{"url":"/dataset/fairytaleqa","name":"FairytaleQA","full_name":null,"description_markdown":"**FairytaleQA** is a dataset focusing on narrative comprehension of kindergarten to eighth-grade students. Annotated by educational experts based on an evidence-based theoretical framework, FairytaleQA consists of 10,580 explicit and implicit questions derived from 278 children-friendly story narratives, covering seven types of narrative elements or relations. It can support narrative Question Generation (QG) and Narrative Question Answering (QA) tasks.","description_withheld":null,"homepage":"https://github.com/uci-soe/FairytaleQAData","introduced_date":"2022-03-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/fantastic-questions-and-where-to-find-them-1","title":"Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative Comprehension","first_author":"Ying Xu","url":null},"license":{"name":"Apache-2.0 License","url":"https://github.com/uci-soe/FairytaleQAData/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Question Generation","url":"/task/question-generation","datasets_with_task":"/datasets/task/question-generation"}],"languages":[],"variants":["FairytaleQA"],"data_loaders":[],"num_papers_in_archive":26,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/question-answering-on-fairytaleqa","task":"Question Answering","dataset_variant":"FairytaleQA","rows":4,"metrics":["F1","Rouge-L"],"first_row_in_archive_order":{"model":"BART fine-tuned on FairytaleQA","paper":"/paper/fantastic-questions-and-where-to-find-them-1","metrics":{"F1":"0.536","Rouge-L":"0.533"},"code_links":[{"title":"uci-soe/fairytaleqadata","url":"https://github.com/uci-soe/fairytaleqadata"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/question-generation-on-fairytaleqa","task":"Question Generation","dataset_variant":"FairytaleQA","rows":3,"metrics":["ROUGE-L"],"first_row_in_archive_order":{"model":"BART fine-tuned on FairytaleQA","paper":"/paper/fantastic-questions-and-where-to-find-them-1","metrics":{"ROUGE-L":"0.527"},"code_links":[{"title":"uci-soe/fairytaleqadata","url":"https://github.com/uci-soe/fairytaleqadata"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/fantastic-questions-and-where-to-find-them-1","title":"Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative Comprehension","date":"2022-03-26","rows_on_this_dataset":7,"code_links":1,"syntology":null}],"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."}