "Fibrosis",
1820
+ "modality_type": "X-Ray"
1821
+ },
1822
+ {
1823
+ "dataset": "MIAS",
1824
+ "question_id": "MIAS_0140",
1825
+ "question_type": "Disease Diagnosis",
1826
+ "question": "What is the depicted abnormality in this image?",
1827
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+ "option_D": "Scarlet fever",
325
+ "modality_type": "Dermoscopy"
326
+ },
327
+ {
328
+ "dataset": "Monkeypox Skin Image 2022",
329
+ "question_id": "Monkeypox Skin Image 2022_0025",
330
+ "question_type": "Disease Diagnosis",
331
+ "question": "What is the specific condition being depicted in this image?",
332
+ "gt_answer": "Chickenpox",
333
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0021.jpg",
334
+ "option_A": "Chickenpox",
335
+ "option_B": "Measles",
336
+ "option_C": "Influenza",
337
+ "option_D": "Smallpox",
338
+ "modality_type": "Dermoscopy"
339
+ },
340
+ {
341
+ "dataset": "Monkeypox Skin Image 2022",
342
+ "question_id": "Monkeypox Skin Image 2022_0026",
343
+ "question_type": "Disease Diagnosis",
344
+ "question": "What specific abnormality is present in this image?",
345
+ "gt_answer": "Chickenpox",
346
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0176.jpg",
347
+ "option_A": "Hand, foot, and mouth disease",
348
+ "option_B": "Dengue fever",
349
+ "option_C": "Rubella",
350
+ "option_D": "Chickenpox",
351
+ "modality_type": "Dermoscopy"
352
+ },
353
+ {
354
+ "dataset": "Monkeypox Skin Image 2022",
355
+ "question_id": "Monkeypox Skin Image 2022_0027",
356
+ "question_type": "Disease Diagnosis",
357
+ "question": "What is the particular abnormality depicted in this image?",
358
+ "gt_answer": "Chickenpox",
359
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0111.jpg",
360
+ "option_A": "Rubella",
361
+ "option_B": "German measles",
362
+ "option_C": "Chickenpox",
363
+ "option_D": "Measles",
364
+ "modality_type": "Dermoscopy"
365
+ },
366
+ {
367
+ "dataset": "Monkeypox Skin Image 2022",
368
+ "question_id": "Monkeypox Skin Image 2022_0028",
369
+ "question_type": "Disease Diagnosis",
370
+ "question": "What specific abnormality is present in this image?",
371
+ "gt_answer": "Chickenpox",
372
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0030.jpg",
373
+ "option_A": "Influenza",
374
+ "option_B": "Dengue fever",
375
+ "option_C": "Scarlet fever",
376
+ "option_D": "Chickenpox",
377
+ "modality_type": "Dermoscopy"
378
+ },
379
+ {
380
+ "dataset": "Monkeypox Skin Image 2022",
381
+ "question_id": "Monkeypox Skin Image 2022_0029",
382
+ "question_type": "Disease Diagnosis",
383
+ "question": "What is the specific condition being depicted in this image?",
384
+ "gt_answer": "Chickenpox",
385
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0156.jpg",
386
+ "option_A": "Mumps",
387
+ "option_B": "Chickenpox",
388
+ "option_C": "Measles",
389
+ "option_D": "Smallpox",
390
+ "modality_type": "Dermoscopy"
391
+ },
392
+ {
393
+ "dataset": "Monkeypox Skin Image 2022",
394
+ "question_id": "Monkeypox Skin Image 2022_0030",
395
+ "question_type": "Disease Diagnosis",
396
+ "question": "What is the specific condition depicted in this image?",
397
+ "gt_answer": "Chickenpox",
398
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0062.jpg",
399
+ "option_A": "German measles",
400
+ "option_B": "Chickenpox",
401
+ "option_C": "Measles",
402
+ "option_D": "Smallpox",
403
+ "modality_type": "Dermoscopy"
404
+ },
405
+ {
406
+ "dataset": "Monkeypox Skin Image 2022",
407
+ "question_id": "Monkeypox Skin Image 2022_0031",
408
+ "question_type": "Disease Diagnosis",
409
+ "question": "What is the specific condition being depicted in this image?",
410
+ "gt_answer": "Chickenpox",
411
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0159.jpg",
412
+ "option_A": "Hand, foot, and mouth disease",
413
+ "option_B": "Smallpox",
414
+ "option_C": "Rubella",
415
+ "option_D": "Chickenpox",
416
+ "modality_type": "Dermoscopy"
417
+ },
418
+ {
419
+ "dataset": "Monkeypox Skin Image 2022",
420
+ "question_id": "Monkeypox Skin Image 2022_0032",
421
+ "question_type": "Disease Diagnosis",
422
+ "question": "What is the particular condition depicted in this image?",
423
+ "gt_answer": "Chickenpox",
424
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0117.jpg",
425
+ "option_A": "Influenza",
426
+ "option_B": "German measles",
427
+ "option_C": "Dengue fever",
428
+ "option_D": "Chickenpox",
429
+ "modality_type": "Dermoscopy"
430
+ },
431
+ {
432
+ "dataset": "Monkeypox Skin Image 2022",
433
+ "question_id": "Monkeypox Skin Image 2022_0033",
434
+ "question_type": "Disease Diagnosis",
435
+ "question": "What is the specific condition shown in this image?",
436
+ "gt_answer": "Chickenpox",
437
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0003.jpg",
438
+ "option_A": "Hand, foot, and mouth disease",
439
+ "option_B": "Scarlet fever",
440
+ "option_C": "Chickenpox",
441
+ "option_D": "Fifth disease",
442
+ "modality_type": "Dermoscopy"
443
+ },
444
+ {
445
+ "dataset": "Monkeypox Skin Image 2022",
446
+ "question_id": "Monkeypox Skin Image 2022_0034",
447
+ "question_type": "Disease Diagnosis",
448
+ "question": "What is the specific condition featured in this image?",
449
+ "gt_answer": "Chickenpox",
450
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0104.jpg",
451
+ "option_A": "Chickenpox",
452
+ "option_B": "Influenza",
453
+ "option_C": "Measles",
454
+ "option_D": "Fifth disease",
455
+ "modality_type": "Dermoscopy"
456
+ },
457
+ {
458
+ "dataset": "Monkeypox Skin Image 2022",
459
+ "question_id": "Monkeypox Skin Image 2022_0035",
460
+ "question_type": "Disease Diagnosis",
461
+ "question": "What is the identified condition in this image?",
462
+ "gt_answer": "Chickenpox",
463
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0113.jpg",
464
+ "option_A": "Measles",
465
+ "option_B": "German measles",
466
+ "option_C": "Chickenpox",
467
+ "option_D": "Influenza",
468
+ "modality_type": "Dermoscopy"
469
+ },
470
+ {
471
+ "dataset": "Monkeypox Skin Image 2022",
472
+ "question_id": "Monkeypox Skin Image 2022_0036",
473
+ "question_type": "Disease Diagnosis",
474
+ "question": "What is the specific condition depicted in this image?",
475
+ "gt_answer": "Chickenpox",
476
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0060.jpg",
477
+ "option_A": "Rubella",
478
+ "option_B": "Dengue fever",
479
+ "option_C": "Chickenpox",
480
+ "option_D": "Scarlet fever",
481
+ "modality_type": "Dermoscopy"
482
+ },
483
+ {
484
+ "dataset": "Monkeypox Skin Image 2022",
485
+ "question_id": "Monkeypox Skin Image 2022_0037",
486
+ "question_type": "Disease Diagnosis",
487
+ "question": "What is the specific condition depicted in this image?",
488
+ "gt_answer": "Chickenpox",
489
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0172.jpg",
490
+ "option_A": "Chickenpox",
491
+ "option_B": "Fifth disease",
492
+ "option_C": "Measles",
493
+ "option_D": "Influenza",
494
+ "modality_type": "Dermoscopy"
495
+ },
496
+ {
497
+ "dataset": "Monkeypox Skin Image 2022",
498
+ "question_id": "Monkeypox Skin Image 2022_0038",
499
+ "question_type": "Disease Diagnosis",
500
+ "question": "What specific abnormality is present in this image?",
501
+ "gt_answer": "Chickenpox",
502
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0175.jpg",
503
+ "option_A": "Chickenpox",
504
+ "option_B": "Mumps",
505
