NanoFiQA2018-bm25

# NanoBEIR FiQA2018 with BM25 rankings
This dataset is an updated variant of [NanoFiQA2018](https://huggingface.co/datasets/zeta-alpha-ai/NanoFiQA2018), which is a subset of the FiQA2018 dataset from the Benchmark for Information Retrieval (BEIR).
FiQA2018 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BM25排序的NanoBEIR FiQA2018数据集
本数据集是[NanoFiQA2018](https://huggingface.co/datasets/zeta-alpha-ai/NanoFiQA2018)的更新变体，而NanoFiQA2018是信息检索基准测试集（Benchmark for Information Retrieval, BEIR）中FiQA2018数据集的子集。
FiQA2018是为提升运行效率，从体量庞大的BEIR中抽取得到的子集。本数据集在`relevance`子集中新增了`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。
本数据集被应用于句子变换器（Sentence Transformers）框架中，通过对BM25返回的前k个结果进行重排序，以在NanoBEIR基准上评估交叉编码器（CrossEncoder，即重排序模型）的性能。