{"url":"/dataset/epic","name":"ePiC","full_name":null,"description_markdown":"The ePiC dataset is a unique and high-quality crowdsourced collection of narratives specifically designed for testing abstract language understanding in the context of proverbs. The ePiC dataset stands out for its focus on abstract reasoning in language models, a relatively under-explored area in natural language processing.","description_withheld":null,"homepage":"https://github.com/sgdgp/epic","introduced_date":"2021-09-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/epic-employing-proverbs-in-context-as-a","title":"ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding","first_author":"Sayan Ghosh","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["ePiC"],"data_loaders":[],"num_papers_in_archive":3,"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."}