mteb/CMedQAv1-reranking
CMedQAv1-reranking An MTEB dataset Massive Text Embedding Benchmark Chinese community medical question answering Task category t2t Domains Medical, Written Reference https://github.com/zhangsheng93/cMedQA How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["CMedQAv1-reranking"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CMedQAv1-reranking.
| Author / organization | mteb |
|---|---|
| License (as declared) | unknown |
| Downloads | 1.8K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 February 2025 |
| Last updated at source | 3 May 2025 |
Popularity, last 3 days
1,827 now (-15 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: CMedQAv1-reranking An MTEB dataset Massive Text Embedding Benchmark Chinese community medical question answering Task category t2t Domains Medical, Written Reference https://github.com/zhangsheng93/cMedQA How to evaluate on this task You ca → CMedQAv1-reranking An MTEB dataset Massive Text Embedding Benchmark Chinese community medical question answering Task category t2t Domains Medical, Written Reference https://github.com/zhangsheng93/cMedQA How to evaluate on this task You ca
Changes detected by Silytics between refreshes of the source.
More from mteb
- mteb/resultsDataset
- mteb/sts12-stsDataset
- mteb/nfcorpusDataset
- mteb/banking77Dataset
- mteb/amazon_massive_intentDataset
- mteb/scifactDataset
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 Information may be incomplete or out of date.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.