naist-nlp/RedirectQA

RedirectQA RedirectQA is an entity-based factual QA dataset for analyzing how large language models access the same fact through different surface forms of an entity. This v1.0.0 release is aligned with the dataset described in the paper Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms. The public dataset contains: 61,120 question realizations in the test split 30,560 subject-surface instances 14,672 Wikidata factual triples 14,672… See the full description on the dataset page: https://huggingface.co/datasets/naist-nlp/RedirectQA.