mteb/CLSClusteringP2P.v2
CLSClusteringP2P.v2 An MTEB dataset Massive Text Embedding Benchmark Clustering of titles + abstract from CLS dataset. Clustering of 13 sets on the main category. Task category t2c Domains Academic, Written Reference https://arxiv.org/abs/2209.05034 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(["CLSClusteringP2P.v2"]) evaluator = mteb.MTEB(task) model… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CLSClusteringP2P.v2.
| Author / organization | mteb |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 231 (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: CLSClusteringP2P.v2 An MTEB dataset Massive Text Embedding Benchmark Clustering of titles + abstract from CLS dataset. Clustering of 13 sets on the main category. Task category t2c Domains Academic, Written Referencehttps://arxiv.org/abs/22 → CLSClusteringP2P.v2 An MTEB dataset Massive Text Embedding Benchmark Clustering of titles + abstract from CLS dataset. Clustering of 13 sets on the main category. Task category t2c Domains Academic, Written Reference https://arxiv.org/abs/2
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