Datasets:
File size: 5,692 Bytes
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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
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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
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dtype: string
- name: option2
dtype: string
- name: option3
dtype: string
- name: option4
dtype: string
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dtype: string
- name: vocab
dtype: string
- name: level
dtype: string
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num_examples: 4
- name: test
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num_examples: 5000
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dataset_size: 3702191
- config_name: icd10cm_hard
features:
- name: question_id
dtype: int64
- name: answer
dtype: string
- name: answer_id
dtype: string
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dtype: string
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dtype: string
- name: option3
dtype: string
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dtype: string
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dtype: string
- name: vocab
dtype: string
- name: level
dtype: string
splits:
- name: dev
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num_examples: 4
- name: test
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num_examples: 5000
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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
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dtype: string
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dtype: string
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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](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_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%)
``` |