Teach-Turns

A rearranged & simplified version of the TEACh-DA dataset (GitHub) for turn-based LLM usage.

Dataset Sources

Original Data:

• Repository: https://github.com/alexa/teach/tree/main
• Paper: Dialog Acts for Task-Driven Embodied Agents

This Dataset:

• Repository: https://github.com/Dandandooo/user-simulator
• Paper: Simulating User Agents for Embodied Conversational AI

Dataset Structure

"goal": str,
"file_id": str,
"turns": [{
    "timestamp": str,
    "turn_action": str,
    "COMMANDER": {
        "action": str,
        "utterance": str,
        "das": [str, str, str],
        "image": PIL image,
    },
    "DRIVER": {
      "action": str,
      "utterance": str,
      "das": [str, str, str],
      "image": PIL image,
  },
  "target_object": PIL image,
}, ...]

Citation

BibTeX:

Source Data:

@inproceedings{teachda,
  title={{Dialog Acts for Task-Driven Embodied Agents}},
  author={Gella, Spandana and Padmakumar, Aishwarya and Lange, Patrick and Hakkani-Tur, Dilek},
  booktitle={Proceedings of the 23nd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial)},
  year={2022},
  pages={111-123}
}

Dataset Card Authors

Daniel Philipov