Datasets:

araag2
/

MedMCQA

	---
	dataset_info:
	- config_name: conversational
	features:
	- name: id
	dtype: string
	- name: prompt
	list:
	- name: role
	dtype: string
	- name: content
	dtype: string
	- name: completion
	list:
	- name: role
	dtype: string
	- name: content
	dtype: string
	- name: Label
	dtype: string
	splits:
	- name: train
	num_bytes: 125768683
	num_examples: 182822
	- name: dev
	num_bytes: 2950917
	num_examples: 4183
	- name: test
	num_bytes: 3894526
	num_examples: 6150
	download_size: 36295736
	dataset_size: 132614126
	- config_name: processed
	features:
	- name: Question
	dtype: string
	- name: Explanation
	dtype: string
	- name: Option_A
	dtype: string
	- name: Option_B
	dtype: string
	- name: Option_C
	dtype: string
	- name: Option_D
	dtype: string
	- name: id
	dtype: string
	- name: Label
	dtype: string
	splits:
	- name: train
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	num_examples: 182822
	- name: dev
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	num_examples: 4183
	- name: test
	num_bytes: 1201595
	num_examples: 6150
	download_size: 86571328
	dataset_size: 127710579
	- config_name: source
	features:
	- name: question
	dtype: string
	- name: exp
	dtype: string
	- name: cop
	dtype: int64
	- name: opa
	dtype: string
	- name: opb
	dtype: string
	- name: opc
	dtype: string
	- name: opd
	dtype: string
	- name: subject_name
	dtype: string
	- name: topic_name
	dtype: string
	- name: id
	dtype: string
	- name: choice_type
	dtype: string
	splits:
	- name: train
	num_bytes: 131903307
	num_examples: 182822
	- name: dev
	num_bytes: 2221428
	num_examples: 4183
	- name: test
	num_bytes: 1400888
	num_examples: 6150
	download_size: 87908602
	dataset_size: 135525623
	configs:
	- config_name: conversational
	data_files:
	- split: train
	path: conversational/train-*
	- split: dev
	path: conversational/dev-*
	- split: test
	path: conversational/test-*
	- config_name: processed
	data_files:
	- split: train
	path: processed/train-*
	- split: dev
	path: processed/dev-*
	- split: test
	path: processed/test-*
	- config_name: source
	data_files:
	- split: train
	path: source/train-*
	- split: dev
	path: source/dev-*
	- split: test
	path: source/test-*
	license: cc-by-sa-4.0
	task_categories:
	- multiple-choice
	- question-answering
	language:
	- en
	pretty_name: MedMCQA
	size_categories:
	- 100K<n<1M
	tags:
	- medical
	---

	# MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

	## Dataset Description

	\| \| Links \|
	\|:-------------------------------:\|:-------------:\|
	\| Homepage: \| [Github.io](https://medmcqa.github.io/) \|
	\| Repository: \| [Github](https://github.com/MedMCQA/MedMCQA) \|
	\| Paper: \| [arXiv](https://arxiv.org/abs/2203.14371) \|
	\| Leaderboard: \| [Papers with Code](https://paperswithcode.com/dataset/medmcqa) \|
	\| Contact (Original Authors): \| Aaditya Ura aadityaura@gmail.com), Logesh logesh.umapathi@saama.com \|
	\| Contact (Curator): \| [Artur Guimarães](https://araag2.netlify.app/) (artur.guimas@gmail.com) \|


	### Dataset Summary

	`MedMCQA has more than 194k high-quality AIIMS & NEET PG entrance exam MCQs covering 2.4k healthcare topics and 21 medical subjects are collected with an average token length of 12.77 and high topical diversity.

	Each sample contains a question, correct answer(s), and other options which require a deeper language understanding as it tests the 10+ reasoning abilities of a model across a wide range of medical subjects & topics. A detailed explanation of the solution, along with the above information, is provided in this study.

