Datasets:
metadata
dataset_info:
- config_name: all
features:
- name: question_id
dtype: int64
- name: answer
dtype: string
- name: answer_id
dtype: string
- name: option1
dtype: string
- name: option2
dtype: string
- name: option3
dtype: string
- name: option4
dtype: string
- name: question
dtype: string
- name: vocab
dtype: string
- name: level
dtype: string
splits:
- name: dev
num_bytes: 9728
num_examples: 12
- name: test
num_bytes: 3732070
num_examples: 6000
download_size: 1488812
dataset_size: 3741798
- config_name: icd10cm_easy
features:
- name: question_id
dtype: int64
- name: answer
dtype: string
- name: answer_id
dtype: string
- name: option1
dtype: string
- name: option2
dtype: string
- name: option3
dtype: string
- name: option4
dtype: string
- name: question
dtype: string
- name: vocab
dtype: string
- name: level
dtype: string
splits:
- name: dev
num_bytes: 2555
num_examples: 4
- name: test
num_bytes: 1408767
num_examples: 2000
download_size: 583061
dataset_size: 1411322
- config_name: icd10cm_hard
features:
- name: question_id
dtype: int64
- name: answer
dtype: string
- name: answer_id
dtype: string
- name: option1
dtype: string
- name: option2
dtype: string
- name: option3
dtype: string
- name: option4
dtype: string
- name: question
dtype: string
- name: vocab
dtype: string
- name: level
dtype: string
splits:
- name: dev
num_bytes: 4319
num_examples: 4
- name: test
num_bytes: 1198623
num_examples: 2000
download_size: 494138
dataset_size: 1202942
- config_name: icd10cm_medium
features:
- name: question_id
dtype: int64
- name: answer
dtype: string
- name: answer_id
dtype: string
- name: option1
dtype: string
- name: option2
dtype: string
- name: option3
dtype: string
- name: option4
dtype: string
- name: question
dtype: string
- name: vocab
dtype: string
- name: level
dtype: string
splits:
- name: dev
num_bytes: 2854
num_examples: 4
- name: test
num_bytes: 1124680
num_examples: 2000
download_size: 499765
dataset_size: 1127534
configs:
- config_name: all
data_files:
- split: dev
path: all/dev-*
- split: test
path: all/test-*
- config_name: icd10cm_easy
data_files:
- split: dev
path: icd10cm_easy/dev-*
- split: test
path: icd10cm_easy/test-*
- config_name: icd10cm_hard
data_files:
- split: dev
path: icd10cm_hard/dev-*
- split: test
path: icd10cm_hard/test-*
- config_name: icd10cm_medium
data_files:
- split: dev
path: icd10cm_medium/dev-*
- split: test
path: icd10cm_medium/test-*
license: mit
task_categories:
- text-classification
tags:
- medical
pretty_name: MedARC 2K per Split Subsample of MedConceptsQA
size_categories:
- 1K<n<10K
Dataset Card for MedConceptsQA 2K Sample for MedARC
This is a hierarchically stratified sample of the ICD10-CM coding system from MedConceptsQA. This dataset was sampled such that maximum coverage across all levels of the ICD-10 hierarchy to be as representative as possible while constraining the dataset to a reasonable size for evaluation and potential reinforcement learning.
Users can generate their own sampling of MedConceptsQA via this generator script.
Hierarchy Coverage
Full details can be found in medarc_2k_report.txt.