NanoTouche2020-bm25

# NanoBEIR Touche2020 with BM25 rankings
This dataset is an updated variant of [NanoTouche2020](https://huggingface.co/datasets/zeta-alpha-ai/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.

# 带有BM25排序结果的NanoBEIR Touche2020数据集
该数据集是[NanoTouche2020](https://huggingface.co/datasets/zeta-alpha-ai/NanoTouche2020)的更新变体，而NanoTouche2020是信息检索基准测试集（Benchmark for Information Retrieval，BEIR）中的Touche2020数据集的子集。
NanoTouche2020作为规模庞大的BEIR的子集被构建，旨在降低运行开销，提升运行效率。
该数据集在`relevance`子集新增了`bm25-ranked-ids`列，该列存储了语料库中所有段落针对对应查询的排序结果。
该数据集被应用于句子转换器（Sentence Transformers）框架中，通过对BM25返回的前*k*条结果进行重排序，以在NanoBEIR数据集上评估交叉编码器（CrossEncoder，即重排序模型）的性能。