{"url":"/dataset/benyfits","name":"BeNYfits","full_name":"New York City Public Benefits Eligibility Dialog Agent Benchmark","description_markdown":"Click to add a brief description of the dataset (Markdown and LaTeX enabled).\r\n\r\nProvide:\r\n\r\n* a high-level explanation of the dataset characteristics\r\n* explain motivations and summary of its content\r\n* potential use cases of the dataset\r\n \r\n\r\n\r\nAn agent benchmark for adaptive decision-making in dialog measuring agent accuracy and dialog turn efficiency in helping users determine eligibility for public, real-world opportunities.\r\n\r\nThis dataset containss the following:\r\n* Natural language descriptions of 82 NYC public benefits programs (e.g., tax credits, childcare, subsidized AC)\r\n\r\nTwo simulated user datasets containing all features relevant to that household's eligibility:\r\n\r\n* Representative: 25 households with features drawn from real NYC demographic data\r\n* Diverse: 56 households which, collectively, satisfy nearly every possible acceptance/rejection criteria in all 82 public benefits opportunities","description_withheld":null,"homepage":"https://github.com/mtoles/BeNYfits-ProADA","introduced_date":"2025-02-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/program-synthesis-dialog-agents-for","title":"Program Synthesis Dialog Agents for Interactive Decision-Making","first_author":"Matthew Toles","url":null},"license":null,"modalities":[],"tasks":[{"name":"Task-Oriented Dialogue Systems","url":"/task/task-oriented-dialogue-systems","datasets_with_task":"/datasets/task/task-oriented-dialogue-systems"},{"name":"Decision Making","url":"/task/decision-making","datasets_with_task":"/datasets/task/decision-making"},{"name":"Conversational Response Generation","url":"/task/conversational-response-generation","datasets_with_task":"/datasets/task/conversational-response-generation"},{"name":"AI Agent","url":"/task/ai-agent","datasets_with_task":"/datasets/task/ai-agent"},{"name":"Conversational Search","url":"/task/conversational-search","datasets_with_task":"/datasets/task/conversational-search"},{"name":"Sequential Decision Making","url":"/task/sequential-decision-making","datasets_with_task":"/datasets/task/sequential-decision-making"}],"languages":[],"variants":["BeNYfits"],"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."}