Datasets › BeNYfits

BeNYfits (New York City Public Benefits Eligibility Dialog Agent Benchmark)

Introduced by Matthew Toles et al. in Program Synthesis Dialog Agents for Interactive Decision-Making26 Feb 2025 archive 2025-07-28

Click to add a brief description of the dataset (Markdown and LaTeX enabled).

Provide:

  • a high-level explanation of the dataset characteristics
  • explain motivations and summary of its content
  • potential use cases of the dataset

An 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.

This dataset containss the following: * Natural language descriptions of 82 NYC public benefits programs (e.g., tax credits, childcare, subsidized AC)

Two simulated user datasets containing all features relevant to that household's eligibility:

  • Representative: 25 households with features drawn from real NYC demographic data
  • Diverse: 56 households which, collectively, satisfy nearly every possible acceptance/rejection criteria in all 82 public benefits opportunities

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • BeNYfits

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections