{"url":"/dataset/cast-snippets","name":"CAsT-snippets","full_name":null,"description_markdown":"CAsT-snippets is a high-quality dataset for conversational information seeking containing snippet-level annotations for all queries in the TREC CAsT 2020 and 2022 datasets. It enables the development of answer generation methods that are grounded in relevant snippets in paragraphs as well as allows for the automatic evaluation of the generated answers in terms of completeness; a training/test split is provided for such use.","description_withheld":null,"homepage":"https://github.com/iai-group/CAsT-snippets","introduced_date":"2023-10-21","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Conversational Response Generation","url":"/task/conversational-response-generation","datasets_with_task":"/datasets/task/conversational-response-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CAsT-snippets"],"data_loaders":[],"num_papers_in_archive":4,"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."}