+ "option_C": "German measles",
506
+ "option_D": "Smallpox",
507
+ "modality_type": "Dermoscopy"
508
+ },
509
+ {
510
+ "dataset": "Monkeypox Skin Image 2022",
511
+ "question_id": "Monkeypox Skin Image 2022_0039",
512
+ "question_type": "Disease Diagnosis",
513
+ "question": "What is the specific condition indicated by the anomaly shown in this image?",
514
+ "gt_answer": "Chickenpox",
515
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0044.jpg",
516
+ "option_A": "Dengue fever",
517
+ "option_B": "Fifth disease",
518
+ "option_C": "Chickenpox",
519
+ "option_D": "Smallpox",
520
+ "modality_type": "Dermoscopy"
521
+ },
522
+ {
523
+ "dataset": "Monkeypox Skin Image 2022",
524
+ "question_id": "Monkeypox Skin Image 2022_0040",
525
+ "question_type": "Disease Diagnosis",
526
+ "question": "What is the specific diagnosis of the visible abnormality in this image?",
527
+ "gt_answer": "Chickenpox",
528
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0050.jpg",
529
+ "option_A": "Smallpox",
530
+ "option_B": "Chickenpox",
531
+ "option_C": "Hand, foot, and mouth disease",
532
+ "option_D": "Influenza",
533
+ "modality_type": "Dermoscopy"
534
+ },
535
+ {
536
+ "dataset": "Monkeypox Skin Image 2022",
537
+ "question_id": "Monkeypox Skin Image 2022_0041",
538
+ "question_type": "Disease Diagnosis",
539
+ "question": "What specific abnormality is present in this image?",
540
+ "gt_answer": "Chickenpox",
541
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0169.jpg",
542
+ "option_A": "Rubella",
543
+ "option_B": "German measles",
544
+ "option_C": "Chickenpox",
545
+ "option_D": "Dengue fever",
546
+ "modality_type": "Dermoscopy"
547
+ },
548
+ {
549
+ "dataset": "Monkeypox Skin Image 2022",
550
+ "question_id": "Monkeypox Skin Image 2022_0042",
551
+ "question_type": "Disease Diagnosis",
552
+ "question": "What is the specific diagnosis for the abnormality shown in this image?",
553
+ "gt_answer": "Chickenpox",
554
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0148.jpg",
555
+ "option_A": "Chickenpox",
556
+ "option_B": "Measles",
557
+ "option_C": "Hand, foot, and mouth disease",
558
+ "option_D": "Smallpox",
559
+ "modality_type": "Dermoscopy"
560
+ },
561
+ {
562
+ "dataset": "Monkeypox Skin Image 2022",
563
+ "question_id": "Monkeypox Skin Image 2022_0043",
564
+ "question_type": "Disease Diagnosis",
565
+ "question": "What is the name of the specific abnormality seen in this image?",
566
+ "gt_answer": "Chickenpox",
567
+ "image_path": "Images/Monkeypox Skin Image 2022/chickenpox/ch_0136.jpg",
568
+ "option_A": "Smallpox",
569
+ "option_B": "Influenza",
570
+ "option_C": "Mumps",
571
+ "option_D": "Chickenpox",
572
+ "modality_type": "Dermoscopy"
573
+ },
574
+ {
575
+ "dataset": "Monkeypox Skin Image 2022",
576
+ "question_id": "Monkeypox Skin Image 2022_0044",
577
+ "question_type": "Disease Diagnosis",
578
+ "question": "What is the specific condition depicted in this image?",
579
+ "gt_answer": "Cowpox",
580
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0027.jpg",
581
+ "option_A": "Cowpox",
582
+ "option_B": "Shingles",
583
+ "option_C": "Hepatitis A",
584
+ "option_D": "Mumps",
585
+ "modality_type": "Dermoscopy"
586
+ },
587
+ {
588
+ "dataset": "Monkeypox Skin Image 2022",
589
+ "question_id": "Monkeypox Skin Image 2022_0045",
590
+ "question_type": "Disease Diagnosis",
591
+ "question": "What is the specific condition depicted in this image?",
592
+ "gt_answer": "Cowpox",
593
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0051.jpg",
594
+ "option_A": "Influenza",
595
+ "option_B": "Rubella",
596
+ "option_C": "Smallpox",
597
+ "option_D": "Cowpox",
598
+ "modality_type": "Dermoscopy"
599
+ },
600
+ {
601
+ "dataset": "Monkeypox Skin Image 2022",
602
+ "question_id": "Monkeypox Skin Image 2022_0046",
603
+ "question_type": "Disease Diagnosis",
604
+ "question": "What specific abnormality is present in this image?",
605
+ "gt_answer": "Cowpox",
606
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0026.jpg",
607
+ "option_A": "Cowpox",
608
+ "option_B": "Smallpox",
609
+ "option_C": "Dengue fever",
610
+ "option_D": "Polio",
611
+ "modality_type": "Dermoscopy"
612
+ },
613
+ {
614
+ "dataset": "Monkeypox Skin Image 2022",
615
+ "question_id": "Monkeypox Skin Image 2022_0047",
616
+ "question_type": "Disease Diagnosis",
617
+ "question": "What is the particular abnormality depicted in this image?",
618
+ "gt_answer": "Cowpox",
619
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0016.jpg",
620
+ "option_A": "Mumps",
621
+ "option_B": "Influenza",
622
+ "option_C": "Dengue fever",
623
+ "option_D": "Cowpox",
624
+ "modality_type": "Dermoscopy"
625
+ },
626
+ {
627
+ "dataset": "Monkeypox Skin Image 2022",
628
+ "question_id": "Monkeypox Skin Image 2022_0048",
629
+ "question_type": "Disease Diagnosis",
630
+ "question": "What is the specific condition depicted in this image?",
631
+ "gt_answer": "Cowpox",
632
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0036.jpg",
633
+ "option_A": "Mumps",
634
+ "option_B": "Hepatitis A",
635
+ "option_C": "Measles",
636
+ "option_D": "Cowpox",
637
+ "modality_type": "Dermoscopy"
638
+ },
639
+ {
640
+ "dataset": "Monkeypox Skin Image 2022",
641
+ "question_id": "Monkeypox Skin Image 2022_0049",
642
+ "question_type": "Disease Diagnosis",
643
+ "question": "What is the specific condition depicted in this image?",
644
+ "gt_answer": "Cowpox",
645
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0053.jpg",
646
+ "option_A": "Polio",
647
+ "option_B": "Cowpox",
648
+ "option_C": "Mumps",
649
+ "option_D": "Measles",
650
+ "modality_type": "Dermoscopy"
651
+ },
652
+ {
653
+ "dataset": "Monkeypox Skin Image 2022",
654
+ "question_id": "Monkeypox Skin Image 2022_0050",
655
+ "question_type": "Disease Diagnosis",
656
+ "question": "What is the specific condition depicted in this image?",
657
+ "gt_answer": "Cowpox",
658
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0014.jpg",
659
+ "option_A": "Influenza",
660
+ "option_B": "Dengue fever",
661
+ "option_C": "Cowpox",
662
+ "option_D": "Hepatitis A",
663
+ "modality_type": "Dermoscopy"
664
+ },
665
+ {
666
+ "dataset": "Monkeypox Skin Image 2022",
667
+ "question_id": "Monkeypox Skin Image 2022_0051",
668
+ "question_type": "Disease Diagnosis",
669
+ "question": "What specific abnormality is present in this image?",
670
+ "gt_answer": "Cowpox",
671
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0023.jpg",
672
+ "option_A": "Rubella",
673
+ "option_B": "Smallpox",
674
+ "option_C": "Cowpox",
675
+ "option_D": "Dengue fever",
676
+ "modality_type": "Dermoscopy"
677
+ },
678
+ {
679
+ "dataset": "Monkeypox Skin Image 2022",
680
+ "question_id": "Monkeypox Skin Image 2022_0052",
681
+ "question_type": "Disease Diagnosis",
682
+ "question": "What is the specific condition depicted in this image?",
683
+ "gt_answer": "Cowpox",
684
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0042.jpg",
685
+ "option_A": "Rubella",
686
+ "option_B": "Dengue fever",
687
+ "option_C": "Measles",
688
+ "option_D": "Cowpox",
689
+ "modality_type": "Dermoscopy"
690
+ },
691
+ {
692
+ "dataset": "Monkeypox Skin Image 2022",
693
+ "question_id": "Monkeypox Skin Image 2022_0053",
694
+ "question_type": "Disease Diagnosis",
695
+ "question": "What specific abnormality is present in this image?",
696
