{"url":"/dataset/c-codes-and-complexities-tasty","name":"C++ Codes and Complexities (TASTY)","full_name":"C++ Codes and Complexities (TASTY)","description_markdown":"This is the C++ dataset used in the [TASTY](https://arxiv.org/abs/2305.05379) research paper which was published at the ICLR DL4Code (Deep Learning for Code) workshop.","description_withheld":null,"homepage":"","introduced_date":"2023-05-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/tasty-a-transformer-based-approach-to-space","title":"TASTY: A Transformer based Approach to Space and Time complexity","first_author":"Kaushik Moudgalya","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["C++ Codes and Complexities (TASTY)"],"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."}