| --- |
| 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. |
