{"url":"/dataset/turn-level-goals-dataset","name":"Turn-Level Goals Dataset","full_name":null,"description_markdown":"This dataset is a record of the active learning data collected from interacting with PersonaGPT to fine-tune its actions toward turn-level goals, which are text descriptions of decoding goals for each response in a conversation. \n\nThere are 11 possible turn-level goals that can be used to condition the PersonaGPT response at each turn of the conversation. To encode new turn-level goals, use the ActiveGym environment in https://github.com/af1tang/convogym to collect new active learning data.","description_withheld":null,"homepage":"https://github.com/illidanlab/personaGPT/tree/main/data","introduced_date":"2021-10-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/persona-authentication-through-generative","title":"Persona Authentication through Generative Dialogue","first_author":"Fengyi Tang","url":null},"license":{"name":"GPL-3.0","url":"https://github.com/illidanlab/personaGPT/blob/main/LICENSE"},"modalities":[],"tasks":[],"languages":[],"variants":["Turn-Level Goals Dataset"],"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."}