NanoQuoraRetrieval-bm25

# NanoBEIR QuoraRetrieval with BM25 rankings
This dataset is an updated variant of [NanoQuoraRetrieval](https://huggingface.co/datasets/zeta-alpha-ai/NanoQuoraRetrieval), which is a subset of the QuoraRetrieval dataset from the Benchmark for Information Retrieval (BEIR).
QuoraRetrieval 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 QuoraRetrieval数据集
本数据集是[NanoQuoraRetrieval](https://huggingface.co/datasets/zeta-alpha-ai/NanoQuoraRetrieval)的更新变体，而该数据集本身是信息检索基准测试集（Benchmark for Information Retrieval，BEIR）旗下QuoraRetrieval数据集的一个子集。
QuoraRetrieval本身是为提升运行效率，从规模庞大的BEIR中抽取得到的子集。本数据集在其`relevance`子集的基础上新增了`bm25-ranked-ids`列，该列包含语料库中所有段落针对对应查询的排序结果。
本数据集被应用于句子转换器（Sentence Transformers）框架中，用于通过对BM25返回的前*k*条结果进行重排序，在NanoBEIR基准上评估交叉编码器（CrossEncoder，即重排序器）模型的性能。