{"url":"/dataset/selqa","name":"SelQA","full_name":null,"description_markdown":"SelQA is a dataset that consists of questions generated through crowdsourcing and sentence length answers that are drawn from the ten most prevalent topics in the English Wikipedia. \r\n\r\nSource: [SelQA: A New Benchmark for Selection-based Question Answering](/paper/selqa-a-new-benchmark-for-selection-based)","description_withheld":null,"homepage":"https://github.com/emorynlp/selqa","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/selqa-a-new-benchmark-for-selection-based","title":"SelQA: A New Benchmark for Selection-based Question Answering","first_author":"Tomasz Jurczyk","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Natural Language Inference","url":"/task/natural-language-inference","datasets_with_task":"/datasets/task/natural-language-inference"},{"name":"Answer Selection","url":"/task/answer-selection","datasets_with_task":"/datasets/task/answer-selection"}],"languages":[],"variants":["SelQA"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/community-datasets/selqa","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/selqa","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/emorynlp/selqa","url":"https://github.com/emorynlp/selqa","frameworks":[]}],"num_papers_in_archive":9,"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."}