{"url":"/dataset/mcscript","name":"MCScript","full_name":"MCScript","description_markdown":"**MCScript** is used as the official dataset of SemEval2018 Task11. This dataset constructs a collection of text passages about daily life activities and a series of questions referring to each passage, and each question is equipped with two answer choices. The MCScript comprises 9731, 1411, and 2797 questions in training, development, and test set respectively.\r\n\r\nSource: [Multi-Perspective Fusion Network for Commonsense Reading Comprehension](https://arxiv.org/abs/1901.02257)\r\nImage Source: [https://arxiv.org/pdf/1803.05223.pdf](https://arxiv.org/pdf/1803.05223.pdf)","description_withheld":null,"homepage":"http://www.sfb1102.uni-saarland.de/?page_id=2582","introduced_date":"2018-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/mcscript-a-novel-dataset-for-assessing","title":"MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge","first_author":"Simon Ostermann","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Common Sense Reasoning","url":"/task/common-sense-reasoning","datasets_with_task":"/datasets/task/common-sense-reasoning"},{"name":"Reading Comprehension","url":"/task/reading-comprehension","datasets_with_task":"/datasets/task/reading-comprehension"},{"name":"Natural Language Understanding","url":"/task/natural-language-understanding","datasets_with_task":"/datasets/task/natural-language-understanding"}],"languages":[],"variants":["MCScript"],"data_loaders":[],"num_papers_in_archive":24,"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."}