{"url":"/dataset/sharc","name":"ShARC","full_name":"Shaping Answers with Rules through Conversation","description_markdown":"**ShARC** is a Conversational Question Answering dataset focussing on question answering from texts containing rules.\r\n\r\nSource: [ShARC](https://sharc-data.github.io/data.html)\r\nImage Source: [https://arxiv.org/abs/1809.01494](https://arxiv.org/abs/1809.01494)","description_withheld":null,"homepage":"https://sharc-data.github.io/","introduced_date":"2018-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/interpretation-of-natural-language-rules-in","title":"Interpretation of Natural Language Rules in Conversational Machine Reading","first_author":"Marzieh Saeidi","url":null},"license":{"name":"CC BY-SA 3.0","url":"https://creativecommons.org/licenses/by-sa/3.0/"},"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":"Decision Making","url":"/task/decision-making","datasets_with_task":"/datasets/task/decision-making"}],"languages":[],"variants":["ShARC"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/UCLNLP/sharc","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/sharc","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":43,"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."}