{"url":"/dataset/timeqa","name":"TimeQA","full_name":"Time-Sensitive QA","description_markdown":"This dataset is aimed to study the existing reading comprehension models' capability to perform temporal reasoning, and see whether they are sensitive to the temporal description in the given question.","description_withheld":null,"homepage":"https://github.com/wenhuchen/Time-Sensitive-QA","introduced_date":"2021-08-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-dataset-for-answering-time-sensitive","title":"A Dataset for Answering Time-Sensitive Questions","first_author":"Wenhu Chen","url":null},"license":{"name":"BSD 3-Clause License","url":"https://github.com/wenhuchen/Time-Sensitive-QA/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Temporal/Casual QA","url":"/task/temporal-casual-qa","datasets_with_task":"/datasets/task/temporal-casual-qa"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["TimeQA"],"data_loaders":[],"num_papers_in_archive":22,"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."}