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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 11 new columns ({'Patient Age', 'OriginalImagePixelSpacing[x', 'Patient Gender', 'Patient ID', 'Follow-up #', 'Height]', 'View Position', 'OriginalImage[Width', 'Image Index', 'Finding Labels', 'y]'}) and 7 missing columns ({'bbox', 'image_index', 'image', 'height', 'item_id', 'width', 'ann'}).

This happened while the json dataset builder was generating data using

zip://MedVision-MT/chestxray_cd/test.json::/tmp/hf-datasets-cache/medium/datasets/74874073029572-config-parquet-and-info-Carryyy-MedVision-MT-a09d1e60/hub/datasets--Carryyy--MedVision-MT/snapshots/3c146724bc4b0a6eac31df16ceb914443ec6cf53/MedVision-MT.zip

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Image Index: string
              Finding Labels: string
              Follow-up #: string
              Patient ID: string
              Patient Age: string
              Patient Gender: string
              View Position: string
              OriginalImage[Width: string
              Height]: string
              OriginalImagePixelSpacing[x: string
              y]: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1552
              to
              {'image': Value('string'), 'ann': Value('string'), 'bbox': List(Value('float64')), 'image_index': Value('string'), 'item_id': Value('string'), 'width': Value('int64'), 'height': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 11 new columns ({'Patient Age', 'OriginalImagePixelSpacing[x', 'Patient Gender', 'Patient ID', 'Follow-up #', 'Height]', 'View Position', 'OriginalImage[Width', 'Image Index', 'Finding Labels', 'y]'}) and 7 missing columns ({'bbox', 'image_index', 'image', 'height', 'item_id', 'width', 'ann'}).
              
              This happened while the json dataset builder was generating data using
              
              zip://MedVision-MT/chestxray_cd/test.json::/tmp/hf-datasets-cache/medium/datasets/74874073029572-config-parquet-and-info-Carryyy-MedVision-MT-a09d1e60/hub/datasets--Carryyy--MedVision-MT/snapshots/3c146724bc4b0a6eac31df16ceb914443ec6cf53/MedVision-MT.zip
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

image
string
ann
string
bbox
list
image_index
string
item_id
string
width
int64
height
int64
00010481_021.png
Atelectasis
[ 763.118644067797, 551.864406779661, 160.542372881356, 68.3389830508475 ]
00010481_021
0
1,024
1,024
00028173_016.png
Atelectasis
[ 564.610169491525, 500.375148967161, 112.813559322034, 137.762711864407 ]
00028173_016
1
1,024
1,024
00022416_049.png
Atelectasis
[ 788.859259259259, 426.937566137566, 83.437037037037, 130.031746031746 ]
00022416_049
2
1,024
1,024
00019373_036.png
Atelectasis
[ 667.496296296296, 406.349206349206, 172.292063492064, 112.69417989418 ]
00019373_036
3
1,024
1,024
00000468_017.png
Atelectasis
[ 149.152542372881, 518.815826933263, 112.813559322034, 45.5593220338983 ]
00000468_017
4
1,024
1,024
00030106_008.png
Atelectasis
[ 225.084745762712, 517.731081170551, 229.966101694915, 269.016949152542 ]
00030106_008
5
1,024
1,024
00002350_001.png
Atelectasis
[ 726.010582010582, 481.11746031746, 148.45291005291, 88.8550264550265 ]
00002350_001
6
1,024
1,024
00025769_001.png
Atelectasis
[ 701.838229166667, 572.491857638889, 103.537777777778, 63.7155555555556 ]
00025769_001
7
1,024
1,024
00002856_009.png
Atelectasis
[ 217.803174603175, 637.155555555556, 216.719576719577, 101.858201058201 ]
00002856_009
8
1,024
1,024
00023176_010.png
Atelectasis
[ 280.406779661017, 505.79887778072, 675.796610169491, 157.28813559322 ]
00023176_010
9
1,024
1,024
00012291_008.png
Atelectasis
[ 232.677966101695, 631.629386255297, 226.71186440678, 74.8474576271186 ]
00012291_008
10
1,024
1,024
00020408_037.png
Atelectasis
[ 190.372881355932, 632.714132018009, 227.796610169492, 160.542372881356 ]
