mteb/CMedQAv2-reranking
CMedQAv2-reranking An MTEB dataset Massive Text Embedding Benchmark Chinese community medical question answering Task category t2t Domains Medical, Written Reference https://github.com/zhangsheng93/cMedQA2 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(["CMedQAv2-reranking"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CMedQAv2-reranking.
| Author / organization | mteb |
|---|---|
| Downloads | 1.8K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 February 2025 |
| Last updated at source | 4 May 2025 |
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- 17 Oct 2026 Description: CMedQAv2-reranking An MTEB dataset Massive Text Embedding Benchmark Chinese community medical question answering Task category t2t Domains Medical, Written Reference https://github.com/zhangsheng93/cMedQA2 How to evaluate on this task You c → CMedQAv2-reranking An MTEB dataset Massive Text Embedding Benchmark Chinese community medical question answering Task category t2t Domains Medical, Written Reference https://github.com/zhangsheng93/cMedQA2 How to evaluate on this task You c
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