NanoSciFact-bm25
收藏魔搭社区2025-12-04 更新2025-03-01 收录
下载链接：
https://modelscope.cn/datasets/sentence-transformers/NanoSciFact-bm25
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资源简介：
# NanoBEIR SciFact with BM25 rankings
This dataset is an updated variant of [NanoSciFact](https://huggingface.co/datasets/zeta-alpha-ai/NanoSciFact), which is a subset of the SciFact dataset from the Benchmark for Information Retrieval (BEIR).
SciFact 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.
# 带有BM25排序结果的NanoBEIR SciFact数据集
本数据集是[NanoSciFact](https://huggingface.co/datasets/zeta-alpha-ai/NanoSciFact)的更新变体，而NanoSciFact是信息检索基准测试集（Benchmark for Information Retrieval，简称BEIR）中SciFact数据集的子集。
SciFact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。
本数据集为`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对应查询的BM25排序结果。
本数据集被应用于句子Transformer（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任务上评估交叉编码器（CrossEncoder，即重排序器）模型的性能。
提供机构：
maas
创建时间：
2025-02-26
