{"url":"/dataset/clues","name":"CLUES","full_name":"Constrained Language Understanding Evaluation Standard","description_markdown":"CLUES (Constrained Language Understanding Evaluation Standard) is a benchmark for evaluating the few-shot learning capabilities of NLU models.","description_withheld":null,"homepage":"https://github.com/microsoft/CLUES","introduced_date":"2021-11-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/clues-few-shot-learning-evaluation-in-natural","title":"CLUES: Few-Shot Learning Evaluation in Natural Language Understanding","first_author":"Subhabrata Mukherjee","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Natural Language Understanding","url":"/task/natural-language-understanding","datasets_with_task":"/datasets/task/natural-language-understanding"}],"languages":[],"variants":["CLUES"],"data_loaders":[],"num_papers_in_archive":1,"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."}