NanoHotpotQA-bm25

# NanoBEIR HotpotQA with BM25 rankings
This dataset is an updated variant of [NanoHotpotQA](https://huggingface.co/datasets/zeta-alpha-ai/NanoHotpotQA), which is a subset of the HotpotQA dataset from the Benchmark for Information Retrieval (BEIR).
HotpotQA 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.

# 基于BM25排序的NanoBEIR HotpotQA数据集
本数据集是[NanoHotpotQA](https://huggingface.co/datasets/zeta-alpha-ai/NanoHotpotQA)的更新变体，而该数据集是信息检索基准测试集（Benchmark for Information Retrieval，简称BEIR）中HotpotQA数据集的子集。
HotpotQA是为提升运行效率而从规模庞大的BEIR中抽取的子集。本数据集在`relevance`子集新增了`bm25-ranked-ids`字段，该字段包含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Sentence Transformers框架中，用于通过对BM25返回的前k个结果进行重排序，在NanoBEIR任务上评估CrossEncoder（即重排序模型）的性能。