{"url":"/dataset/leaf-qa","name":"LEAF-QA","full_name":null,"description_markdown":"LEAF-QA, a comprehensive dataset of 250,000 densely annotated figures/charts, constructed from real-world open data sources, along with ~2 million question-answer (QA) pairs querying the structure and semantics of these charts. LEAF-QA highlights the problem of multimodal QA, which is notably different from conventional visual QA (VQA), and has recently gained interest in the community. Furthermore, LEAF-QA is significantly more complex than previous attempts at chart QA, viz. FigureQA and DVQA, which present only limited variations in chart data. LEAF-QA being constructed from real-world sources, requires a novel architecture to enable question answering.\r\n\r\nSource: [LEAF-QA: Locate, Encode & Attend for Figure Question Answering](https://arxiv.org/pdf/1907.12861)","description_withheld":null,"homepage":"https://arxiv.org/pdf/1907.12861.pdf","introduced_date":"2019-07-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/leaf-qa-locate-encode-attend-for-figure","title":"LEAF-QA: Locate, Encode & Attend for Figure Question Answering","first_author":"Ritwick Chaudhry","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"},{"name":"Chart Question Answering","url":"/task/chart-question-answering","datasets_with_task":"/datasets/task/chart-question-answering"}],"languages":[],"variants":["LEAF-QA"],"data_loaders":[],"num_papers_in_archive":9,"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."}