textvqa

مراجع:

• کد
• صورت در آغوش گرفته

قطار

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:textvqa/train')

• توضیحات :

TextVQA requires models to read and reason about text in images to answer questions about them. 
Specifically, models need to incorporate a new modality of text present in the images and reason 
over it to answer TextVQA questions. TextVQA dataset contains 45,336 questions over 28,408 images
from the OpenImages dataset.

• مجوز : CC BY 4.0
• نسخه : 0.5.1
• تقسیم ها :

تقسیم کنید	نمونه ها
'test'	5734
'train'	34602
'validation'	5000

• ویژگی ها :

{
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        "dtype": "string",
        "id": null,
        "_type": "Value"
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    "question_id": {
        "dtype": "int32",
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    "question": {
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    "image": {
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    "image_height": {
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    "flickr_original_url": {
        "dtype": "string",
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    "flickr_300k_url": {
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    "answers": {
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}

val

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:textvqa/val')

• توضیحات :

TextVQA requires models to read and reason about text in images to answer questions about them. 
Specifically, models need to incorporate a new modality of text present in the images and reason 
over it to answer TextVQA questions. TextVQA dataset contains 45,336 questions over 28,408 images
from the OpenImages dataset.

• مجوز : CC BY 4.0
• نسخه : 0.5.1
• تقسیم ها :

تقسیم کنید	نمونه ها
'test'	5734
'train'	34602
'validation'	5000

• ویژگی ها :

{
    "image_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_tokens": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "image": {
        "decode": true,
        "id": null,
        "_type": "Image"
    },
    "image_width": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "image_height": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "flickr_original_url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "flickr_300k_url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
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            "id": null,
            "_type": "Value"
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        "length": -1,
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    "image_classes": {
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    "set_name": {
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}

تست کنید

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:textvqa/test')

• توضیحات :

TextVQA requires models to read and reason about text in images to answer questions about them. 
Specifically, models need to incorporate a new modality of text present in the images and reason 
over it to answer TextVQA questions. TextVQA dataset contains 45,336 questions over 28,408 images
from the OpenImages dataset.

• مجوز : CC BY 4.0
• نسخه : 0.5.1
• تقسیم ها :

تقسیم کنید	نمونه ها
'test'	5734
'train'	34602
'validation'	5000

• ویژگی ها :

{
    "image_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_tokens": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "image": {
        "decode": true,
        "id": null,
        "_type": "Image"
    },
    "image_width": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "image_height": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "flickr_original_url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "flickr_300k_url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
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            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "image_classes": {
        "feature": {
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            "_type": "Value"
        },
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        "_type": "Sequence"
    },
    "set_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

textvqa

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:textvqa/textvqa')

• توضیحات :

TextVQA requires models to read and reason about text in images to answer questions about them.
Specifically, models need to incorporate a new modality of text present in the images and reason
over it to answer TextVQA questions. TextVQA dataset contains 45,336 questions over 28,408 images
from the OpenImages dataset.

• مجوز : CC BY 4.0
• نسخه : 0.5.1
• تقسیم ها :

تقسیم کنید	نمونه ها
'test'	5734
'train'	34602
'validation'	5000

• ویژگی ها :

{
    "image_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_tokens": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "image": {
        "decode": true,
        "id": null,
        "_type": "Image"
    },
    "image_width": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "image_height": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "flickr_original_url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "flickr_300k_url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
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}