{"url":"/dataset/redial","name":"ReDial","full_name":null,"description_markdown":"ReDial (Recommendation Dialogues) is an annotated dataset of dialogues, where users recommend movies to each other. The dataset consists of over 10,000 conversations centered around the theme of providing movie recommendations. \r\n\r\nSource: [Towards Deep Conversational Recommendations](/paper/towards-deep-conversational-recommendations)","description_withheld":null,"homepage":"https://redialdata.github.io/website/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-deep-conversational-recommendations","title":"Towards Deep Conversational Recommendations","first_author":"Raymond Li","url":null},"license":{"name":"CC BY 4.0","url":"http://creativecommons.org/licenses/by/4.0"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Generation","url":"/task/text-generation","datasets_with_task":"/datasets/task/text-generation"},{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Recommendation Systems","url":"/task/recommendation-systems","datasets_with_task":"/datasets/task/recommendation-systems"},{"name":"Knowledge Graphs","url":"/task/knowledge-graphs","datasets_with_task":"/datasets/task/knowledge-graphs"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ReDial"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/community-datasets/re_dial","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/re_dial","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/facebookresearch/ParlAI","url":"https://parl.ai/docs/tasks.html#redial","frameworks":["pytorch"]}],"num_papers_in_archive":105,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/recommendation-systems-on-redial","task":"Recommendation Systems","dataset_variant":"ReDial","rows":8,"metrics":["Recall@1","Recall@10","Recall@50"],"first_row_in_archive_order":{"model":"KERL","paper":"/paper/knowledge-graphs-and-pre-trained-language","metrics":{"Recall@1":"0.056","Recall@10":"0.217","Recall@50":"0.426"},"code_links":[{"title":"icedpanda/KERL","url":"https://github.com/icedpanda/KERL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/text-generation-on-redial","task":"Text Generation","dataset_variant":"ReDial","rows":5,"metrics":["Distinct-3","Distinct-4","Distinct-2","Perplexity"],"first_row_in_archive_order":{"model":"UniCRS","paper":"/paper/towards-unified-conversational-recommender","metrics":{"Distinct-2":"0.492","Distinct-3":"0.648","Distinct-4":"0.832"},"code_links":[{"title":"rucaibox/unicrs","url":"https://github.com/rucaibox/unicrs"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/knowledge-graphs-and-pre-trained-language","title":"Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems","date":"2023-12-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/towards-unified-conversational-recommender","title":"Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning","date":"2022-06-19","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/user-centric-conversational-recommendation","title":"User-Centric Conversational Recommendation with Multi-Aspect User Modeling","date":"2022-04-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/c2-crs-coarse-to-fine-contrastive-learning","title":"C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System","date":"2022-01-04","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/crfr-improving-conversational-recommender","title":"CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs","date":"2021-11-01","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/bridging-the-gap-between-conversational","title":"CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation","date":"2020-10-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/improving-conversational-recommender-systems","title":"Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion","date":"2020-07-08","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/towards-knowledge-based-recommender-dialog","title":"Towards Knowledge-Based Recommender Dialog System","date":"2019-08-15","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}