{"url":"/dataset/cos-e","name":"CoS-E","full_name":"Commonsense Explanations Dataset","description_markdown":"CoS-E consists of human explanations for commonsense reasoning in the form of natural language sequences and highlighted annotations\r\n\r\nSource: [Explain Yourself! Leveraging Language Models for Commonsense Reasoning](https://arxiv.org/pdf/1906.02361v1.pdf)","description_withheld":null,"homepage":"https://github.com/salesforce/cos-e","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/explain-yourself-leveraging-language-models","title":"Explain Yourself! Leveraging Language Models for Commonsense Reasoning","first_author":"Nazneen Fatema Rajani","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":"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"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CoS-E"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/Salesforce/cos_e","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/cos_e","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/cos_e","frameworks":["tf","jax"]},{"repo":"https://github.com/salesforce/cos-e","url":"https://github.com/salesforce/cos-e","frameworks":[]}],"num_papers_in_archive":46,"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."}