Referencias:
compguesswhat-original
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:compguesswhat/compguesswhat-original')
- Descripción :
CompGuessWhat?! is an instance of a multi-task framework for evaluating the quality of learned neural representations,
in particular concerning attribute grounding. Use this dataset if you want to use the set of games whose reference
scene is an image in VisualGenome. Visit the website for more details: https://compguesswhat.github.io
- Licencia : Sin licencia conocida
- Versión : 0.2.0
- Divisiones :
Separar | Ejemplos |
---|---|
'test' | 9621 |
'train' | 46341 |
'validation' | 9738 |
- Características :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"target_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"timestamp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"status": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"image": {
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"file_name": {
"dtype": "string",
"id": null,
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},
"flickr_url": {
"dtype": "string",
"id": null,
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},
"coco_url": {
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"id": null,
"_type": "Value"
},
"height": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"width": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"visual_genome": {
"width": {
"dtype": "int32",
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"_type": "Value"
},
"height": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"url": {
"dtype": "string",
"id": null,
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},
"coco_id": {
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},
"flickr_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"image_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
},
"qas": {
"feature": {
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"objects": {
"feature": {
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"bbox": {
"feature": {
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},
"length": 4,
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"segment": {
"feature": {
"feature": {
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},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
compguesswhat-zero_shot
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:compguesswhat/compguesswhat-zero_shot')
- Descripción :
CompGuessWhat?! is an instance of a multi-task framework for evaluating the quality of learned neural representations,
in particular concerning attribute grounding. Use this dataset if you want to use the set of games whose reference
scene is an image in VisualGenome. Visit the website for more details: https://compguesswhat.github.io
- Licencia : Sin licencia conocida
- Versión : 0.2.0
- Divisiones :
Separar | Ejemplos |
---|---|
'nd_test' | 13836 |
'nd_valid' | 5343 |
'od_test' | 13300 |
'od_valid' | 5372 |
- Características :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"target_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"status": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"image": {
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"file_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"coco_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"height": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"width": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"license": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"open_images_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date_captured": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"objects": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"bbox": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": 4,
"id": null,
"_type": "Sequence"
},
"category": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"area": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"category_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"IsOccluded": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"IsTruncated": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"segment": {
"feature": {
"MaskPath": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"LabelName": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxID": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxXMin": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxXMax": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxYMin": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxYMax": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"PredictedIoU": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Clicks": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
,Referencias:
compguesswhat-original
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:compguesswhat/compguesswhat-original')
- Descripción :
CompGuessWhat?! is an instance of a multi-task framework for evaluating the quality of learned neural representations,
in particular concerning attribute grounding. Use this dataset if you want to use the set of games whose reference
scene is an image in VisualGenome. Visit the website for more details: https://compguesswhat.github.io
- Licencia : Sin licencia conocida
- Versión : 0.2.0
- Divisiones :
Separar | Ejemplos |
---|---|
'test' | 9621 |
'train' | 46341 |
'validation' | 9738 |
- Características :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"target_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"timestamp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"status": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"image": {
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"file_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"flickr_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"coco_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"height": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"width": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"visual_genome": {
"width": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"height": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"coco_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"flickr_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"image_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
},
"qas": {
"feature": {
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"objects": {
"feature": {
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"bbox": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": 4,
"id": null,
"_type": "Sequence"
},
"category": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"area": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"category_id": {
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"id": null,
"_type": "Value"
},
"segment": {
"feature": {
"feature": {
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},
"length": -1,
"id": null,
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},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
compguesswhat-zero_shot
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:compguesswhat/compguesswhat-zero_shot')
- Descripción :
CompGuessWhat?! is an instance of a multi-task framework for evaluating the quality of learned neural representations,
in particular concerning attribute grounding. Use this dataset if you want to use the set of games whose reference
scene is an image in VisualGenome. Visit the website for more details: https://compguesswhat.github.io
- Licencia : Sin licencia conocida
- Versión : 0.2.0
- Divisiones :
Separar | Ejemplos |
---|---|
'nd_test' | 13836 |
'nd_valid' | 5343 |
'od_test' | 13300 |
'od_valid' | 5372 |
- Características :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"target_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"status": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"image": {
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"file_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"coco_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"height": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"width": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"license": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"open_images_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date_captured": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"objects": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"bbox": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": 4,
"id": null,
"_type": "Sequence"
},
"category": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"area": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"category_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"IsOccluded": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"IsTruncated": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"segment": {
"feature": {
"MaskPath": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"LabelName": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxID": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxXMin": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxXMax": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxYMin": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"BoxYMax": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"PredictedIoU": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Clicks": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}