{"url":"/dataset/fewglue","name":"FewGlue","full_name":null,"description_markdown":"FewGLUE consists of a random selection of 32 training examples from the SuperGLUE training sets and up to 20,000 unlabeled examples for each SuperGLUE task.\r\n\r\nSource: [FewGlue](https://github.com/timoschick/fewglue)","description_withheld":null,"homepage":"https://github.com/timoschick/fewglue","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/it-s-not-just-size-that-matters-small","title":"It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners","first_author":"Timo Schick","url":null},"license":null,"modalities":[],"tasks":[{"name":"Natural Language Understanding","url":"/task/natural-language-understanding","datasets_with_task":"/datasets/task/natural-language-understanding"}],"languages":[],"variants":["FewGlue"],"data_loaders":[{"repo":"https://github.com/timoschick/fewglue","url":"https://github.com/timoschick/fewglue","frameworks":[]}],"num_papers_in_archive":13,"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."}