+ "gt_answer": "Cowpox",
697
+ "image_path": "Images/Monkeypox Skin Image 2022/cowpox/co_0050.jpg",
698
+ "option_A": "Cowpox",
699
+ "option_B": "Hepatitis A",
700
+ "option_C": "Chickenpox",
701
+ "option_D": "Shingles",
702
+ "modality_type": "Dermoscopy"
703
+ },
704
+ {
705
+ "dataset": "Monkeypox Skin Image 2022",
706
+ "question_id": "Monkeypox Skin Image 2022_0054",
707
+ "question_type": "Disease Diagnosis",
708
+ "question": "Is there any irregularity present in this image?",
709
+ "gt_answer": "No",
710
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0010.jpg",
711
+ "option_A": "No",
712
+ "option_B": "Yes",
713
+ "modality_type": "Dermoscopy"
714
+ },
715
+ {
716
+ "dataset": "Monkeypox Skin Image 2022",
717
+ "question_id": "Monkeypox Skin Image 2022_0055",
718
+ "question_type": "Disease Diagnosis",
719
+ "question": "Is there any anomaly present in this image?",
720
+ "gt_answer": "No",
721
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0031.jpg",
722
+ "option_A": "Yes",
723
+ "option_B": "No",
724
+ "modality_type": "Dermoscopy"
725
+ },
726
+ {
727
+ "dataset": "Monkeypox Skin Image 2022",
728
+ "question_id": "Monkeypox Skin Image 2022_0056",
729
+ "question_type": "Disease Diagnosis",
730
+ "question": "Is there any abnormality present in this image?",
731
+ "gt_answer": "No",
732
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0019.jpg",
733
+ "option_A": "Yes",
734
+ "option_B": "No",
735
+ "modality_type": "Dermoscopy"
736
+ },
737
+ {
738
+ "dataset": "Monkeypox Skin Image 2022",
739
+ "question_id": "Monkeypox Skin Image 2022_0057",
740
+ "question_type": "Disease Diagnosis",
741
+ "question": "Is there any anomaly present in this image?",
742
+ "gt_answer": "No",
743
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0022.jpg",
744
+ "option_A": "Yes",
745
+ "option_B": "No",
746
+ "modality_type": "Dermoscopy"
747
+ },
748
+ {
749
+ "dataset": "Monkeypox Skin Image 2022",
750
+ "question_id": "Monkeypox Skin Image 2022_0058",
751
+ "question_type": "Disease Diagnosis",
752
+ "question": "Is there any anomaly present in this image?",
753
+ "gt_answer": "No",
754
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0036.jpg",
755
+ "option_A": "Yes",
756
+ "option_B": "No",
757
+ "modality_type": "Dermoscopy"
758
+ },
759
+ {
760
+ "dataset": "Monkeypox Skin Image 2022",
761
+ "question_id": "Monkeypox Skin Image 2022_0059",
762
+ "question_type": "Disease Diagnosis",
763
+ "question": "Does this image show any irregularities?",
764
+ "gt_answer": "No",
765
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0013.jpg",
766
+ "option_A": "Yes",
767
+ "option_B": "No",
768
+ "modality_type": "Dermoscopy"
769
+ },
770
+ {
771
+ "dataset": "Monkeypox Skin Image 2022",
772
+ "question_id": "Monkeypox Skin Image 2022_0060",
773
+ "question_type": "Disease Diagnosis",
774
+ "question": "Does this image show any abnormalities?",
775
+ "gt_answer": "No",
776
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0004.jpg",
777
+ "option_A": "No",
778
+ "option_B": "Yes",
779
+ "modality_type": "Dermoscopy"
780
+ },
781
+ {
782
+ "dataset": "Monkeypox Skin Image 2022",
783
+ "question_id": "Monkeypox Skin Image 2022_0061",
784
+ "question_type": "Disease Diagnosis",
785
+ "question": "Is there any anomaly present in this image?",
786
+ "gt_answer": "No",
787
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0047.jpg",
788
+ "option_A": "No",
789
+ "option_B": "Yes",
790
+ "modality_type": "Dermoscopy"
791
+ },
792
+ {
793
+ "dataset": "Monkeypox Skin Image 2022",
794
+ "question_id": "Monkeypox Skin Image 2022_0062",
795
+ "question_type": "Disease Diagnosis",
796
+ "question": "Does this image show any abnormality?",
797
+ "gt_answer": "No",
798
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0033.jpg",
799
+ "option_A": "No",
800
+ "option_B": "Yes",
801
+ "modality_type": "Dermoscopy"
802
+ },
803
+ {
804
+ "dataset": "Monkeypox Skin Image 2022",
805
+ "question_id": "Monkeypox Skin Image 2022_0063",
806
+ "question_type": "Disease Diagnosis",
807
+ "question": "Is there any anomaly present in this image?",
808
+ "gt_answer": "No",
809
+ "image_path": "Images/Monkeypox Skin Image 2022/healthy/he_0014.jpg",
810
+ "option_A": "No",
811
+ "option_B": "Yes",
812
+ "modality_type": "Dermoscopy"
813
+ },
814
+ {
815
+ "dataset": "Monkeypox Skin Image 2022",
816
+ "question_id": "Monkeypox Skin Image 2022_0064",
817
+ "question_type": "Disease Diagnosis",
818
+ "question": "What is the specific illness depicted in this image?",
819
+ "gt_answer": "Measles",
820
+ "image_path": "Images/Monkeypox Skin Image 2022/measles/me_0029.jpg",
821
+ "option_A": "Tuberculosis",
822
+ "option_B": "Scarlet fever",
823
+ "option_C": "Hepatitis",
824
+ "option_D": "Measles",
825
+ "modality_type": "Dermoscopy"
826
+ },
827
+ {
828
+ "dataset": "Monkeypox Skin Image 2022",
829
+ "question_id": "Monkeypox Skin Image 2022_0065",
830
+ "question_type": "Disease Diagnosis",
831
+ "question": "What specific abnormality is present in this image?",
832
+ "gt_answer": "Measles",
833
+ "image_path": "Images/Monkeypox Skin Image 2022/measles/me_0027.jpg",
834
+ "option_A": "Lyme disease",
835
+ "option_B": "Mumps",
836
+ "option_C": "Measles",
837
+ "option_D": "Hepatitis",
838
+ "modality_type": "Dermoscopy"
839
+ },
840
+ {
841
+ "dataset": "Monkeypox Skin Image 2022",
842
+ "question_id": "Monkeypox Skin Image 2022_0066",
843
+ "question_type": "Disease Diagnosis",
844
+ "question": "What is the specific condition depicted in this image?",
845
+ "gt_answer": "Measles",
846
+ "image_path": "Images/Monkeypox Skin Image 2022/measles/me_0046.jpg",
847
+ "option_A": "Chickenpox",
848
+ "option_B": "Polio",
849
+ "option_C": "Measles",
850
+ "option_D": "Smallpox",
851
+ "modality_type": "Dermoscopy"
852
+ },
853
+ {
854
+ "dataset": "Monkeypox Skin Image 2022",
855
+ "question_id": "Monkeypox Skin Image 2022_0067",
856
+ "question_type": "Disease Diagnosis",
857
+ "question": "What is the specific diagnosis for the condition seen in this image?",
858
+ "gt_answer": "Measles",
859
+ "image_path": "Images/Monkeypox Skin Image 2022/measles/me_0008.jpg",
860
+ "option_A": "Scarlet fever",
861
+ "option_B": "Smallpox",
862
+ "option_C": "Measles",
863
+ "option_D": "Tuberculosis",
864
+ "modality_type": "Dermoscopy"
865
+ },
866
+ {
867
+ "dataset": "Monkeypox Skin Image 2022",
868
+ "question_id": "Monkeypox Skin Image 2022_0068",
869
+ "question_type": "Disease Diagnosis",
870
+ "question": "What is the specific condition depicted in this image?",
871
+ "gt_answer": "Measles",
872
+ "image_path": "Images/Monkeypox Skin Image 2022/measles/me_0018.jpg",
873
+ "option_A": "Measles",
874
+ "option_B": "Rubella",
875
+ "option_C": "Tuberculosis",
876
+ "option_D": "Scarlet fever",
877
+ "modality_type": "Dermoscopy"
878
+ },
879
+ {
880
+ "dataset": "Monkeypox Skin Image 2022",
881
+ "question_id": "Monkeypox Skin Image 2022_0069",
882
+ "question_type": "Disease Diagnosis",
883
+ "question": "What is the specific condition displayed in this image?",
884
+ "gt_answer": "Measles",
885
+ "image_path": "Images/Monkeypox Skin Image 2022/measles/me_0035.jpg",
886
+ "option_A": "Rubella",
887
+ "option_B": "Hepatitis",
888
+ "option_C": "Mumps",
889
+ "option_D": "Measles",
890
+ "modality_type": "Dermoscopy"
891
+ },
892
+ {
893
