jhu-clsp/rank1-training-data
收藏Hugging Face2025-02-26 更新2025-04-12 收录
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https://hf-mirror.com/datasets/jhu-clsp/rank1-training-data
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资源简介：
rank1训练数据是一个用于训练rank1推理重排器的综合训练示例集合。每个示例包含一个查询、一个文档/段落、一个逐步分析相关性的推理链以及一个二进制相关判断（真/假）。该数据集旨在训练模型在做出相关性判断之前生成明确的推理链，这有助于将复杂的相关性决策分解为逻辑步骤。
The rank1-training-data dataset is a comprehensive collection of training examples used to teach rank1 models how to reason about document relevance. Each example contains: a query, a document/passage, a reasoning chain that analyzes the relevance in a step-by-step manner, and a binary relevance judgment (true/false). The dataset is designed to train models to generate explicit reasoning chains before making relevance judgments, which helps break down complex relevance decisions into logical steps.
提供机构：
jhu-clsp
