{"url":"/dataset/resq","name":"ResQ","full_name":"Real-world Spatial Question Answering","description_markdown":"ReSQ is a real-world Spatial Question Answering dataset with human-generated questions built on an existing corpus with SpRL annotations. This dataset can be used to evaluate spatial language processing models in realistic situations.","description_withheld":null,"homepage":"https://github.com/HLR/SpaRTUN","introduced_date":"2022-10-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/transfer-learning-with-synthetic-corpora-for","title":"Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning","first_author":"Roshanak Mirzaee","url":null},"license":null,"modalities":[],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Information Retrieval","url":"/task/information-retrieval","datasets_with_task":"/datasets/task/information-retrieval"},{"name":"Spatial Relation Recognition","url":"/task/spatial-relation-recognition","datasets_with_task":"/datasets/task/spatial-relation-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ResQ"],"data_loaders":[],"num_papers_in_archive":3,"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":"2026-09-25T09:33:49+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."}