+ "dataset": "Monkeypox Skin Image 2022",
894
+ "question_id": "Monkeypox Skin Image 2022_0070",
895
+ "question_type": "Disease Diagnosis",
896
+ "question": "What is the particular condition depicted in this image?",
897
+ "gt_answer": "Measles",
898
+ "image_path": "Images/Monkeypox Skin Image 2022/measles/me_0001.jpg",
899
+ "option_A": "Measles",
900
+ "option_B": "Polio",
901
+ "option_C": "Scarlet fever",
902
+ "option_D": "Smallpox",
903
+ "modality_type": "Dermoscopy"
904
+ },
905
+ {
906
+ "dataset": "Monkeypox Skin Image 2022",
907
+ "question_id": "Monkeypox Skin Image 2022_0071",
908
+ "question_type": "Disease Diagnosis",
909
+ "question": "What specific abnormality is present in this image?",
910
+ "gt_answer": "Measles",
911
+ "image_path": "Images/Monkeypox Skin Image 2022/measles/me_0010.jpg",
912
+ "option_A": "Measles",
913
+ "option_B": "Polio",
914
+ "option_C": "Rubella",
915
+ "option_D": "Hepatitis",
916
+ "modality_type": "Dermoscopy"
917
+ },
918
+ {
919
+ "dataset": "Monkeypox Skin Image 2022",
920
+ "question_id": "Monkeypox Skin Image 2022_0072",
921
+ "question_type": "Disease Diagnosis",
922
+ "question": "What specific abnormality is present in this image?",
923
+ "gt_answer": "Measles",
924
+ "image_path": "Images/Monkeypox Skin Image 2022/measles/me_0043.jpg",
925
+ "option_A": "Measles",
926
+ "option_B": "Influenza",
927
+ "option_C": "Scarlet fever",
928
+ "option_D": "Rubella",
929
+ "modality_type": "Dermoscopy"
930
+ },
931
+ {
932
+ "dataset": "Monkeypox Skin Image 2022",
933
+ "question_id": "Monkeypox Skin Image 2022_0073",
934
+ "question_type": "Disease Diagnosis",
935
+ "question": "What disease is illustrated in this image and what are its primary features?",
936
+ "gt_answer": "Monkeypox",
937
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0042.jpg",
938
+ "option_A": "Tuberculosis",
939
+ "option_B": "Influenza",
940
+ "option_C": "Mumps",
941
+ "option_D": "Monkeypox",
942
+ "modality_type": "Dermoscopy"
943
+ },
944
+ {
945
+ "dataset": "Monkeypox Skin Image 2022",
946
+ "question_id": "Monkeypox Skin Image 2022_0074",
947
+ "question_type": "Disease Diagnosis",
948
+ "question": "What disease is represented in this image, and can you provide a summary of its key features?",
949
+ "gt_answer": "Monkeypox",
950
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0079.jpg",
951
+ "option_A": "Ebola.",
952
+ "option_B": "Pertussis",
953
+ "option_C": "Smallpox",
954
+ "option_D": "Monkeypox",
955
+ "modality_type": "Dermoscopy"
956
+ },
957
+ {
958
+ "dataset": "Monkeypox Skin Image 2022",
959
+ "question_id": "Monkeypox Skin Image 2022_0075",
960
+ "question_type": "Disease Diagnosis",
961
+ "question": "What is the disease characterized by the specific abnormality visible in this image, and can you outline the main features of this condition?",
962
+ "gt_answer": "Monkeypox",
963
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0010.jpg",
964
+ "option_A": "Monkeypox",
965
+ "option_B": "Lyme disease",
966
+ "option_C": "Mumps",
967
+ "option_D": "Rubella",
968
+ "modality_type": "Dermoscopy"
969
+ },
970
+ {
971
+ "dataset": "Monkeypox Skin Image 2022",
972
+ "question_id": "Monkeypox Skin Image 2022_0076",
973
+ "question_type": "Disease Diagnosis",
974
+ "question": "What disease is depicted in this image, and can you give a brief summary of its key features?",
975
+ "gt_answer": "Monkeypox",
976
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0025.jpg",
977
+ "option_A": "Smallpox",
978
+ "option_B": "Influenza",
979
+ "option_C": "Measles",
980
+ "option_D": "Monkeypox",
981
+ "modality_type": "Dermoscopy"
982
+ },
983
+ {
984
+ "dataset": "Monkeypox Skin Image 2022",
985
+ "question_id": "Monkeypox Skin Image 2022_0077",
986
+ "question_type": "Disease Diagnosis",
987
+ "question": "What disease is depicted in this image, and can you describe the key features of this specific condition?",
988
+ "gt_answer": "Monkeypox",
989
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0064.jpg",
990
+ "option_A": "Influenza",
991
+ "option_B": "Chickenpox",
992
+ "option_C": "Monkeypox",
993
+ "option_D": "Tuberculosis",
994
+ "modality_type": "Dermoscopy"
995
+ },
996
+ {
997
+ "dataset": "Monkeypox Skin Image 2022",
998
+ "question_id": "Monkeypox Skin Image 2022_0078",
999
+ "question_type": "Disease Diagnosis",
1000
+ "question": "What disease is depicted in this image, and can you provide a summary of its key features?",
1001
+ "gt_answer": "Monkeypox",
1002
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0096.jpg",
1003
+ "option_A": "Pertussis",
1004
+ "option_B": "Monkeypox",
1005
+ "option_C": "Chickenpox",
1006
+ "option_D": "Lyme disease",
1007
+ "modality_type": "Dermoscopy"
1008
+ },
1009
+ {
1010
+ "dataset": "Monkeypox Skin Image 2022",
1011
+ "question_id": "Monkeypox Skin Image 2022_0079",
1012
+ "question_type": "Disease Diagnosis",
1013
+ "question": "What is the disease represented in this image, and can you give a brief overview of its main features?",
1014
+ "gt_answer": "Monkeypox",
1015
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0101.jpg",
1016
+ "option_A": "Measles",
1017
+ "option_B": "Influenza",
1018
+ "option_C": "Chickenpox",
1019
+ "option_D": "Monkeypox",
1020
+ "modality_type": "Dermoscopy"
1021
+ },
1022
+ {
1023
+ "dataset": "Monkeypox Skin Image 2022",
1024
+ "question_id": "Monkeypox Skin Image 2022_0080",
1025
+ "question_type": "Disease Diagnosis",
1026
+ "question": "What is the disease shown in this image, and can you provide a summary of its main features?",
1027
+ "gt_answer": "Monkeypox",
1028
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0005.jpg",
1029
+ "option_A": "Influenza",
1030
+ "option_B": "Ebola.",
1031
+ "option_C": "Measles",
1032
+ "option_D": "Monkeypox",
1033
+ "modality_type": "Dermoscopy"
1034
+ },
1035
+ {
1036
+ "dataset": "Monkeypox Skin Image 2022",
1037
+ "question_id": "Monkeypox Skin Image 2022_0081",
1038
+ "question_type": "Disease Diagnosis",
1039
+ "question": "What disease is depicted in this image, and can you give a summary of its primary features?",
1040
+ "gt_answer": "Monkeypox",
1041
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0054.jpg",
1042
+ "option_A": "Tuberculosis",
1043
+ "option_B": "Monkeypox",
1044
+ "option_C": "Pertussis",
1045
+ "option_D": "Smallpox",
1046
+ "modality_type": "Dermoscopy"
1047
+ },
1048
+ {
1049
+ "dataset": "Monkeypox Skin Image 2022",
1050
+ "question_id": "Monkeypox Skin Image 2022_0082",
1051
+ "question_type": "Disease Diagnosis",
1052
+ "question": "What is the name of the disease depicted in this image, and can you give a summary of its key features?",
1053
+ "gt_answer": "Monkeypox",
1054
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0085.jpg",
1055
+ "option_A": "Ebola.",
1056
+ "option_B": "Measles",
1057
+ "option_C": "Monkeypox",
1058
+ "option_D": "Smallpox",
1059
+ "modality_type": "Dermoscopy"
1060
+ },
1061
+ {
1062
+ "dataset": "Monkeypox Skin Image 2022",
1063
+ "question_id": "Monkeypox Skin Image 2022_0083",
1064
+ "question_type": "Disease Diagnosis",
1065
+ "question": "What is the name of the disease depicted in this image, and can you give a brief summary of its key features?",
1066
+ "gt_answer": "Monkeypox",
1067
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0116.jpg",
1068
