domenicrosati/TruthfulQA
Dataset Card for TruthfulQA Dataset Summary TruthfulQA: Measuring How Models Mimic Human Falsehoods We propose a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. We crafted questions that some humans would answer falsely due to a false belief or misconception. To perform well, models must avoid generating false… See the full description on the dataset page: https://huggingface.co/datasets/domenicrosati/TruthfulQA.
| Author / organization | domenicrosati |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 53 |
| Created | 12 May 2022 |
| Last updated at source | 1 July 2022 |
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- 16 Oct 2026 Description: Dataset Card for TruthfulQA Dataset Summary TruthfulQA: Measuring How Models Mimic Human Falsehoods We propose a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 quest → Dataset Card for TruthfulQA Dataset Summary TruthfulQA: Measuring How Models Mimic Human Falsehoods We propose a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 quest
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