{"url":"/dataset/wikibio-gpt-3-hallucination-dataset","name":"WikiBio GPT-3 Hallucination Dataset","full_name":null,"description_markdown":"The **WikiBio GPT-3 Hallucination Dataset** is a benchmark dataset used for hallucination detection. It is based on Wikipedia biographies (WikiBio) and is specifically designed to evaluate the factuality of text generated by large language models like **GPT-3**¹². Here are some key details about this dataset:\r\n\r\n- **Dataset Source**: Wikipedia biographies (WikiBio)\r\n- **Task**: Text classification\r\n- **Language**: English\r\n- **Size Categories**: Less than 1,000 samples\r\n- **License**: Creative Commons Attribution-ShareAlike 3.0 (cc-by-sa-3.0)\r\n\r\n(1) potsawee/wiki_bio_gpt3_hallucination · Datasets at Hugging Face. https://huggingface.co/datasets/potsawee/wiki_bio_gpt3_hallucination.\r\n(2) [2303.08896] SelfCheckGPT: Zero-Resource Black-Box Hallucination .... https://arxiv.org/abs/2303.08896.\r\n(3) AIトラストと、対話型生成AIにおける富士通のAIトラスト技術 : 富士通. https://www.fujitsu.com/jp/about/research/article/202312-ai-trust-technologies.html.\r\n(4) README.md · potsawee/wiki_bio_gpt3_hallucination at main - Hugging Face. https://huggingface.co/datasets/potsawee/wiki_bio_gpt3_hallucination/blob/main/README.md.\r\n(5) undefined. https://github.com/potsawee/selfcheckgpt.","description_withheld":null,"homepage":"https://huggingface.co/datasets/potsawee/wiki_bio_gpt3_hallucination","introduced_date":"2023-03-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/selfcheckgpt-zero-resource-black-box","title":"SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models","first_author":"Potsawee Manakul","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["WikiBio GPT-3 Hallucination Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}