deal_or_no_dialog

References:

dialogues

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:deal_or_no_dialog/dialogues')
  • Description:
A large dataset of human-human negotiations on a multi-issue bargaining task, where agents who cannot observe each others reward functions must reach anagreement (o a deal) via natural language dialogue.
  • License: The project is licenced under CC-by-NC
  • Version: 1.1.0
  • Splits:
Split Examples
'test' 1052
'train' 10095
'validation' 1087
  • Features:
{
    "input": {
        "feature": {
            "count": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "value": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "dialogue": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "output": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "partner_input": {
        "feature": {
            "count": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "value": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

self_play

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:deal_or_no_dialog/self_play')
  • Description:
A large dataset of human-human negotiations on a multi-issue bargaining task, where agents who cannot observe each others reward functions must reach anagreement (o a deal) via natural language dialogue.
  • License: The project is licenced under CC-by-NC
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 8172
  • Features:
{
    "input": {
        "feature": {
            "count": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "value": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}