mteb/LEMBPasskeyRetrieval

LEMBPasskeyRetrieval是一个文本检索数据集，它是MTEB（大规模文本嵌入基准）的一部分。这个数据集包含三个主要部分：语料库、相关文档和查询。语料库部分包含文档的标题和文本，相关文档部分包含查询和文档之间的相关性得分，查询部分包含查询的文本。数据集分为多个不同的测试集，每个测试集的大小不同。这个数据集可以用于评估嵌入模型的性能。

LEMBPasskeyRetrieval is a text retrieval dataset that is part of the Massive Text Embedding Benchmark (MTEB). This dataset consists of three main components: corpus, qrels, and queries. The corpus component includes the titles and texts of documents, the qrels component includes relevance scores between queries and documents, and the queries component includes the text of the queries. The dataset is split into multiple test sets of different sizes. This dataset can be used to evaluate the performance of embedding models.