00020408_037
11
1,024
1,024
00009779_001.png
Atelectasis
[ 711.92380952381, 494.120634920635, 162.539682539683, 69.3502645502646 ]
00009779_001
12
1,024
1,024
00015831_008.png
Atelectasis
[ 621.985185185185, 542.88253968254, 118.112169312169, 163.62328042328 ]
00015831_008
13
1,024
1,024
00000211_010.png
Atelectasis
[ 353.084745762712, 535.087013373941, 101.966101694915, 168.135593220339 ]
00000211_010
14
1,024
1,024
00013508_001.png
Atelectasis
[ 323.995767195767, 592.728042328042, 177.710052910053, 91.0222222222222 ]
00013508_001
15
1,024
1,024
00001170_046.png
Atelectasis
[ 635.118644067797, 383.22260659428, 245.152542372881, 194.169491525424 ]
00001170_046
16
1,024
1,024
00016267_000.png
Atelectasis
[ 178.440677966102, 599.087013373941, 232.135593220339, 216.949152542373 ]
00016267_000
17
1,024
1,024
00028625_000.png
Atelectasis
[ 338.08253968254, 450.77671957672, 120.279365079365, 96.4402116402116 ]
00028625_000
18
1,024
1,024
00003945_004.png
Atelectasis
[ 68.8813559322034, 471.087013373941, 305.898305084746, 168.135593220339 ]
00003945_004
19
1,024
1,024
00018762_002.png
Atelectasis
[ 603.661016949153, 616.786447298729, 257.084745762712, 81.3559322033898 ]
00018762_002
20
1,024
1,024
00014253_010.png
Atelectasis
[ 36.842328042328, 247.060317460317, 245.97671957672, 83.437037037037 ]
00014253_010
21
1,024
1,024
00005089_014.png
Atelectasis
[ 179.877248677249, 476.783068783069, 138.700529100529, 71.5174603174603 ]
00005089_014
22
1,024
1,024
00011827_003.png
Atelectasis
[ 568.888888888889, 471.365079365079, 306.658201058201, 123.530158730159 ]
00011827_003
23
1,024
1,024
00020124_003.png
Atelectasis
[ 175.047118055556, 580.456302083333, 244.622222222222, 103.537777777778 ]
00020124_003
24
1,024
1,024
00020393_003.png
Atelectasis
[ 681.583068783069, 541.798941798942, 221.053968253968, 96.4402116402116 ]
00020393_003
25
1,024
1,024
00007710_000.png
Atelectasis
[ 624.152380952381, 439.940740740741, 216.719576719577, 86.6878306878307 ]
00007710_000
26
1,024
1,024
00012515_002.png
Atelectasis
[ 289.084745762712, 638.137860831568, 83.5254237288136, 56.4067796610169 ]
00012515_002
27
1,024
1,024
00030635_001.png
Atelectasis
[ 576.542372881356, 490.612437102754, 240.813559322034, 222.372881355932 ]
00030635_001
28
1,024
1,024
00021796_000.png
Atelectasis
[ 187.118644067797, 410.341250662076, 176.813559322034, 180.067796610169 ]
00021796_000
29
1,024
1,024
00025368_014.png
Atelectasis
[ 294.508474576271, 684.763837394068, 117.152542372881, 84.6101694915254 ]
00025368_014
30
1,024
1,024
00003440_000.png
Atelectasis
[ 217.803174603175, 254.645502645503, 123.530158730159, 80.1862433862434 ]
00003440_000
31
1,024
1,024
00016987_019.png
Atelectasis
[ 264.397883597884, 607.898412698413, 107.27619047619, 76.9354497354497 ]
00016987_019
32
1,024
1,024
00019706_014.png
Atelectasis
[ 663.161904761905, 435.606349206349, 171.208465608466, 140.867724867725 ]
00019706_014
33
1,024
1,024
00000149_006.png
Atelectasis
[ 603.661016949153, 460.239555746822, 249.491525423729, 90.0338983050847 ]
00000149_006
34
1,024
1,024
00001153_004.png
Atelectasis
[ 307.029340277778, 253.914079861111, 97.8488888888889, 439.182222222222 ]
00001153_004
35
1,024
1,024
00000211_041.png
Cardiomegaly
[ 224, 416.849725238347, 512, 430.64406779661 ]
00000211_041
36
1,024
1,024
00002763_031.png
Cardiomegaly
[ 402.983050847458, 355.525423728814, 476.203389830508, 387.254237288136 ]
00002763_031
37
1,024
1,024
00021845_001.png
Cardiomegaly
[ 307.741798941799, 373.84126984127, 387.928042328042, 364.088888888889 ]
00021845_001
38
1,024
1,024
00011322_002.png
Cardiomegaly
[ 346.751322751323, 356.503703703704, 507.12380952381, 485.451851851852 ]
00011322_002
39
1,024
1,024
00014626_028.png
Cardiomegaly
[ 332.474576271186, 354.440677966102, 438.237288135593, 401.35593220339 ]
00014626_028
40
1,024
1,024
