| --- |
| 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 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: "Anatomy and Physiology/qrels/test.tsv" |
| - config_name: corpus |
| data_files: |
| - split: corpus |
| path: "Anatomy and Physiology/corpus.jsonl" |
| - config_name: queries |
| data_files: |
| - split: queries |
| path: "Anatomy and Physiology/queries.jsonl" |
| --- |
| # M3Retrieve: Benchmarking Multimodal Retrieval for Medicine |
| Arkadeep Acharya, Akash Ghosh, Pradeepika Verma, Sriparna Saha, Kitsuchart Pashupa |
|
|
| 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 we foudn in the ```images.zip``` file where the images have been sorted based in there medical disciplines. |