+ "option_A": "Pertussis",
1069
+ "option_B": "Mumps",
1070
+ "option_C": "Monkeypox",
1071
+ "option_D": "Measles",
1072
+ "modality_type": "Dermoscopy"
1073
+ },
1074
+ {
1075
+ "dataset": "Monkeypox Skin Image 2022",
1076
+ "question_id": "Monkeypox Skin Image 2022_0084",
1077
+ "question_type": "Disease Diagnosis",
1078
+ "question": "What disease is represented by the specific abnormality in this image, and can you describe the key features of this disorder?",
1079
+ "gt_answer": "Monkeypox",
1080
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0040.jpg",
1081
+ "option_A": "Rubella",
1082
+ "option_B": "Pertussis",
1083
+ "option_C": "Monkeypox",
1084
+ "option_D": "Lyme disease",
1085
+ "modality_type": "Dermoscopy"
1086
+ },
1087
+ {
1088
+ "dataset": "Monkeypox Skin Image 2022",
1089
+ "question_id": "Monkeypox Skin Image 2022_0085",
1090
+ "question_type": "Disease Diagnosis",
1091
+ "question": "What is the name of the disease shown in this image, and can you provide a general description of its main features?",
1092
+ "gt_answer": "Monkeypox",
1093
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0016.jpg",
1094
+ "option_A": "Monkeypox",
1095
+ "option_B": "Pertussis",
1096
+ "option_C": "Ebola.",
1097
+ "option_D": "Rubella",
1098
+ "modality_type": "Dermoscopy"
1099
+ },
1100
+ {
1101
+ "dataset": "Monkeypox Skin Image 2022",
1102
+ "question_id": "Monkeypox Skin Image 2022_0086",
1103
+ "question_type": "Disease Diagnosis",
1104
+ "question": "What disease is depicted in this image, and can you give a brief description of its key features?",
1105
+ "gt_answer": "Monkeypox",
1106
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0023.jpg",
1107
+ "option_A": "Pertussis",
1108
+ "option_B": "Rubella",
1109
+ "option_C": "Monkeypox",
1110
+ "option_D": "Lyme disease",
1111
+ "modality_type": "Dermoscopy"
1112
+ },
1113
+ {
1114
+ "dataset": "Monkeypox Skin Image 2022",
1115
+ "question_id": "Monkeypox Skin Image 2022_0087",
1116
+ "question_type": "Disease Diagnosis",
1117
+ "question": "What disease is characterized by specific abnormalities seen in this image, and can you provide a summary of its main features?",
1118
+ "gt_answer": "Monkeypox",
1119
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0008.jpg",
1120
+ "option_A": "Mumps",
1121
+ "option_B": "Monkeypox",
1122
+ "option_C": "Tuberculosis",
1123
+ "option_D": "Influenza",
1124
+ "modality_type": "Dermoscopy"
1125
+ },
1126
+ {
1127
+ "dataset": "Monkeypox Skin Image 2022",
1128
+ "question_id": "Monkeypox Skin Image 2022_0088",
1129
+ "question_type": "Disease Diagnosis",
1130
+ "question": "What disease is depicted in this image, and can you provide a summary of the key features of this condition?",
1131
+ "gt_answer": "Monkeypox",
1132
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0012.jpg",
1133
+ "option_A": "Measles",
1134
+ "option_B": "Mumps",
1135
+ "option_C": "Chickenpox",
1136
+ "option_D": "Monkeypox",
1137
+ "modality_type": "Dermoscopy"
1138
+ },
1139
+ {
1140
+ "dataset": "Monkeypox Skin Image 2022",
1141
+ "question_id": "Monkeypox Skin Image 2022_0089",
1142
+ "question_type": "Disease Diagnosis",
1143
+ "question": "What disease is depicted in this image, and can you give me a summary of its key features?",
1144
+ "gt_answer": "Monkeypox",
1145
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0002.jpg",
1146
+ "option_A": "Mumps",
1147
+ "option_B": "Influenza",
1148
+ "option_C": "Smallpox",
1149
+ "option_D": "Monkeypox",
1150
+ "modality_type": "Dermoscopy"
1151
+ },
1152
+ {
1153
+ "dataset": "Monkeypox Skin Image 2022",
1154
+ "question_id": "Monkeypox Skin Image 2022_0090",
1155
+ "question_type": "Disease Diagnosis",
1156
+ "question": "What is the name of the disease shown in this image, and can you provide a summary of its primary features?",
1157
+ "gt_answer": "Monkeypox",
1158
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0022.jpg",
1159
+ "option_A": "Influenza",
1160
+ "option_B": "Monkeypox",
1161
+ "option_C": "Pertussis",
1162
+ "option_D": "Rubella",
1163
+ "modality_type": "Dermoscopy"
1164
+ },
1165
+ {
1166
+ "dataset": "Monkeypox Skin Image 2022",
1167
+ "question_id": "Monkeypox Skin Image 2022_0091",
1168
+ "question_type": "Disease Diagnosis",
1169
+ "question": "What disease is depicted in this image, and can you give a summary of its key features?",
1170
+ "gt_answer": "Monkeypox",
1171
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0062.jpg",
1172
+ "option_A": "Measles",
1173
+ "option_B": "Mumps",
1174
+ "option_C": "Lyme disease",
1175
+ "option_D": "Monkeypox",
1176
+ "modality_type": "Dermoscopy"
1177
+ },
1178
+ {
1179
+ "dataset": "Monkeypox Skin Image 2022",
1180
+ "question_id": "Monkeypox Skin Image 2022_0092",
1181
+ "question_type": "Disease Diagnosis",
1182
+ "question": "What disease is depicted in this image, and could you provide a summary of its primary features?",
1183
+ "gt_answer": "Monkeypox",
1184
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0055.jpg",
1185
+ "option_A": "Monkeypox",
1186
+ "option_B": "Lyme disease",
1187
+ "option_C": "Rubella",
1188
+ "option_D": "Pertussis",
1189
+ "modality_type": "Dermoscopy"
1190
+ },
1191
+ {
1192
+ "dataset": "Monkeypox Skin Image 2022",
1193
+ "question_id": "Monkeypox Skin Image 2022_0093",
1194
+ "question_type": "Disease Diagnosis",
1195
+ "question": "What disease is depicted in this image, and can you give a brief description of the key features of this condition?",
1196
+ "gt_answer": "Monkeypox",
1197
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0041.jpg",
1198
+ "option_A": "Monkeypox",
1199
+ "option_B": "Ebola.",
1200
+ "option_C": "Smallpox",
1201
+ "option_D": "Pertussis",
1202
+ "modality_type": "Dermoscopy"
1203
+ },
1204
+ {
1205
+ "dataset": "Monkeypox Skin Image 2022",
1206
+ "question_id": "Monkeypox Skin Image 2022_0094",
1207
+ "question_type": "Disease Diagnosis",
1208
+ "question": "What disease is depicted in this image, and can you provide a brief description of its primary features?",
1209
+ "gt_answer": "Monkeypox",
1210
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0011.jpg",
1211
+ "option_A": "Monkeypox",
1212
+ "option_B": "Measles",
1213
+ "option_C": "Rubella",
1214
+ "option_D": "Mumps",
1215
+ "modality_type": "Dermoscopy"
1216
+ },
1217
+ {
1218
+ "dataset": "Monkeypox Skin Image 2022",
1219
+ "question_id": "Monkeypox Skin Image 2022_0095",
1220
+ "question_type": "Disease Diagnosis",
1221
+ "question": "What disease is depicted in this image, and can you describe the key features and manifestations of this specific condition?",
1222
+ "gt_answer": "Monkeypox",
1223
+ "image_path": "Images/Monkeypox Skin Image 2022/monkeypox/mo_0001.jpg",
1224
+ "option_A": "Tuberculosis",
1225
+ "option_B": "Mumps",
1226
+ "option_C": "Pertussis",
1227
+ "option_D": "Monkeypox",
1228
+ "modality_type": "Dermoscopy"
1229
+ },
1230
+ {
1231
+ "dataset": "Monkeypox Skin Image 2022",
1232
+ "question_id": "Monkeypox Skin Image 2022_0096",
1233
+ "question_type": "Disease Diagnosis",
1234
+ "question": "What is the specific disease represented by the abnormality in this image?",
1235
+ "gt_answer": "Smallpox",
1236
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0258.jpg",
1237
+ "option_A": "Chickenpox",
1238
+ "option_B": "Smallpox",
1239
+ "option_C": "Polio",
