This dataset is an updated variant of NanoNQ, which is a subset of the NQ dataset from the Benchmark for Information Retrieval (BEIR). NQ was created as a subset of the rather large BEIR, designed to be more efficient to run. This dataset adds a bm25-ranked-ids column to the relevance subset, which contains a ranking of every single passage in the corpus to the query.

This dataset is used in Sentence Transformers for evaluating CrossEncoder (i.e. reranker) models on NanoBEIR by reranking the top k results from BM25.

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NanoBEIR 🍺with BM25 Rankings

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NanoBEIR by Zeta Alpha, extended with BM25 scores. These datasets are used in the Sentence Transformers Cross Encoder NanoBEIR Evaluator. • 13 items • Updated Feb 25 • 2