{"url":"/dataset/wikimovies","name":"WikiMovies","full_name":null,"description_markdown":"WikiMovies is a dataset for question answering for movies content. It contains ~100k questions in the movie domain, and was designed to be answerable by using either a perfect KB (based on OMDb),\r\n\r\nSource: [ WikiMovies](https://research.fb.com/downloads/babi/)","description_withheld":null,"homepage":"https://research.fb.com/downloads/babi/","introduced_date":"2016-06-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/key-value-memory-networks-for-directly","title":"Key-Value Memory Networks for Directly Reading Documents","first_author":"Alexander Miller","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Reading Comprehension","url":"/task/reading-comprehension","datasets_with_task":"/datasets/task/reading-comprehension"},{"name":"Open-Domain Question Answering","url":"/task/open-domain-question-answering","datasets_with_task":"/datasets/task/open-domain-question-answering"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["WikiMovies"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/facebook/wiki_movies","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/wiki_movies","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/facebookresearch/ParlAI","url":"https://parl.ai/docs/tasks.html#wikimovies","frameworks":["pytorch"]}],"num_papers_in_archive":39,"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."}