ลามะ

อ้างอิง:

เทร็กซ์

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

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

คำอธิบาย :

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.

ใบอนุญาต : ใบอนุญาตสากลของ Creative Commons Attribution-Noncommercial 4.0 ดู https://github.com/facebookresearch/LAMA/blob/master/LICENSE
เวอร์ชั่น : 1.1.0
แยก :

แยก	ตัวอย่าง
`'train'`	1304391

คุณสมบัติ :

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

ทีม

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

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

คำอธิบาย :

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.

ใบอนุญาต : ใบอนุญาตสากลของ Creative Commons Attribution-Noncommercial 4.0 ดู https://github.com/facebookresearch/LAMA/blob/master/LICENSE
เวอร์ชั่น : 1.1.0
แยก :

แยก	ตัวอย่าง
`'train'`	305

คุณสมบัติ :

{
    "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

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

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

คำอธิบาย :

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.

ใบอนุญาต : ใบอนุญาตสากลของ Creative Commons Attribution-Noncommercial 4.0 ดู https://github.com/facebookresearch/LAMA/blob/master/LICENSE
เวอร์ชั่น : 1.1.0
แยก :

แยก	ตัวอย่าง
`'train'`	6106

คุณสมบัติ :

{
    "pred": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sub": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "obj": {
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    },
    "evidences": {
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    },
    "judgments": {
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    },
    "sub_w": {
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        "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"
    }
}

คอนเซ็ปต์เน็ต

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

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

คำอธิบาย :

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.

ใบอนุญาต : ใบอนุญาตสากลของ Creative Commons Attribution-Noncommercial 4.0 ดู https://github.com/facebookresearch/LAMA/blob/master/LICENSE
เวอร์ชั่น : 1.1.0
แยก :

แยก	ตัวอย่าง
`'train'`	29774

คุณสมบัติ :

{
    "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"
    }
}