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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. |