metadata
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: title
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.