dialogues_empathiques

Références:

• Code
• Visage étreignant

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:empathetic_dialogues')

• Descriptif :

PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

• Licence : Aucune licence connue
• Version : 0.1.0
• Fractionnements :

• Caractéristiques :

{
    "conv_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterance_idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "prompt": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "speaker_idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "utterance": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "selfeval": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "tags": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}