mteb/

CLSClusteringS2S.v2

CLSClusteringS2S.v2 An MTEB dataset Massive Text Embedding Benchmark

Clustering of titles from CLS dataset. Clustering of 13 sets on the main category.

Task category t2c

Domains Academic, Written

Reference https://arxiv.org/abs/2209.05034

You can evaluate an embedding model on this dataset using the following code: import mteb

task = mteb.get_tasks(["CLSClusteringS2S.v2"]) evaluator = mteb.MTEB(task)

model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CLSClusteringS2S.v2.