NanoDBPedia-bm25

# NanoBEIR DBPedia with BM25 rankings
This dataset is an updated variant of [NanoDBPedia](https://huggingface.co/datasets/zeta-alpha-ai/NanoDBPedia), which is a subset of the DBPedia dataset from the Benchmark for Information Retrieval (BEIR).
DBPedia 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排序结果的NanoBEIR DBPedia数据集
本数据集为[NanoDBPedia](https://huggingface.co/datasets/zeta-alpha-ai/NanoDBPedia)的更新变体，而NanoDBPedia是信息检索基准测试集（Benchmark for Information Retrieval，以下简称BEIR）中DBPedia数据集的子集。
DBPedia作为体量庞大的BEIR数据集的子集，专为优化运行效率而设计。本数据集在`relevance`子集内新增了`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Sentence Transformers框架，通过对BM25返回的前*k*项结果进行重排序，以在NanoBEIR基准上评估交叉编码器（CrossEncoder，即重排序模型）的性能。