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---
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: "Pubmed/qrels/test.tsv"
# - config_name: corpus
# data_files:
# - split: corpus
# path: "Pubmed/corpus.jsonl"
# - config_name: queries
# data_files:
# - split: queries
# path: "Pubmed/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 be found in the ```images.zip``` file, where the images have been sorted based on their medical disciplines. |