{"url":"/dataset/clues-classifier-learning-using-natural","name":"CLUES (Classifier Learning Using natural language ExplanationS)","full_name":null,"description_markdown":"**CLUES** is a benchmark for Classifier Learning Using natural language ExplanationS, consisting of a range of classification tasks over structured data along with natural language supervision in the form of explanations. CLUES consists of 36 real-world (CLUES-Real) and 144 synthetic (CLUES-Synthetic) classification tasks. It contains crowdsourced explanations describing real-world tasks from multiple teachers and programmatically generated explanations for the synthetic tasks.\r\n\r\nThe dataset has been created by a team of NLP researchers at UNC Chapel Hill.\r\n\r\nDescription from: [CLUES](https://clues-benchmark.github.io/)","description_withheld":null,"homepage":"https://clues-benchmark.github.io/","introduced_date":"2022-04-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/clues-a-benchmark-for-learning-classifiers","title":"CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations","first_author":"Rakesh R Menon","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CLUES (Classifier Learning Using natural language ExplanationS)"],"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."}