JiayiHe/DrVD-Bench_fairness

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

# DRVD-Bench Fairness

This dataset contains 675,328 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
- `unique_id`: Dataset field
- `image_paths`: Dataset field
- `question`: Rewritten question with fairness attribute
- `options`: Dataset field
- `answer`: Dataset field
- `modality`: Dataset field
- `task`: Dataset field
- `options_num`: Dataset field
- `source`: 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: 675,328
- Features: 15

## Usage

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("JiayiHe/DRVD-Bench_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