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hakari-bench/NanoR2MED

NanoR2MED This dataset is a Nano-style retrieval dataset for HAKARI-bench. NanoR2MED contains 8 Nano retrieval splits derived from R2MED. 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/NanoR2MED" split = "NanoR2MEDBioinformatics" queries = load_dataset(dataset_id, "queries"… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoR2MED.

sourceHugging Faceupdated 4mo agoView on Hugging Face

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