|
|
--- |
|
|
license: cc-by-sa-4.0 |
|
|
--- |
|
|
# WHB Subset |
|
|
|
|
|
A curated evaluation dataset for assessing large language models (LLMs) in women’s health–related tasks. The dataset consists of model stumps paired with expert-written justifications describing observed errors. |
|
|
|
|
|
The dataset was developed in collaboration with women’s health experts, including clinicians, pharmacists, and researchers. The model stumps represent realistic prompts drawn from: |
|
|
- Patient-facing scenarios |
|
|
- Clinician decision-making contexts |
|
|
- Evidence-based medical questions |
|
|
|
|
|
Each prompt is paired with an expert justification explaining the identified issue. |
|
|
|
|
|
## Dataset Description |
|
|
|
|
|
This subset is derived from the **Women’s Health Benchmark (WHB)** and contains 20 representative model stumps (expert prompts) with corresponding expert justifications. |
|
|
|
|
|
## Dataset Statistics |
|
|
|
|
|
- **Model stumps:** 20 |
|
|
- **Expert justifications:** 20 |
|
|
- **Language:** English |
|
|
- **Generation date:** November 20, 2025 |
|
|
|
