rahmanidashti/tiny-truthful-qa
收藏Hugging Face2025-04-09 更新2025-04-12 收录
下载链接：
https://hf-mirror.com/datasets/rahmanidashti/tiny-truthful-qa
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资源简介：
TruthfulQA是一个用于评估语言模型在生成问题答案时真实性的基准数据集，包含790个涵盖38个类别的问题，如健康、法律、金融和政治等。这些问题设计为能够引起模仿性错误（错误答案）。数据集分为生成任务和选择任务两种结构，共享相同的问题。
TruthfulQA is a benchmark to measure the truthfulness of language models in generating answers to questions, containing 790 questions across 38 categories such as health, law, finance, and politics. These questions are designed to elicit imitative falsehoods (false answers). The dataset is structured for both generation tasks and selection tasks, sharing the same questions.
提供机构：
rahmanidashti
