Dataset · Hugging Face

hakari-bench/NanoJMTEB-v2

Name: NanoJMTEB-v2
Creator: hakari-bench
Keywords: language:ja, size_categories:10K<n<100K, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, information-retrieval, retrieval, nano, bm25, hakari-bench

NanoJMTEB-v2 This dataset is a Nano-style retrieval dataset for HAKARI-bench. NanoJMTEB-v2 is a Nano-style Japanese retrieval dataset recreated from MTEB/JMTEB sources. The ja-cwir, jaqket, miracl-ja, and mr-tidy-japanese splits are rebuilt from sbintuitions/JMTEB-lite retrieval query/corpus tables with 200 queries and 10,000 corpus documents per split. Usage from datasets import load_dataset dataset_id = "hakari-bench/NanoJMTEB-v2" split = "ja_cwir" queries =… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoJMTEB-v2.

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Author / organization	hakari-bench
Downloads	130 (as reported by Hugging Face)
Likes	0
Created	8 May 2026
Last updated at source	26 May 2026

information-retrievalretrievalnanobm25hakari-benchdense-retrievalreranking

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