{"url":"/dataset/roft-chatgpt","name":"RoFT-chatgpt","full_name":null,"description_markdown":"RoFT-chatgpt is a variation of RoFT dataset, where the same human prompts are continued with the gpt-3.5-turbo model.  Each dataset sample consists of ten sentences, with the first part written by a human and the remainder completed by an LLM. Consequently, every sample has a boundary indicating the index of the sentence where authorship changes.","description_withheld":null,"homepage":"https://github.com/silversolver/ai_boundary_detection","introduced_date":"2023-11-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/artificial-text-boundary-detection-with","title":"AI-generated text boundary detection with RoFT","first_author":"Laida Kushnareva","url":null},"license":{"name":"MIT","url":"https://opensource.org/license/mit"},"modalities":[],"tasks":[{"name":"Boundary Detection","url":"/task/boundary-detection","datasets_with_task":"/datasets/task/boundary-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RoFT-chatgpt"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/boundary-detection-on-roft-chatgpt","task":"Boundary Detection","dataset_variant":"RoFT-chatgpt","rows":4,"metrics":["Accuracy (%)","MSE"],"first_row_in_archive_order":{"model":"GigaCheck (DN-DAB-DETR)","paper":"/paper/gigacheck-detecting-llm-generated-content","metrics":{"Accuracy (%)":"67.65","MSE":"1.03"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/gigacheck-detecting-llm-generated-content","title":"GigaCheck: Detecting LLM-generated Content","date":"2024-10-31","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/artificial-text-boundary-detection-with","title":"AI-generated text boundary detection with RoFT","date":"2023-11-14","rows_on_this_dataset":3,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"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."}