{"url":"/dataset/adveta","name":"ADVETA","full_name":null,"description_markdown":"**ADVErsarial Table perturbAtion (ADVETA)** is a robustness evaluation benchmark featuring natural and realistic ATPs. It is based on three mainstream Text-to-SQL datasets, Spider, WikiSQL and WTQ.\r\n\r\nSource: [Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation](https://arxiv.org/pdf/2212.09994v1.pdf)","description_withheld":null,"homepage":"https://github.com/microsoft/ContextualSP","introduced_date":"2022-12-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-robustness-of-text-to-sql-models-3","title":"Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation","first_author":"Xinyu Pi","url":null},"license":{"name":"MIT License","url":"https://github.com/microsoft/ContextualSP/blob/master/LICENSE"},"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"}],"languages":[],"variants":["ADVETA"],"data_loaders":[],"num_papers_in_archive":5,"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."}