Dataset · Hugging Face

hakari-bench/NanoBEIR-en

Name: NanoBEIR-en
Creator: hakari-bench
Keywords: language:en, 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

NanoBEIR-en This dataset is a Nano-style retrieval dataset for HAKARI-bench. NanoBEIR-en is a compact English benchmark derived from BEIR retrieval datasets. It keeps the query-corpus-qrels retrieval format while using small task splits for fast, repeatable evaluation. Usage from datasets import load_dataset dataset_id = "hakari-bench/NanoBEIR-en" split = "NanoArguAna" queries = load_dataset(dataset_id, "queries", split=split) corpus = load_dataset(dataset_id… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoBEIR-en.

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Author / organization	hakari-bench
Downloads	428 (as reported by Hugging Face)
Likes	1
Created	2 May 2026
Last updated at source	21 June 2026

information-retrievalretrievalnanobm25hakari-benchdense-retrievalreranking

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