{"url":"/dataset/spartqa-1","name":"SPARTQA -","full_name":"SPAtial Reasoning on Textual Question Answering.","description_markdown":"We take advantage of the ground truth of NLVR images, design CFGs to generate stories, and use spatial reasoning rules to ask and answer spatial reasoning questions. This automatically generated data is called SpaRTQA.   https://aclanthology.org/2021.naacl-main.364/","description_withheld":null,"homepage":"https://github.com/HLR/SpartQA_generation","introduced_date":"2021-06-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/spartqa-a-textual-question-answering-1","title":"SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning","first_author":"Roshanak Mirzaee","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":"Multi-hop Question Answering","url":"/task/multi-hop-question-answering","datasets_with_task":"/datasets/task/multi-hop-question-answering"},{"name":"Relational Reasoning","url":"/task/relational-reasoning","datasets_with_task":"/datasets/task/relational-reasoning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SPARTQA -"],"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."}