mteb/JSICK

JSICK An MTEB dataset Massive Text Embedding Benchmark JSICK is the Japanese NLI and STS dataset by manually translating the English dataset SICK (Marelli et al., 2014) into Japanese. Task category t2t Domains Web, Written Reference https://github.com/sbintuitions/JMTEB 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(["JSICK"]) evaluator = mteb.MTEB(task)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/JSICK.

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