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hotpotqa-decontaminated – Dataset by lightonai | AlphaNeural AI

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lightonai/
hotpotqa-decontaminated

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document-retrieval

information-retrieval

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hotpotqa (Decontaminated)

A decontaminated version of the hotpotqa dataset from the BEIR benchmark, with samples found in the mgte-en pre-training dataset removed.

Decontamination methodology

Contamination was detected using a two-pass approach against the full mgte-en dataset (484 GB, 1,235 parquet files):

Pass 1: Exact hash matching

All texts (queries and corpus documents) were normalized (lowercased, unicode NFKD, whitespace collapsed) and hashed with… See the full description on the dataset page: https://huggingface.co/datasets/lightonai/hotpotqa-decontaminated.