{"url":"/dataset/codeinstruct","name":"CodeInstruct","full_name":"InstructCoder, CodeInstruct","description_markdown":"InstructCoder is the first dataset designed to adapt LLMs for general code editing. It consists of over 100k instruction-input-output triplets and covers multiple distinct code editing scenarios, generated by ChatGPT. LLaMA-33B finetuned on InstructCoder performs on par with ChatGPT on a real-world test set derived from GitHub commits.","description_withheld":null,"homepage":"https://huggingface.co/datasets/happylkx/InstructCoder","introduced_date":"2023-05-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/codeinstruct-empowering-language-models-to","title":"CodeInstruct: Empowering Language Models to Edit Code","first_author":"Qisheng Hu*","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CodeInstruct"],"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."}