{"url":"/dataset/doqa","name":"DoQA","full_name":null,"description_markdown":"A dataset with 2,437 dialogues and 10,917 QA pairs. The dialogues are collected from three Stack Exchange sites using the Wizard of Oz method with crowdsourcing.\r\n\r\nSource: [DoQA -- Accessing Domain-Specific FAQs via Conversational QA](/paper/doqa-accessing-domain-specific-faqs-via)","description_withheld":null,"homepage":"http://ixa.eus/node/12931","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/doqa-accessing-domain-specific-faqs-via","title":"DoQA -- Accessing Domain-Specific FAQs via Conversational QA","first_author":"Jon Ander Campos","url":null},"license":null,"modalities":[],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Information Retrieval","url":"/task/information-retrieval","datasets_with_task":"/datasets/task/information-retrieval"},{"name":"Conversational Question Answering","url":"/task/conversational-question-answering","datasets_with_task":"/datasets/task/conversational-question-answering"}],"languages":[],"variants":["DoQA"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/community-datasets/doqa","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/doqa","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":18,"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."}