1240
+ "option_D": "Tuberculosis",
1241
+ "modality_type": "Dermoscopy"
1242
+ },
1243
+ {
1244
+ "dataset": "Monkeypox Skin Image 2022",
1245
+ "question_id": "Monkeypox Skin Image 2022_0097",
1246
+ "question_type": "Disease Diagnosis",
1247
+ "question": "What specific disease is depicted in this image? Can you give a brief description of the abnormality?",
1248
+ "gt_answer": "Smallpox",
1249
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0208.jpg",
1250
+ "option_A": "Smallpox",
1251
+ "option_B": "Chickenpox",
1252
+ "option_C": "Tuberculosis",
1253
+ "option_D": "Measles",
1254
+ "modality_type": "Dermoscopy"
1255
+ },
1256
+ {
1257
+ "dataset": "Monkeypox Skin Image 2022",
1258
+ "question_id": "Monkeypox Skin Image 2022_0098",
1259
+ "question_type": "Disease Diagnosis",
1260
+ "question": "Can you identify the disease depicted in this photograph? Could you also give a concise description of this ailment?",
1261
+ "gt_answer": "Smallpox",
1262
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0145.jpg",
1263
+ "option_A": "Polio",
1264
+ "option_B": "Smallpox",
1265
+ "option_C": "Meningitis",
1266
+ "option_D": "Measles",
1267
+ "modality_type": "Dermoscopy"
1268
+ },
1269
+ {
1270
+ "dataset": "Monkeypox Skin Image 2022",
1271
+ "question_id": "Monkeypox Skin Image 2022_0099",
1272
+ "question_type": "Disease Diagnosis",
1273
+ "question": "What is the condition depicted in this image? Can you give a brief summary of the characteristics of this illness?",
1274
+ "gt_answer": "Smallpox",
1275
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0013.jpg",
1276
+ "option_A": "Tuberculosis",
1277
+ "option_B": "Chickenpox",
1278
+ "option_C": "Smallpox",
1279
+ "option_D": "Meningitis",
1280
+ "modality_type": "Dermoscopy"
1281
+ },
1282
+ {
1283
+ "dataset": "Monkeypox Skin Image 2022",
1284
+ "question_id": "Monkeypox Skin Image 2022_0100",
1285
+ "question_type": "Disease Diagnosis",
1286
+ "question": "What disease does this image depict? Can you give me a brief summary of the specific abnormality?",
1287
+ "gt_answer": "Smallpox",
1288
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0062.jpg",
1289
+ "option_A": "Smallpox",
1290
+ "option_B": "Chickenpox",
1291
+ "option_C": "Measles",
1292
+ "option_D": "Tuberculosis",
1293
+ "modality_type": "Dermoscopy"
1294
+ },
1295
+ {
1296
+ "dataset": "Monkeypox Skin Image 2022",
1297
+ "question_id": "Monkeypox Skin Image 2022_0101",
1298
+ "question_type": "Disease Diagnosis",
1299
+ "question": "What is the disease depicted in this image?",
1300
+ "gt_answer": "Smallpox",
1301
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0118.jpg",
1302
+ "option_A": "Tuberculosis",
1303
+ "option_B": "Polio",
1304
+ "option_C": "Smallpox",
1305
+ "option_D": "Chickenpox",
1306
+ "modality_type": "Dermoscopy"
1307
+ },
1308
+ {
1309
+ "dataset": "Monkeypox Skin Image 2022",
1310
+ "question_id": "Monkeypox Skin Image 2022_0102",
1311
+ "question_type": "Disease Diagnosis",
1312
+ "question": "What is the specific disease shown in this image? Can you give a brief summary of its characteristics?",
1313
+ "gt_answer": "Smallpox",
1314
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0257.jpg",
1315
+ "option_A": "Meningitis",
1316
+ "option_B": "Tuberculosis",
1317
+ "option_C": "Measles",
1318
+ "option_D": "Smallpox",
1319
+ "modality_type": "Dermoscopy"
1320
+ },
1321
+ {
1322
+ "dataset": "Monkeypox Skin Image 2022",
1323
+ "question_id": "Monkeypox Skin Image 2022_0103",
1324
+ "question_type": "Disease Diagnosis",
1325
+ "question": "What is the abnormality depicted in this image? Can you give a brief description of the disorder?",
1326
+ "gt_answer": "Smallpox",
1327
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0125.jpg",
1328
+ "option_A": "Meningitis",
1329
+ "option_B": "Tuberculosis",
1330
+ "option_C": "Chickenpox",
1331
+ "option_D": "Smallpox",
1332
+ "modality_type": "Dermoscopy"
1333
+ },
1334
+ {
1335
+ "dataset": "Monkeypox Skin Image 2022",
1336
+ "question_id": "Monkeypox Skin Image 2022_0104",
1337
+ "question_type": "Disease Diagnosis",
1338
+ "question": "What disease is depicted in this image?",
1339
+ "gt_answer": "Smallpox",
1340
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0313.jpg",
1341
+ "option_A": "Tuberculosis",
1342
+ "option_B": "Smallpox",
1343
+ "option_C": "Measles",
1344
+ "option_D": "Chickenpox",
1345
+ "modality_type": "Dermoscopy"
1346
+ },
1347
+ {
1348
+ "dataset": "Monkeypox Skin Image 2022",
1349
+ "question_id": "Monkeypox Skin Image 2022_0105",
1350
+ "question_type": "Disease Diagnosis",
1351
+ "question": "What disease is diagnosed by identifying the unique features in this photograph, and could you summarize the condition?",
1352
+ "gt_answer": "Smallpox",
1353
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0352.jpg",
1354
+ "option_A": "Measles",
1355
+ "option_B": "Tuberculosis",
1356
+ "option_C": "Smallpox",
1357
+ "option_D": "Polio",
1358
+ "modality_type": "Dermoscopy"
1359
+ },
1360
+ {
1361
+ "dataset": "Monkeypox Skin Image 2022",
1362
+ "question_id": "Monkeypox Skin Image 2022_0106",
1363
+ "question_type": "Disease Diagnosis",
1364
+ "question": "What disease is depicted in this image? Can you give a brief description of the particular anomaly shown?",
1365
+ "gt_answer": "Smallpox",
1366
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0039.jpg",
1367
+ "option_A": "Smallpox",
1368
+ "option_B": "Tuberculosis",
1369
+ "option_C": "Chickenpox",
1370
+ "option_D": "Meningitis",
1371
+ "modality_type": "Dermoscopy"
1372
+ },
1373
+ {
1374
+ "dataset": "Monkeypox Skin Image 2022",
1375
+ "question_id": "Monkeypox Skin Image 2022_0107",
1376
+ "question_type": "Disease Diagnosis",
1377
+ "question": "What is the disease illustrated in this image?",
1378
+ "gt_answer": "Smallpox",
1379
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0264.jpg",
1380
+ "option_A": "Meningitis",
1381
+ "option_B": "Measles",
1382
+ "option_C": "Smallpox",
1383
+ "option_D": "Polio",
1384
+ "modality_type": "Dermoscopy"
1385
+ },
1386
+ {
1387
+ "dataset": "Monkeypox Skin Image 2022",
1388
+ "question_id": "Monkeypox Skin Image 2022_0108",
1389
+ "question_type": "Disease Diagnosis",
1390
+ "question": "What is the disease captured in this image?",
1391
+ "gt_answer": "Smallpox",
1392
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0090.jpg",
1393
+ "option_A": "Tuberculosis",
1394
+ "option_B": "Smallpox",
1395
+ "option_C": "Meningitis",
1396
+ "option_D": "Polio",
1397
+ "modality_type": "Dermoscopy"
1398
+ },
1399
+ {
1400
+ "dataset": "Monkeypox Skin Image 2022",
1401
+ "question_id": "Monkeypox Skin Image 2022_0109",
1402
+ "question_type": "Disease Diagnosis",
1403
+ "question": "What is the name of the disease depicted in this image?",
1404
+ "gt_answer": "Smallpox",
1405
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0331.jpg",
1406
+ "option_A": "Smallpox",
1407
+ "option_B": "Chickenpox",
1408
+ "option_C": "Meningitis",
1409
+ "option_D": "Polio",
1410
+ "modality_type": "Dermoscopy"
1411
+ },
1412
+ {
1413
+ "dataset": "Monkeypox Skin Image 2022",
1414
+ "question_id": "Monkeypox Skin Image 2022_0110",
1415
+ "question_type": "Disease Diagnosis",
1416
+ "question": "What is the name of the disease seen in this image?",
1417
+ "gt_answer": "Smallpox",
1418
