{"url":"/dataset/onestopqa","name":"OneStopQA","full_name":null,"description_markdown":"OneStopQA provides an alternative test set for reading comprehension which alleviates these shortcomings and has a substantially higher human ceiling performance.\r\n\r\nSource: [STARC: Structured Annotations for Reading Comprehension](/paper/starc-structured-annotations-for-reading)","description_withheld":null,"homepage":"https://github.com/berzak/onestop-qa","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/starc-structured-annotations-for-reading","title":"STARC: Structured Annotations for Reading Comprehension","first_author":"Yevgeni Berzak","url":null},"license":null,"modalities":[],"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":"Machine Reading Comprehension","url":"/task/machine-reading-comprehension","datasets_with_task":"/datasets/task/machine-reading-comprehension"}],"languages":[],"variants":["OneStopQA"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/malmaud/onestop_qa","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/onestop_qa","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/berzak/onestop-qa","url":"https://github.com/berzak/onestop-qa","frameworks":[]}],"num_papers_in_archive":5,"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."}