yesilhealth/Health_Benchmarks
LLM Health Benchmarks Dataset by Yesil Science The LLM Health Benchmarks Dataset is a specialized resource for evaluating large language models (LLMs) in different medical specialties. It provides structured question-answer pairs designed to test the performance of AI models in understanding and generating domain-specific knowledge. Primary Purpose This dataset is built to: Benchmark LLMs in medical specialties and subfields. Assess the accuracy and contextual… See the full description on the dataset page: https://huggingface.co/datasets/yesilhealth/Health_Benchmarks.
| Author / organization | yesilhealth |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 174 (as reported by Hugging Face) |
| Likes | 11 |
| Created | 23 December 2024 |
| Last updated at source | 20 April 2025 |
Popularity, last 3 days
174 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- hooman650/MedQwen3B-ReasonerModel · used to train
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.