deal_or_no_dialog

References:

• Code
• Huggingface

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 other’s 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:

• 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 other’s 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:

• Features:

{
    "input": {
        "feature": {
            "count": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "value": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}