spesifikasi

Referensi:

senang

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

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

Keterangan :

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.

Lisensi : Tidak ada lisensi yang diketahui
Versi : 1.0.0
Perpecahan :

Membelah	Contoh
`'test'`	22730
`'train'`	157195
`'validation'`	19829

Fitur :

{
    "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"
    }
}

diluar dadaku

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

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

Keterangan :

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.

Lisensi : Tidak ada lisensi yang diketahui
Versi : 1.0.0
Perpecahan :

Membelah	Contoh
`'test'`	15324
`'train'`	123968
`'validation'`	16004

Fitur :

{
    "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"
    }
}

semua

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

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

Keterangan :

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.

Lisensi : Tidak ada lisensi yang diketahui
Versi : 1.0.0
Perpecahan :

Membelah	Contoh
`'test'`	38054
`'train'`	281163
`'validation'`	35833

Fitur :

{
    "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"
    }
}