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metadata
license: apache-2.0
task-categories:
  - question-answering
language:
  - en
tags:
  - medical
  - reinforcement-learning
  - agent
size_categories:
  - 10K<n<100K
source_datasets:
  - ofir408/MedConceptsQA
annotations_creators:
  - machine-generated
pretty_name: MedConceptsQA 15K Sample for MedARC
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: 10412499
        num_examples: 15000
    download_size: 3781436
    dataset_size: 10422227
  - config_name: default
    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: icd10cm_easy
        num_bytes: 3708173
        num_examples: 5000
      - name: icd10cm_medium
        num_bytes: 3280944
        num_examples: 5000
      - name: icd10cm_hard
        num_bytes: 3452547
        num_examples: 5000
    download_size: 3933246
    dataset_size: 10441664
  - 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: 3699636
        num_examples: 5000
    download_size: 1445808
    dataset_size: 3702191
  - 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: 3417134
        num_examples: 5000
    download_size: 1233636
    dataset_size: 3421453
  - 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: 3295729
        num_examples: 5000
    download_size: 1290247
    dataset_size: 3298583
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-*
task_categories:
  - text-classification
  - question-answering

Dataset Card for MedConceptsQA 15K 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_15k_report.txt. The below reports the percentage of chapters, categories, subcategories and 'full_codes' (the most granular level of the classification) that are covered by this sampling.

Total samples: 15,000

ICD10CM:

  Available nodes in dataset:
    Chapters     : 26
    Categories   : 1914
    Subcategories: 46380
    Full codes   : 95513

  AGGREGATE COVERAGE (across all difficulties):
    Chapters     : 26 / 26 (100.0%)
    Categories   : 1914 / 1914 (100.0%)
    Subcategories: 11672 / 46380 (25.2%)
    Full codes   : 13704 / 95513 (14.3%)

  Coverage by difficulty:

  EASY:
    Chapters     : 26 / 26 (100.0%)
    Categories   : 1913 / 1914 (99.9%)
    Subcategories: 4553 / 46380 (9.8%)
    Full codes   : 5000 / 95513 (5.2%)

  MEDIUM:
    Chapters     : 25 / 26 (96.2%)
    Categories   : 1899 / 1914 (99.2%)
    Subcategories: 4510 / 46380 (9.7%)
    Full codes   : 5000 / 95513 (5.2%)

  HARD:
    Chapters     : 25 / 26 (96.2%)
    Categories   : 1708 / 1914 (89.2%)
    Subcategories: 4528 / 46380 (9.8%)
    Full codes   : 5000 / 95513 (5.2%)