00011402_007.png
Cardiomegaly
[ 204.474576271186, 481.35593220339, 493.559322033898, 342.779661016949 ]
00011402_007
41
1,024
1,024
00022416_018.png
Cardiomegaly
[ 357.587301587302, 423.686772486772, 567.805291005291, 353.25291005291 ]
00022416_018
42
1,024
1,024
00019187_000.png
Cardiomegaly
[ 396.596825396825, 383.593650793651, 464.863492063492, 384.677248677249 ]
00019187_000
43
1,024
1,024
00018187_029.png
Cardiomegaly
[ 342.416931216931, 421.519576719577, 512.541798941799, 460.529100529101 ]
00018187_029
44
1,024
1,024
00015304_001.png
Cardiomegaly
[ 290.404232804233, 334.831746031746, 616.567195767196, 494.120634920635 ]
00015304_001
45
1,024
1,024
00028607_000.png
Cardiomegaly
[ 404.182010582011, 302.32380952381, 497.371428571429, 443.191534391534 ]
00028607_000
46
1,024
1,024
00013615_052.png
Cardiomegaly
[ 351.085714285714, 406.349206349206, 463.779894179894, 356.503703703704 ]
00013615_052
47
1,024
1,024
00027464_033.png
Cardiomegaly
[ 295.822222222222, 229.722751322751, 520.126984126984, 395.513227513228 ]
00027464_033
48
1,024
1,024
00015770_010.png
Cardiomegaly
[ 363.932203389831, 470.002267611229, 451.254237288136, 271.186440677966 ]
00015770_010
49
1,024
1,024
00009705_000.png
Cardiomegaly
[ 338.08253968254, 308.825396825397, 542.88253968254, 370.590476190476 ]
00009705_000
50
1,024
1,024
00014706_018.png
Cardiomegaly
[ 370.440677966102, 447.22260659428, 424.135593220339, 290.71186440678 ]
00014706_018
51
1,024
1,024
00029391_000.png
Cardiomegaly
[ 315.326984126984, 370.590476190476, 485.451851851852, 377.092063492064 ]
00029391_000
52
1,024
1,024
00013062_002.png
Cardiomegaly
[ 352, 340.338983050847, 398.101694915254, 395.932203389831 ]
00013062_002
53
1,024
1,024
00011502_001.png
Cardiomegaly
[ 442.033898305085, 317.559322033898, 366.64406779661, 381.830508474576 ]
00011502_001
54
1,024
1,024
00009608_024.png
Cardiomegaly
[ 394.305084745763, 402.748030323093, 365.559322033898, 341.694915254237 ]
00009608_024
55
1,024
1,024
00029808_003.png
Cardiomegaly
[ 321.627118644068, 410.341250662076, 446.915254237288, 394.847457627119 ]
00029808_003
56
1,024
1,024
00015425_012.png
Cardiomegaly
[ 385.760846560847, 288.237037037037, 445.35873015873, 356.503703703704 ]
00015425_012
57
1,024
1,024
00026338_003.png
Cardiomegaly
[ 352, 345.762711864407, 439.322033898305, 314.576271186441 ]
00026338_003
58
1,024
1,024
00026889_000.png
Cardiomegaly
[ 237.016949152542, 371.796610169492, 593.35593220339, 453.423728813559 ]
00026889_000
59
1,024
1,024
00015563_011.png
Cardiomegaly
[ 320.744973544974, 484.368253968254, 500.622222222222, 450.77671957672 ]
00015563_011
60
1,024
1,024
00025747_000.png
Cardiomegaly
[ 335.915343915344, 371.674074074074, 494.120634920635, 367.339682539683 ]
00025747_000
61
1,024
1,024
00017448_000.png
Cardiomegaly
[ 355.254237288136, 483.019216763771, 478.372881355932, 392.677966101695 ]
00017448_000
62
1,024
1,024
00017514_008.png
Cardiomegaly
[ 346.751322751323, 445.35873015873, 536.380952380952, 335.915343915344 ]
00017514_008
63
1,024
1,024
00018233_057.png
Cardiomegaly
[ 347.661016949153, 385.898305084746, 411.118644067797, 347.118644067797 ]
00018233_057
64
1,024
1,024
00009683_005.png
Effusion
[ 32.5079365079365, 359.754497354497, 274.150264550265, 301.240211640212 ]
00009683_005
65
1,024
1,024
00029596_018.png
Effusion
[ 734.435555555556, 434.953489583333, 102.4, 327.68 ]
00029596_018
66
1,024
1,024
00025252_053.png
Effusion
[ 14.2222222222222, 640.891267361111, 336.782222222222, 160.426666666667 ]
00025252_053
67
1,024
1,024
00016291_002.png
Effusion
[ 617.244444444444, 676.162378472222, 326.542222222222, 78.5066666666667 ]
00016291_002
68
1,024
1,024
00016964_011.png
Effusion
[ 729.884444444444, 553.282378472222, 92.16, 59.1644444444444 ]
00016964_011
69
1,024
1,024
00016837_002.png
Effusion
[ 140.515555555556, 704.606822916667, 258.275555555556, 62.5777777777778 ]
