{"url":"/dataset/cosmosqa","name":"CosmosQA","full_name":null,"description_markdown":"CosmosQA is a large-scale dataset of 35.6K problems that require commonsense-based reading comprehension, formulated as multiple-choice questions. It focuses on reading between the lines over a diverse collection of people’s everyday narratives, asking questions concerning on the likely causes or effects of events that require reasoning beyond the exact text spans in the context.\r\n\r\nSource: [Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach](https://arxiv.org/abs/1909.09743)\r\nImage Source: [https://arxiv.org/pdf/1909.00277.pdf](https://arxiv.org/pdf/1909.00277.pdf)","description_withheld":null,"homepage":"https://wilburone.github.io/cosmos/","introduced_date":"2019-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/cosmos-qa-machine-reading-comprehension-with","title":"Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning","first_author":"Lifu Huang","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"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":[{"name":"English","url":"/datasets/language/english"}],"variants":["CosmosQA"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/allenai/cosmos_qa","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/cosmos_qa","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/cosmos_qa","frameworks":["tf","jax"]}],"num_papers_in_archive":102,"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."}