{"url":"/dataset/realcqa","name":"RealCQA","full_name":null,"description_markdown":"RealCQA\r\nScientific Chart Question Answering as a Test-bed for First-Order Logic\r\n\r\ncheck on huggingface : https://huggingface.co/datasets/sal4ahm/RealCQA","description_withheld":null,"homepage":"https://github.com/cse-ai-lab/RealCQA","introduced_date":"2023-08-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/realcqa-scientific-chart-question-answering","title":"RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic","first_author":"Saleem Ahmed","url":null},"license":{"name":"GNU GENERAL PUBLIC LICENSE                        Version 3, 29 June 2007","url":"https://github.com/cse-ai-lab/RealCQA/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Chart Question Answering","url":"/task/chart-question-answering","datasets_with_task":"/datasets/task/chart-question-answering"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RealCQA"],"data_loaders":[{"repo":"https://github.com/cse-ai-lab/RealCQA","url":"https://github.com/cse-ai-lab/RealCQA","frameworks":["pytorch"]}],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/chart-question-answering-on-realcqa","task":"Chart Question Answering","dataset_variant":"RealCQA","rows":5,"metrics":["1:1 Accuracy"],"first_row_in_archive_order":{"model":"crct - baseline","paper":"/paper/chartqa-a-benchmark-for-question-answering","metrics":{"1:1 Accuracy":"0.178733575026565"},"code_links":[{"title":"vis-nlp/chartqa","url":"https://github.com/vis-nlp/chartqa"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/realcqa-scientific-chart-question-answering","title":"RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic","date":"2023-08-03","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/matcha-enhancing-visual-language-pretraining","title":"MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering","date":"2022-12-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/chartqa-a-benchmark-for-question-answering","title":"ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning","date":"2022-03-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/data-interpretation-over-plots","title":"PlotQA: Reasoning over Scientific Plots","date":"2019-09-03","rows_on_this_dataset":1,"code_links":0,"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."}