Dataset · Hugging Face

hakari-bench/NanoMuPLeR

Name: NanoMuPLeR
Creator: hakari-bench
Keywords: size_categories:100K<n<1M, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, information-retrieval, retrieval, nano, bm25, hakari-bench, dense-retrieval

NanoMuPLeR This dataset is a Nano-style retrieval dataset for HAKARI-bench. NanoMuPLeR is a compact multilingual parallel legal retrieval benchmark derived from mteb/MuPLeR-retrieval. It uses MuPLeR retrieval tasks built from European Union DGT-Acquis parallel legal text, covering 14 European languages with human-translated parallel passages and synthetic queries. Usage from datasets import load_dataset dataset_id = "hakari-bench/NanoMuPLeR" split = "el" queries… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoMuPLeR.

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Author / organization	hakari-bench
Downloads	323 (as reported by Hugging Face)
Likes	0
Created	8 May 2026
Last updated at source	21 June 2026

information-retrievalretrievalnanobm25hakari-benchdense-retrievalreranking

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