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JSICK – Dataset by mteb | AlphaNeural AI
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JSICK
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sentence-similarity
semantic-similarity-scoring
human-annotated
monolingual
jpn
cc-by-4.0
1K<n<10K
parquet
text
datasets
pandas
polars
mlcroissant
2502.13595
2210.07316
us
mteb
text
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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
.
