{"url":"/dataset/mmsql","name":"MMSQL","full_name":"Multi-Turn Multi-Type Text-to-SQL test suit","description_markdown":"A dataset for training and testing tin various problem types and multi-turn Q&A scenarios, including a training set, test set, and test scripts.","description_withheld":null,"homepage":"https://mcxiaoxiao.github.io/MMSQL/","introduced_date":"2024-12-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/evaluating-and-enhancing-llms-for-multi-turn","title":"Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types","first_author":"Ziming Guo","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text-To-SQL","url":"/task/text-to-sql","datasets_with_task":"/datasets/task/text-to-sql"},{"name":"MMSQL performance","url":"/task/mmsql-performance","datasets_with_task":"/datasets/task/mmsql-performance"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MMSQL"],"data_loaders":[{"repo":"https://github.com/mcxiaoxiao/MMSQL","url":"https://mcxiaoxiao.github.io/MMSQL/","frameworks":[]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/mmsql-performance-on-mmsql","task":"MMSQL performance","dataset_variant":"MMSQL","rows":6,"metrics":["TDEX"],"first_row_in_archive_order":{"model":"GPT-4 Turbo","paper":"/paper/evaluating-and-enhancing-llms-for-multi-turn","metrics":{"TDEX":"67.0"},"code_links":[{"title":"mcxiaoxiao/MMSQL","url":"https://github.com/mcxiaoxiao/MMSQL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/evaluating-and-enhancing-llms-for-multi-turn","title":"Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types","date":"2024-12-21","rows_on_this_dataset":6,"code_links":1,"syntology":null}],"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."}