مراجع:
trex
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:lama/trex')
- توضیحات :
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.
- مجوز : Creative Commons Attribution-NonCommercial 4.0 International License. https://github.com/facebookresearch/LAMA/blob/master/LICENSE را ببینید
- نسخه : 1.1.0
- تقسیم ها :
تقسیم کنید | نمونه ها |
---|---|
'train' | 1304391 |
- ویژگی ها :
{
"uuid": {
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},
"obj_uri": {
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"id": null,
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"obj_label": {
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"sub_uri": {
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"description": {
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"type": {
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}
تیم
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:lama/squad')
- توضیحات :
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.
- مجوز : Creative Commons Attribution-NonCommercial 4.0 International License. https://github.com/facebookresearch/LAMA/blob/master/LICENSE را ببینید
- نسخه : 1.1.0
- تقسیم ها :
تقسیم کنید | نمونه ها |
---|---|
'train' | 305 |
- ویژگی ها :
{
"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
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:lama/google_re')
- توضیحات :
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.
- مجوز : Creative Commons Attribution-NonCommercial 4.0 International License. https://github.com/facebookresearch/LAMA/blob/master/LICENSE را ببینید
- نسخه : 1.1.0
- تقسیم ها :
تقسیم کنید | نمونه ها |
---|---|
'train' | 6106 |
- ویژگی ها :
{
"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": {
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"id": null,
"_type": "Value"
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"sub_label": {
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"sub_aliases": {
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"obj_w": {
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"obj_aliases": {
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},
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"id": null,
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},
"masked_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"template": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"template_negated": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
شبکه مفهومی
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:lama/conceptnet')
- توضیحات :
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.
- مجوز : Creative Commons Attribution-NonCommercial 4.0 International License. https://github.com/facebookresearch/LAMA/blob/master/LICENSE را ببینید
- نسخه : 1.1.0
- تقسیم ها :
تقسیم کنید | نمونه ها |
---|---|
'train' | 29774 |
- ویژگی ها :
{
"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"
}
}