{"url":"/dataset/clarq","name":"ClarQ","full_name":"ClarQ","description_markdown":"ClarQ, consists of ∼2M examples distributed across 173 domains of stackexchange. This dataset is meant for training and evaluation of Clarification Question Generation Systems.\r\n\r\n\r\nSource: [ClarQ: A large-scale and diverse dataset for Clarification Question Generation](https://arxiv.org/pdf/2006.05986v2.pdf)","description_withheld":null,"homepage":"https://github.com/vaibhav4595/ClarQ","introduced_date":"2020-06-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/clarq-a-large-scale-and-diverse-dataset-for","title":"ClarQ: A large-scale and diverse dataset for Clarification Question Generation","first_author":"Vaibhav Kumar","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":"Intent Detection","url":"/task/intent-detection","datasets_with_task":"/datasets/task/intent-detection"},{"name":"Question Generation","url":"/task/question-generation","datasets_with_task":"/datasets/task/question-generation"}],"languages":[],"variants":["ClarQ"],"data_loaders":[{"repo":"https://github.com/vaibhav4595/ClarQ","url":"https://github.com/vaibhav4595/ClarQ","frameworks":[]}],"num_papers_in_archive":3,"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."}