{"url":"/dataset/qrecc","name":"QReCC","full_name":null,"description_markdown":"QReCC contains 14K conversations with 81K question-answer pairs. QReCC is built on questions from TREC CAsT, QuAC and Google Natural Questions. While TREC CAsT and QuAC datasets contain multi-turn conversations, Natural Questions is not a conversational dataset. Questions in NQ dataset were used as prompts to create conversations explicitly balancing types of context-dependent questions, such as anaphora (co-references) and ellipsis.\r\n\r\nFor each query the authors collect query rewrites by resolving references, the resulting query rewrite is a context-independent version of the original (context-dependent) question. The rewritten query is then used to with a search engine to answer the question. Each query is also annotated with answer, link to the web page that used to produce the answer.\r\n\r\nEach conversation in the dataset contains a unique Conversation_no, Turn_no unique within a conversation, the original Question, Context, Rewrite and Answer with Answer_URL.\r\n\r\nSource: [QReCC](https://github.com/apple/ml-qrecc)","description_withheld":null,"homepage":"https://github.com/apple/ml-qrecc","introduced_date":"2020-10-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/open-domain-question-answering-goes","title":"Open-Domain Question Answering Goes Conversational via Question Rewriting","first_author":"Raviteja Anantha","url":null},"license":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":["QReCC"],"data_loaders":[{"repo":"https://github.com/apple/ml-qrecc","url":"https://github.com/apple/ml-qrecc","frameworks":[]}],"num_papers_in_archive":51,"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":"2026-09-25T09:33:49+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."}