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0273.jpg",
1419
+ "option_A": "Measles",
1420
+ "option_B": "Chickenpox",
1421
+ "option_C": "Smallpox",
1422
+ "option_D": "Meningitis",
1423
+ "modality_type": "Dermoscopy"
1424
+ },
1425
+ {
1426
+ "dataset": "Monkeypox Skin Image 2022",
1427
+ "question_id": "Monkeypox Skin Image 2022_0111",
1428
+ "question_type": "Disease Diagnosis",
1429
+ "question": "What is the name of the disease depicted in this image?",
1430
+ "gt_answer": "Smallpox",
1431
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0262.jpg",
1432
+ "option_A": "Polio",
1433
+ "option_B": "Chickenpox",
1434
+ "option_C": "Smallpox",
1435
+ "option_D": "Measles",
1436
+ "modality_type": "Dermoscopy"
1437
+ },
1438
+ {
1439
+ "dataset": "Monkeypox Skin Image 2022",
1440
+ "question_id": "Monkeypox Skin Image 2022_0112",
1441
+ "question_type": "Disease Diagnosis",
1442
+ "question": "What is the specific disease showcased in this image?",
1443
+ "gt_answer": "Smallpox",
1444
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0104.jpg",
1445
+ "option_A": "Polio",
1446
+ "option_B": "Measles",
1447
+ "option_C": "Smallpox",
1448
+ "option_D": "Tuberculosis",
1449
+ "modality_type": "Dermoscopy"
1450
+ },
1451
+ {
1452
+ "dataset": "Monkeypox Skin Image 2022",
1453
+ "question_id": "Monkeypox Skin Image 2022_0113",
1454
+ "question_type": "Disease Diagnosis",
1455
+ "question": "What is the name of the disease shown in this image?",
1456
+ "gt_answer": "Smallpox",
1457
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0325.jpg",
1458
+ "option_A": "Measles",
1459
+ "option_B": "Tuberculosis",
1460
+ "option_C": "Chickenpox",
1461
+ "option_D": "Smallpox",
1462
+ "modality_type": "Dermoscopy"
1463
+ },
1464
+ {
1465
+ "dataset": "Monkeypox Skin Image 2022",
1466
+ "question_id": "Monkeypox Skin Image 2022_0114",
1467
+ "question_type": "Disease Diagnosis",
1468
+ "question": "What is the specific disease depicted in this image?",
1469
+ "gt_answer": "Smallpox",
1470
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0091.jpg",
1471
+ "option_A": "Smallpox",
1472
+ "option_B": "Measles",
1473
+ "option_C": "Chickenpox",
1474
+ "option_D": "Polio",
1475
+ "modality_type": "Dermoscopy"
1476
+ },
1477
+ {
1478
+ "dataset": "Monkeypox Skin Image 2022",
1479
+ "question_id": "Monkeypox Skin Image 2022_0115",
1480
+ "question_type": "Disease Diagnosis",
1481
+ "question": "What is the disease shown in this image and can you give a brief summary of its characteristics?",
1482
+ "gt_answer": "Smallpox",
1483
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0259.jpg",
1484
+ "option_A": "Tuberculosis",
1485
+ "option_B": "Smallpox",
1486
+ "option_C": "Meningitis",
1487
+ "option_D": "Polio",
1488
+ "modality_type": "Dermoscopy"
1489
+ },
1490
+ {
1491
+ "dataset": "Monkeypox Skin Image 2022",
1492
+ "question_id": "Monkeypox Skin Image 2022_0116",
1493
+ "question_type": "Disease Diagnosis",
1494
+ "question": "What is the disease depicted in this image and can you give a concise description of the abnormality associated with it?",
1495
+ "gt_answer": "Smallpox",
1496
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0094.jpg",
1497
+ "option_A": "Tuberculosis",
1498
+ "option_B": "Smallpox",
1499
+ "option_C": "Measles",
1500
+ "option_D": "Polio",
1501
+ "modality_type": "Dermoscopy"
1502
+ },
1503
+ {
1504
+ "dataset": "Monkeypox Skin Image 2022",
1505
+ "question_id": "Monkeypox Skin Image 2022_0117",
1506
+ "question_type": "Disease Diagnosis",
1507
+ "question": "What is the specific disease seen in this image?",
1508
+ "gt_answer": "Smallpox",
1509
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0032.jpg",
1510
+ "option_A": "Meningitis",
1511
+ "option_B": "Smallpox",
1512
+ "option_C": "Chickenpox",
1513
+ "option_D": "Polio",
1514
+ "modality_type": "Dermoscopy"
1515
+ },
1516
+ {
1517
+ "dataset": "Monkeypox Skin Image 2022",
1518
+ "question_id": "Monkeypox Skin Image 2022_0118",
1519
+ "question_type": "Disease Diagnosis",
1520
+ "question": "What is the specific disease shown in this image? Can you give a brief summary of its characteristics?",
1521
+ "gt_answer": "Smallpox",
1522
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0290.jpg",
1523
+ "option_A": "Smallpox",
1524
+ "option_B": "Tuberculosis",
1525
+ "option_C": "Chickenpox",
1526
+ "option_D": "Polio",
1527
+ "modality_type": "Dermoscopy"
1528
+ },
1529
+ {
1530
+ "dataset": "Monkeypox Skin Image 2022",
1531
+ "question_id": "Monkeypox Skin Image 2022_0119",
1532
+ "question_type": "Disease Diagnosis",
1533
+ "question": "What specific abnormality is present in this image? Can you provide a brief overview of this disease?",
1534
+ "gt_answer": "Smallpox",
1535
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0034.jpg",
1536
+ "option_A": "Tuberculosis",
1537
+ "option_B": "Chickenpox",
1538
+ "option_C": "Polio",
1539
+ "option_D": "Smallpox",
1540
+ "modality_type": "Dermoscopy"
1541
+ },
1542
+ {
1543
+ "dataset": "Monkeypox Skin Image 2022",
1544
+ "question_id": "Monkeypox Skin Image 2022_0120",
1545
+ "question_type": "Disease Diagnosis",
1546
+ "question": "What is the specific disease depicted in this image? Can you give a concise summary of this condition?",
1547
+ "gt_answer": "Smallpox",
1548
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0236.jpg",
1549
+ "option_A": "Meningitis",
1550
+ "option_B": "Smallpox",
1551
+ "option_C": "Chickenpox",
1552
+ "option_D": "Tuberculosis",
1553
+ "modality_type": "Dermoscopy"
1554
+ },
1555
+ {
1556
+ "dataset": "Monkeypox Skin Image 2022",
1557
+ "question_id": "Monkeypox Skin Image 2022_0121",
1558
+ "question_type": "Disease Diagnosis",
1559
+ "question": "What is the particular anomaly observed in this image?",
1560
+ "gt_answer": "Smallpox",
1561
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0324.jpg",
1562
+ "option_A": "Polio",
1563
+ "option_B": "Meningitis",
1564
+ "option_C": "Measles",
1565
+ "option_D": "Smallpox",
1566
+ "modality_type": "Dermoscopy"
1567
+ },
1568
+ {
1569
+ "dataset": "Monkeypox Skin Image 2022",
1570
+ "question_id": "Monkeypox Skin Image 2022_0122",
1571
+ "question_type": "Disease Diagnosis",
1572
+ "question": "What is the particular anomaly depicted in this image?",
1573
+ "gt_answer": "Smallpox",
1574
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0033.jpg",
1575
+ "option_A": "Measles",
1576
+ "option_B": "Smallpox",
1577
+ "option_C": "Tuberculosis",
1578
+ "option_D": "Chickenpox",
1579
+ "modality_type": "Dermoscopy"
1580
+ },
1581
+ {
1582
+ "dataset": "Monkeypox Skin Image 2022",
1583
+ "question_id": "Monkeypox Skin Image 2022_0123",
1584
+ "question_type": "Disease Diagnosis",
1585
+ "question": "What is the disease shown in this image and can you give a brief summary of its characteristics?",
1586
+ "gt_answer": "Smallpox",
1587
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0215.jpg",
1588
+ "option_A": "Measles",
1589
+ "option_B": "Smallpox",
1590
+ "option_C": "Chickenpox",
1591
+ "option_D": "Polio",
1592
+ "modality_type": "Dermoscopy"
1593
+ },
1594
+ {
1595
+ "dataset": "Monkeypox Skin Image 2022",
1596
+ "question_id": "Monkeypox Skin Image 2022_0124",
1597
+ "question_type": "Disease Diagnosis",
1598
+ "question": "What is the particular anomaly depicted in this image? Can you give a concise summary of the corresponding medical condition?",
