lama

Referensi:

trex

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:lama/trex')

Keterangan :

LAMA is a dataset used to probe and analyze the factual and commonsense knowledge contained in pretrained language models. See https://github.com/facebookresearch/LAMA.

Lisensi : Lisensi Internasional Creative Commons Atribusi-Nonkomersial 4.0. lihat https://github.com/facebookresearch/LAMA/blob/master/LICENSE
Versi : 1.1.0
Perpecahan :

Membelah	Contoh
`'train'`	1304391

Fitur :

{
    "uuid": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj_uri": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj_label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub_uri": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub_label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "predicate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub_surface": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj_surface": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "masked_sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "template": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "template_negated": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "description": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "type": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

pasukan

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:lama/squad')

Keterangan :

LAMA is a dataset used to probe and analyze the factual and commonsense knowledge contained in pretrained language models. See https://github.com/facebookresearch/LAMA.

Lisensi : Lisensi Internasional Creative Commons Atribusi-Nonkomersial 4.0. lihat https://github.com/facebookresearch/LAMA/blob/master/LICENSE
Versi : 1.1.0
Perpecahan :

Membelah	Contoh
`'train'`	305

Fitur :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub_label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj_label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "negated": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "masked_sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

google_re

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:lama/google_re')

Keterangan :

LAMA is a dataset used to probe and analyze the factual and commonsense knowledge contained in pretrained language models. See https://github.com/facebookresearch/LAMA.

Lisensi : Lisensi Internasional Creative Commons Atribusi-Nonkomersial 4.0. lihat https://github.com/facebookresearch/LAMA/blob/master/LICENSE
Versi : 1.1.0
Perpecahan :

Membelah	Contoh
`'train'`	6106

Fitur :

{
    "pred": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "evidences": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "judgments": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub_w": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub_label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub_aliases": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj_w": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj_label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj_aliases": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "uuid": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "masked_sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "template": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "template_negated": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

konsepnet

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:lama/conceptnet')

Keterangan :

LAMA is a dataset used to probe and analyze the factual and commonsense knowledge contained in pretrained language models. See https://github.com/facebookresearch/LAMA.

Lisensi : Lisensi Internasional Creative Commons Atribusi-Nonkomersial 4.0. lihat https://github.com/facebookresearch/LAMA/blob/master/LICENSE
Versi : 1.1.0
Perpecahan :

Membelah	Contoh
`'train'`	29774

Fitur :

{
    "uuid": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "pred": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj_label": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "masked_sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "negated": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}