deu05232/repro_msmarco-w-instructions_seed42-multipos-subset_probing

该数据集是一个用于信息检索或自然语言处理任务的数据集，包含查询、正面段落和负面段落等特征。正面段落包括文档ID、解释、FollowIR评分、联合ID、文本和标题，而负面段落则包含文档ID、文本和标题。此外，数据集还涉及指令和查询字段，以及新负样本列表。它旨在支持模型训练，以区分相关与不相关文档，并可能用于评估检索性能。数据以训练集形式提供，包含大量示例和字节大小。

This dataset is designed for information retrieval or natural language processing tasks, featuring queries, positive passages, and negative passages. Positive passages include document ID, explanation, FollowIR score, joint ID, text, and title, while negative passages contain document ID, text, and title. Additionally, the dataset includes instruction and query fields, as well as a list of new negatives. It aims to support model training for distinguishing relevant from irrelevant documents and may be used for evaluating retrieval performance. The data is provided in a training split with a large number of examples and byte size.