{"url":"/dataset/triagesql","name":"TriageSQL","full_name":null,"description_markdown":"**TriageSQL** is a cross-domain text-to-SQL question intention classification benchmark that requires models to distinguish four types of unanswerable questions from answerable questions.\n\nSource: [https://github.com/chatc/TriageSQL](https://github.com/chatc/TriageSQL)","description_withheld":null,"homepage":"https://github.com/chatc/TriageSQL","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/did-you-ask-a-good-question-a-cross-domain","title":"Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL","first_author":"Yusen Zhang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Text-To-SQL","url":"/task/text-to-sql","datasets_with_task":"/datasets/task/text-to-sql"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["TriageSQL"],"data_loaders":[{"repo":"https://github.com/chatc/TriageSQL","url":"https://github.com/chatc/TriageSQL","frameworks":["pytorch"]}],"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":"2026-09-25T09:33:49+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."}