Dataset · Hugging Face

hakari-bench/NanoMTEB-v2

Name: NanoMTEB-v2
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

NanoMTEB-v2 This dataset is a Nano-style retrieval dataset for HAKARI-bench. NanoMTEB-v2 is a compact English MTEB-family retrieval benchmark. It includes BEIR-style and MTEB retrieval tasks such as ArguAna, Climate-FEVER, CQADupStack, FEVER, FiQA, HotpotQA, SCIDOCS, Touché, and TREC-COVID in the Nano query-corpus-qrels format. Usage from datasets import load_dataset dataset_id = "hakari-bench/NanoMTEB-v2" split = "argu_ana" queries = load_dataset(dataset_id… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoMTEB-v2.

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Author / organization	hakari-bench
Downloads	167 (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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