sentence-transformers/NanoTouche2020-bm25

NanoBEIR Touche2020 with BM25 rankings

This dataset is an updated variant of NanoTouche2020, which is a subset of the Touche2020 dataset from the Benchmark for Information Retrieval (BEIR). NanoTouche2020 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.