NanoClimateFEVER-bm25

# NanoBEIR ClimateFEVER with BM25 rankings
This dataset is an updated variant of [NanoClimateFEVER](https://huggingface.co/datasets/zeta-alpha-ai/NanoClimateFEVER), which is a subset of the ClimateFEVER dataset from the Benchmark for Information Retrieval (BEIR).
ClimateFEVER 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 ClimateFEVER数据集
本数据集是[NanoClimateFEVER](https://huggingface.co/datasets/zeta-alpha-ai/NanoClimateFEVER)的更新变体，而NanoClimateFEVER是信息检索基准测试集（Benchmark for Information Retrieval，简称BEIR）旗下ClimateFEVER数据集的一个子集。ClimateFEVER作为体量庞大的BEIR的子集被构建，旨在降低运行开销、提升执行效率。

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查询语句的排序结果。

本数据集被应用于句向量转换器（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。

搜集汇总

背景与挑战

背景概述

该数据集是NanoClimateFEVER的更新版本，基于BEIR基准中的ClimateFEVER子集构建，旨在提升运行效率。它在'relevance'子集中新增了'bm25-ranked-ids'列，提供语料库段落针对查询的排名，主要用于在Sentence Transformers中评估CrossEncoder模型通过重排BM25前k个结果在NanoBEIR上的性能。