{"url":"/dataset/holl-e","name":"Holl-E","full_name":null,"description_markdown":"Holl-E is a dataset containing movie chats wherein each response is explicitly generated by copying and/or modifying sentences from unstructured background knowledge such as plots, comments and reviews about the movie.\r\n\r\nSource: [Towards Exploiting Background Knowledge for Building Conversation Systems](https://arxiv.org/pdf/1809.08205.pdf)","description_withheld":null,"homepage":"https://github.com/nikitacs16/Holl-E","introduced_date":"2018-09-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-exploiting-background-knowledge-for","title":"Towards Exploiting Background Knowledge for Building Conversation Systems","first_author":"Nikita Moghe","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Knowledge Graphs","url":"/task/knowledge-graphs","datasets_with_task":"/datasets/task/knowledge-graphs"},{"name":"Reading Comprehension","url":"/task/reading-comprehension","datasets_with_task":"/datasets/task/reading-comprehension"},{"name":"Machine Reading Comprehension","url":"/task/machine-reading-comprehension","datasets_with_task":"/datasets/task/machine-reading-comprehension"}],"languages":[],"variants":["Holl-E"],"data_loaders":[{"repo":"https://github.com/facebookresearch/ParlAI","url":"https://parl.ai/docs/tasks.html#holl-e","frameworks":["pytorch"]},{"repo":"https://github.com/nikitacs16/Holl-E","url":"https://github.com/nikitacs16/Holl-E","frameworks":[]}],"num_papers_in_archive":30,"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."}