textvqa

مراجع:

• شفرة
• معانقة

يدرب

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

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

• وصف :

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.

• الترخيص : CC BY 4.0
• الإصدار : 0.5.1
• الإنشقاقات :

ينقسم	أمثلة
'test'	5734
'train'	34602
'validation'	5000

• سمات :

{
    "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": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "image_classes": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "set_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

فال

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

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

• وصف :

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.

• الترخيص : CC BY 4.0
• الإصدار : 0.5.1
• الإنشقاقات :

ينقسم	أمثلة
'test'	5734
'train'	34602
'validation'	5000

• سمات :

{
    "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": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "image_classes": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "set_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

امتحان

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

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

• وصف :

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.

• الترخيص : CC BY 4.0
• الإصدار : 0.5.1
• الإنشقاقات :

ينقسم	أمثلة
'test'	5734
'train'	34602
'validation'	5000

• سمات :

{
    "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": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "image_classes": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "set_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

com.textvqa

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

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

• وصف :

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.

• الترخيص : CC BY 4.0
• الإصدار : 0.5.1
• الإنشقاقات :

ينقسم	أمثلة
'test'	5734
'train'	34602
'validation'	5000

• سمات :

{
    "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": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "image_classes": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "set_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}