{"url":"/dataset/mc-taco","name":"MC-TACO","full_name":null,"description_markdown":"MC-TACO is a dataset of 13k question-answer pairs that require temporal commonsense comprehension. The dataset contains five temporal properties, (1) duration (how long an event takes), (2) temporal ordering (typical order of events), (3) typical time (when an event occurs), (4) frequency (how often an event occurs), and (5) stationarity (whether a state is maintained for a very long time or indefinitely). \r\n\r\nSource: [MC-TACO](https://leaderboard.allenai.org/mctaco/submissions/public)","description_withheld":null,"homepage":"https://github.com/CogComp/MCTACO","introduced_date":"2019-09-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/going-on-a-vacation-takes-longer-than-going","title":"\"Going on a vacation\" takes longer than \"Going for a walk\": A Study of Temporal Commonsense Understanding","first_author":"Ben Zhou","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["MC-TACO","mc_taco"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/CogComp/mc_taco","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/mc_taco","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/mctaco","frameworks":["tf","jax"]},{"repo":"https://github.com/CogComp/MCTACO","url":"https://github.com/CogComp/MCTACO","frameworks":[]}],"num_papers_in_archive":44,"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."}