Datasets › Turn-Level Goals Dataset

Turn-Level Goals Dataset

Introduced by Fengyi Tang et al. in Persona Authentication through Generative Dialogue25 Oct 2021 archive 2025-07-28

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.

There 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.

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

GPL-3.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Turn-Level Goals Dataset

1 variant name, as the archive lists them.

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