Datasets › TARA

TARA

Introduced by Lei LI et al. in Tool-Augmented Reward Modeling2 Oct 2023 archive 2025-07-28

TARA is a dataset for tool-augmented reward modeling, which includes comprehensive comparison data of human preferences and detailed tool invocation processes.

TARA comprises a total of 13,604 training datasets and 1,469 test sets, each consisting of a question, a positive answer, and a negative answer. TARA incorporates a diverse set of seven tools that span across various domains, encompassing mathematical operations, code-related inquiries, closed-ended and open-ended question answering, knowledge-based queries, and time-sensitive information requests.

Refer to github for details.

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

No task tagged in the archive.

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

Languages archive 2025-07-28

Variants archive 2025-07-28

  • TARA

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