{"url":"/dataset/quda","name":"Quda","full_name":null,"description_markdown":"Aims to help V-NLIs recognize analytic tasks from free-form natural language by training and evaluating cutting-edge multi-label classification models. The dataset contains  diverse user queries, and each is annotated with one or multiple analytic tasks. \r\n\r\nSource: [Quda: Natural Language Queries for Visual Data Analytics](/paper/quda-natural-language-queries-for-visual-data)","description_withheld":null,"homepage":"https://freenli.github.io/quda/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/quda-natural-language-queries-for-visual-data","title":"Quda: Natural Language Queries for Visual Data Analytics","first_author":"Siwei Fu","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Multi-Label Classification","url":"/task/multi-label-classification","datasets_with_task":"/datasets/task/multi-label-classification"},{"name":"Paraphrase Generation","url":"/task/paraphrase-generation","datasets_with_task":"/datasets/task/paraphrase-generation"}],"languages":[],"variants":["Quda"],"data_loaders":[],"num_papers_in_archive":4,"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."}