遇见数据集

WueNLP/SLAQ

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Hugging Face2025-10-15 更新2025-10-18 收录
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资源简介:

SLAQ(Short-Long Form Alignment for Factual Question Answering)是一个用于评估大型语言模型(LLMs)在事实性问题回答中,短形式问题与长形式问题之间事实一致性及可信度的控制评估框架。该数据集旨在比较当问题以独立(短形式)提出与集成到复杂查询(长形式)中时,LLMs的事实性答案。

SLAQ (Short-Long Form Alignment for Factual Question Answering) is a controlled evaluation framework designed to assess the factual consistency and trustworthiness of Large Language Models (LLMs) in factual question answering, comparing their answers when questions are asked in isolation (short-form) versus integrated into complex queries (long-form).

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