README.md

metadata

license: mit
task_categories:
  - question-answering
  - image-to-text
language:
  - en
  - zh
size_categories:
  - 100K<n<1M

ClinBench-HPB_fairness

This dataset contains 348,216 examples for medical fairness evaluation.

Dataset Description

This dataset includes medical questions with fairness attributes injected for bias evaluation in medical AI systems.

Dataset Structure

Data Fields

The dataset contains the following fields:

• source_file: Dataset field
• original_index: Original question before fairness injection
• question: Rewritten question with fairness attribute
• options: Dataset field
• answer: Dataset field
• answer_format: Dataset field
• disease_domain: Dataset field
• inquiry_type: Dataset field
• original_question: Original question before fairness injection
• fairness_attribute_category: Fairness attribute information
• fairness_attribute_name: Fairness attribute information
• fairness_attribute_value: Fairness attribute information

Dataset Statistics

• Total examples: 348,216
• Features: 12

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("JiayiHe/ClinBench-HPB_fairness")

# Access examples
for example in dataset['train']:
    print(example['question'])
    print(example['fairness_attribute_name'])
    print(example['fairness_attribute_value'])

Citation

If you use this dataset, please cite the original source and mention the fairness evaluation framework.

License

MIT License