00016837_002
70
1,024
1,024
00016417_008.png
Effusion
[ 785.608465608466, 253.561904761905, 182.044444444444, 619.817989417989 ]
00016417_008
71
1,024
1,024
00022611_001.png
Effusion
[ 749.226666666667, 169.851267361111, 169.528888888889, 374.328888888889 ]
00022611_001
72
1,024
1,024
00019766_023.png
Effusion
[ 734.679365079365, 417.185185185185, 192.880423280423, 315.326984126984 ]
00019766_023
73
1,024
1,024
00025529_018.png
Effusion
[ 724.926984126984, 167.957671957672, 184.21164021164, 603.564021164021 ]
00025529_018
74
1,024
1,024
00013031_005.png
Effusion
[ 19.5047619047619, 418.268783068783, 160.372486772487, 394.42962962962997 ]
00013031_005
75
1,024
1,024
00018253_017.png
Effusion
[ 135.449735449735, 263.314285714286, 147.369312169312, 532.046560846561 ]
00018253_017
76
1,024
1,024
00028509_007.png
Effusion
[ 49.8455026455026, 339.166137566138, 208.050793650794, 563.4708994709 ]
00028509_007
77
1,024
1,024
00008841_025.png
Effusion
[ 155.306666666667, 486.153489583333, 265.102222222222, 101.262222222222 ]
00008841_025
78
1,024
1,024
00028774_047.png
Effusion
[ 53.0962962962963, 488.702645502646, 184.21164021164, 308.825396825397 ]
00028774_047
79
1,024
1,024
00027441_002.png
Effusion
[ 121.362962962963, 135.449735449735, 217.803174603175, 562.387301587302 ]
00027441_002
80
1,024
1,024
00028383_002.png
Effusion
[ 779.946666666667, 771.735711805556, 86.4711111111111, 56.8888888888889 ]
00028383_002
81
1,024
1,024
00028974_016.png
Effusion
[ 769.354497354497, 581.892063492064, 164.706878306878, 196.131216931217 ]
00028974_016
82
1,024
1,024
00028628_015.png
Effusion
[ 168.96, 153.922378472222, 172.942222222222, 409.6 ]
00028628_015
83
1,024
1,024
00030634_000.png
Effusion
[ 141.653333333333, 611.309045138889, 317.44, 96.7111111111111 ]
00030634_000
84
1,024
1,024
00018980_002.png
Effusion
[ 247.060317460317, 174.459259259259, 179.877248677249, 221.053968253968 ]
00018980_002
85
1,024
1,024
00013993_077.png
Effusion
[ 167.822222222222, 407.646822916667, 201.386666666667, 223.004444444444 ]
00013993_077
86
1,024
1,024
00021967_000.png
Effusion
[ 182.044444444444, 92.1058201058201, 365.172486772487, 586.226455026455 ]
00021967_000
87
1,024
1,024
00027875_005.png
Effusion
[ 696.753439153439, 313.159788359788, 266.565079365079, 402.014814814815 ]
00027875_005
88
1,024
1,024
00014398_031.png
Effusion
[ 189.62962962963, 463.779894179894, 188.546031746032, 327.246560846561 ]
00014398_031
89
1,024
1,024
00020482_032.png
Effusion
[ 430.648888888889, 424.713489583333, 282.168888888889, 261.688888888889 ]
00020482_032
90
1,024
1,024
00015058_024.png
Effusion
[ 587.662222222222, 766.046822916667, 308.337777777778, 96.7111111111111 ]
00015058_024
91
1,024
1,024
00009342_000.png
Effusion
[ 858.209523809524, 428.021164021164, 153.870899470899, 253.561904761905 ]
00009342_000
92
1,024
1,024
00027817_001.png
Effusion
[ 760.685714285714, 390.095238095238, 197.214814814815, 367.339682539683 ]
00027817_001
93
1,024
1,024
00001558_016.png
Effusion
[ 85.6042328042328, 419.352380952381, 227.555555555556, 416.101587301587 ]
00001558_016
94
1,024
1,024
00013922_021.png
Infiltrate
[ 580.808465608466, 107.27619047619, 256.812698412698, 302.32380952381 ]
00013922_021
95
1,024
1,024
00021201_010.png
Infiltrate
[ 684.373333333333, 147.095711805556, 215.04, 433.493333333333 ]
00021201_010
96
1,024
1,024
00027441_002.png
Infiltrate
[ 209.134391534392, 341.333333333333, 185.295238095238, 288.237037037037 ]
00027441_002
97
1,024
1,024
00022470_006.png
Infiltrate
[ 192.853333333333, 191.469045138889, 738.417777777778, 626.915555555556 ]
00022470_006
98
1,024
1,024
00020259_002.png
Infiltrate
[ 611.555555555556, 535.077934027778, 249.173333333333, 199.111111111111 ]
00020259_002
99
1,024
1,024
End of preview.
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