| | --- |
| | license: cc-by-sa-4.0 |
| | language: |
| | - en |
| | tags: |
| | - biology |
| | - medical |
| | size_categories: |
| | - 100K<n<1M |
| |
|
| | dataset_info: |
| | - config_name: default |
| | features: |
| | - name: query-id |
| | dtype: string |
| | - name: corpus-id |
| | dtype: string |
| | - name: score |
| | dtype: float64 |
| | - config_name: corpus |
| | features: |
| | - name: _id |
| | dtype: string |
| | - name: text |
| | dtype: string |
| | - config_name: queries |
| | features: |
| | - name: _id |
| | dtype: string |
| | - name: caption |
| | dtype: string |
| | - name: image_path |
| | dtype: string |
| |
|
| | --- |
| | # M3Retrieve: Benchmarking Multimodal Retrieval for Medicine |
| | This contains a sample of the M3Retrevie Benchmark. The entire dataset will be released on the successful acceptance of the paper. |
| | Each of the folder contains 3 files ```queries.jsonl```, ```corpus.jsonl```, ```qrels/test.tsv``` containing the queries, corpus and relevancy mapping files respectively. |
| | The images can be found in the ```images.zip``` file, where the images have been sorted based on their medical disciplines. |
