mteb/AlloProfClusteringS2S
AlloProfClusteringS2S An MTEB dataset Massive Text Embedding Benchmark Clustering of document titles from Allo Prof dataset. Clustering of 10 sets on the document topic. Task category t2c Domains Encyclopaedic, Written Reference https://huggingface.co/datasets/lyon-nlp/alloprof 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(["AlloProfClusteringS2S"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/AlloProfClusteringS2S.
| Author / organization | mteb |
|---|---|
| License (as declared) | mit |
| Downloads | 142 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 May 2025 |
| Last updated at source | 6 May 2025 |
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- 17 Oct 2026 Description: AlloProfClusteringS2S An MTEB dataset Massive Text Embedding Benchmark Clustering of document titles from Allo Prof dataset. Clustering of 10 sets on the document topic. Task category t2c Domains Encyclopaedic, Written Referencehttps://hugg → AlloProfClusteringS2S An MTEB dataset Massive Text Embedding Benchmark Clustering of document titles from Allo Prof dataset. Clustering of 10 sets on the document topic. Task category t2c Domains Encyclopaedic, Written Reference https://hug
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