NanoFEVER-bm25
收藏魔搭社区2025-12-04 更新2025-03-01 收录
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https://modelscope.cn/datasets/sentence-transformers/NanoFEVER-bm25
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# NanoBEIR FEVER with BM25 rankings
This dataset is an updated variant of [NanoFEVER](https://huggingface.co/datasets/zeta-alpha-ai/NanoFEVER), which is a subset of the FEVER dataset from the Benchmark for Information Retrieval (BEIR).
FEVER 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 FEVER数据集
本数据集是[NanoFEVER](https://huggingface.co/datasets/zeta-alpha-ai/NanoFEVER)的更新变体,而NanoFEVER是信息检索基准测试集(Benchmark for Information Retrieval, BEIR)中FEVER数据集的子集。FEVER数据集作为体量庞大的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`子集新增了`bm25-ranked-ids`列,该列存储了语料库中所有段落针对查询的排序结果。
本数据集被应用于Sentence Transformers框架中,用于通过对BM25生成的前*k*条结果执行重排序,在NanoBEIR基准上评估交叉编码器(CrossEncoder,即重排序模型)的性能。
提供机构:
maas
创建时间:
2025-02-26



