ペック

参考文献:

ハッピー

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:pec/happy')

説明：

A dataset of around 350K persona-based empathetic conversations. 
Each speaker is associated with a persona, which comprises multiple persona sentences. 
The response of each conversation is empathetic.

ライセンス: 既知のライセンスはありません
バージョン: 1.0.0
分割:

スプリット	例
`'test'`	22730
`'train'`	157195
`'validation'`	19829年

特徴：

{
    "personas": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "context": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "context_speakers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "response": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_speaker": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

胸から離れて

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:pec/offmychest')

説明：

A dataset of around 350K persona-based empathetic conversations. 
Each speaker is associated with a persona, which comprises multiple persona sentences. 
The response of each conversation is empathetic.

ライセンス: 既知のライセンスはありません
バージョン: 1.0.0
分割:

スプリット	例
`'test'`	15324
`'train'`	123968
`'validation'`	16004

特徴：

{
    "personas": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "context": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "context_speakers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "response": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_speaker": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

全て

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:pec/all')

説明：

A dataset of around 350K persona-based empathetic conversations. 
Each speaker is associated with a persona, which comprises multiple persona sentences. 
The response of each conversation is empathetic.

ライセンス: 既知のライセンスはありません
バージョン: 1.0.0
分割:

スプリット	例
`'test'`	38054
`'train'`	281163
`'validation'`	35833

特徴：

{
    "personas": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "context": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "context_speakers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "response": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_speaker": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}