	MedMCQA provides an open-source dataset for the Natural Language Processing community.
	It is expected that this dataset would facilitate future research toward achieving better QA systems.`

	### Data Instances

	#### Source Format

	```
	{
	"question":"A 40-year-old man presents with 5 days of productive cough and fever. Pseudomonas aeruginosa is isolated from a pulmonary abscess. CBC shows an acute effect characterized by marked leukocytosis (50,000 mL) and the differential count reveals a shift to left in granulocytes. Which of the following terms best describes these hematologic findings?",
	"exp": "Circulating levels of leukocytes and their precursors may occasionally reach very high levels (>50,000 WBC mL). These extreme elevations are sometimes called leukemoid reactions because they are similar to the white cell counts observed in leukemia, from which they must be distinguished. The leukocytosis occurs initially because of the accelerated release of granulocytes from the bone marrow (caused by cytokines, including TNF and IL-1) There is a rise in the number of both mature and immature neutrophils in the blood, referred to as a shift to the left. In contrast to bacterial infections, viral infections (including infectious mononucleosis) are characterized by lymphocytosis Parasitic infestations and certain allergic reactions cause eosinophilia, an increase in the number of circulating eosinophils. Leukopenia is defined as an absolute decrease in the circulating WBC count.",
	"cop":1,
	"opa":"Leukemoid reaction",
	"opb":"Leukopenia",
	"opc":"Myeloid metaplasia",
	"opd":"Neutrophilia",
	"subject_name":"Pathology",
	"topic_name":"Basic Concepts and Vascular changes of Acute Inflammation",
	"id":"4e1715fe-0bc3-494e-b6eb-2d4617245aef",
	"choice_type":"single"
	}
	```
	### Data Fields

	#### Source Format

	- `id` : a string question identifier for each example
	- `question` : question text (a string)
	- `opa` : Option A
	- `opb` : Option B
	- `opc` : Option C
	- `opd` : Option D
	- `cop` : Correct option (Answer of the question)
	- `choice_type` : Question is `single-choice` or `multi-choice`
	- `exp` : Expert's explanation of the answer
	- `subject_name` : Medical Subject name of the particular question
	- `topic_name` : Medical topic name from the particular subject

	### Data Splits

	TO:DO

	## Additional Information

	### Dataset Curators

	#### Original Paper

	- Ankit Pal (ankit.pal@saama.com) - Saama AI Research Chennai, India
	- Logesh Kumar Umapathi (logesh.umapathi@saama.com) - Saama AI Research Chennai, India
	- Malaikannan Sankarasubbu (malaikannan.sankarasubbu@saama.com) - Saama AI Research Chennai, India

	#### Huggingface Curator

	- [Artur Guimarães](https://araag2.netlify.app/) (artur.guimas@gmail.com) - INESC-ID / University of Lisbon - Instituto Superior Técnico

	### Licensing Information

	[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/deed.en)

	### Citation Information

	```
	@InProceedings{pmlr-v174-pal22a,
	title = {MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering},
	author = {Pal, Ankit and Umapathi, Logesh Kumar and Sankarasubbu, Malaikannan},
	booktitle = {Proceedings of the Conference on Health, Inference, and Learning},
	pages = {248--260},
	year = {2022},
	editor = {Flores, Gerardo and Chen, George H and Pollard, Tom and Ho, Joyce C and Naumann, Tristan},
	volume = {174},
	series = {Proceedings of Machine Learning Research},
	month = {07--08 Apr},
	publisher = {PMLR},
	pdf = {https://proceedings.mlr.press/v174/pal22a/pal22a.pdf},
	url = {https://proceedings.mlr.press/v174/pal22a.html},
	}
	```

	[10.1016/j.patter.2022.100445](https://doi.org/10.1016/j.patter.2022.100445)

	### Contributions

	Thanks to [araag2](https://github.com/araag2) for adding this dataset.