README.md

---
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](https://github.com/sameed-khan/medconceptsqa-sample-generator).

- [Original MedConceptsQA Paper](https://www.sciencedirect.com/science/article/pii/S0010482524011740)
- [MedConceptsQA Github Repo](https://github.com/nadavlab/MedConceptsQA)

## Hierarchy Coverage

Full details can be found in `medarc_2k_report.txt`.