1599
+ "gt_answer": "Smallpox",
1600
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0210.jpg",
1601
+ "option_A": "Smallpox",
1602
+ "option_B": "Meningitis",
1603
+ "option_C": "Tuberculosis",
1604
+ "option_D": "Polio",
1605
+ "modality_type": "Dermoscopy"
1606
+ },
1607
+ {
1608
+ "dataset": "Monkeypox Skin Image 2022",
1609
+ "question_id": "Monkeypox Skin Image 2022_0125",
1610
+ "question_type": "Disease Diagnosis",
1611
+ "question": "What is the particular abnormality depicted in this image?",
1612
+ "gt_answer": "Smallpox",
1613
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0060.jpg",
1614
+ "option_A": "Tuberculosis",
1615
+ "option_B": "Smallpox",
1616
+ "option_C": "Polio",
1617
+ "option_D": "Meningitis",
1618
+ "modality_type": "Dermoscopy"
1619
+ },
1620
+ {
1621
+ "dataset": "Monkeypox Skin Image 2022",
1622
+ "question_id": "Monkeypox Skin Image 2022_0126",
1623
+ "question_type": "Disease Diagnosis",
1624
+ "question": "What specific abnormality is present in this image? Can you provide a brief overview of this disease?",
1625
+ "gt_answer": "Smallpox",
1626
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0328.jpg",
1627
+ "option_A": "Polio",
1628
+ "option_B": "Measles",
1629
+ "option_C": "Meningitis",
1630
+ "option_D": "Smallpox",
1631
+ "modality_type": "Dermoscopy"
1632
+ },
1633
+ {
1634
+ "dataset": "Monkeypox Skin Image 2022",
1635
+ "question_id": "Monkeypox Skin Image 2022_0127",
1636
+ "question_type": "Disease Diagnosis",
1637
+ "question": "What is the disease shown in this image and can you give a concise summary of its characteristics?",
1638
+ "gt_answer": "Smallpox",
1639
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0232.jpg",
1640
+ "option_A": "Polio",
1641
+ "option_B": "Chickenpox",
1642
+ "option_C": "Meningitis",
1643
+ "option_D": "Smallpox",
1644
+ "modality_type": "Dermoscopy"
1645
+ },
1646
+ {
1647
+ "dataset": "Monkeypox Skin Image 2022",
1648
+ "question_id": "Monkeypox Skin Image 2022_0128",
1649
+ "question_type": "Disease Diagnosis",
1650
+ "question": "What is the disease depicted in this image, and can you provide a brief summary of its characteristics?",
1651
+ "gt_answer": "Smallpox",
1652
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0237.jpg",
1653
+ "option_A": "Chickenpox",
1654
+ "option_B": "Meningitis",
1655
+ "option_C": "Measles",
1656
+ "option_D": "Smallpox",
1657
+ "modality_type": "Dermoscopy"
1658
+ },
1659
+ {
1660
+ "dataset": "Monkeypox Skin Image 2022",
1661
+ "question_id": "Monkeypox Skin Image 2022_0129",
1662
+ "question_type": "Disease Diagnosis",
1663
+ "question": "What is the specific disease depicted in this image? Can you give a concise description of the abnormality seen in this case?",
1664
+ "gt_answer": "Smallpox",
1665
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0251.jpg",
1666
+ "option_A": "Chickenpox",
1667
+ "option_B": "Tuberculosis",
1668
+ "option_C": "Smallpox",
1669
+ "option_D": "Meningitis",
1670
+ "modality_type": "Dermoscopy"
1671
+ },
1672
+ {
1673
+ "dataset": "Monkeypox Skin Image 2022",
1674
+ "question_id": "Monkeypox Skin Image 2022_0130",
1675
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1788
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+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0079.jpg",
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+ "question": "What disease does this image show? Can you give a brief explanation of the specific abnormality?",
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+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0108.jpg",
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+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0214.jpg",
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+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0140.jpg",
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+ "modality_type": "Dermoscopy"
1879
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1892
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+ "question": "What is the name of the disease depicted in this image?",
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+ "question": "What is the disease shown in this image and could you give a concise description of its characteristics?",
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+ "question": "What is the name of the disease that is depicted in this image?",
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+ "question": "What specific abnormality is present in this image? Can you provide a brief overview of this disease?",
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1964
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0159.jpg",
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1968
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1995
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2013
+ "question_type": "Disease Diagnosis",
2014
+ "question": "What is the specific disease featured in this image?",
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+ },
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2026
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+ "question": "What specific abnormality is present in this image? Can you provide a brief overview of this disease?",
2028
+ "gt_answer": "Smallpox",
2029
+ "image_path": "Images/Monkeypox Skin Image 2022/smallpox/sm_0207.jpg",
2030
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2033
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2034
+ "modality_type": "Dermoscopy"
2035
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2039
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2040
+ "question": "What is the disease shown in this image, and can you give a brief description of its specific abnormality?",
2041
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2042
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+ "modality_type": "Dermoscopy"
2048
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2052
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2053
+ "question": "What specific abnormality is present in this image? Can you provide a brief overview of this disease?",
2054
+ "gt_answer": "Smallpox",
2055
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+ "modality_type": "Dermoscopy"
2061
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2066
+ "question": "What is the disease depicted in this image and can you provide a concise summary of its characteristics?",
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2079
+ "question": "What specific abnormality is present in this image? Can you provide a brief overview of this disease?",
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+ "question": "What specific abnormality is present in this image? Can you provide a brief overview of this disease?",
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+ "gt_answer": "Smallpox",
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+ "modality_type": "Dermoscopy"
2100
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+ ]
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Open-access/Retinal OCT-C8.json ADDED
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Open-access/Yangxi.json ADDED
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