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Dataset · Hugging Face

hakari-bench/NanoMedical

NanoMedical This dataset is a Nano-style retrieval dataset for HAKARI-bench. NanoMedical contains 10 Nano retrieval splits derived from MTEB(Medical, v1). Each split keeps up to 200 eligible queries and up to 10000 corpus documents, with exact duplicate query and document text removed where the generator records that policy. Usage from datasets import load_dataset dataset_id = "hakari-bench/NanoMedical" split = "NanoCMedQAv2reranking" queries =… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoMedical.

Author / organizationhakari-bench
Downloads150 (as reported by Hugging Face)
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Created2 May 2026
Last updated at source26 May 2026
information-retrievalretrievalnanobm25dense-retrievalrerankinghakari-bench
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