Riferimenti:
compindovina cosa-originale
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:compguesswhat/compguesswhat-original')
- Descrizione :
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
- Licenza : nessuna licenza conosciuta
- Versione : 0.2.0
- Divide :
| Diviso | Esempi |
|---|---|
'test' | 9621 |
'train' | 46341 |
'validation' | 9738 |
- Caratteristiche :
{
"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": {
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"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"objects": {
"feature": {
"id": {
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"id": null,
"_type": "Value"
},
"bbox": {
"feature": {
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"_type": "Value"
},
"length": 4,
"id": null,
"_type": "Sequence"
},
"category": {
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"id": null,
"_type": "Value"
},
"area": {
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"id": null,
"_type": "Value"
},
"category_id": {
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"id": null,
"_type": "Value"
},
"segment": {
"feature": {
"feature": {
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"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
compguesswhat-zero_shot
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:compguesswhat/compguesswhat-zero_shot')
- Descrizione :
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
- Licenza : nessuna licenza conosciuta
- Versione : 0.2.0
- Divide :
| Diviso | Esempi |
|---|---|
'nd_test' | 13836 |
'nd_valid' | 5343 |
'od_test' | 13300 |
'od_valid' | 5372 |
- Caratteristiche :
{
"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": {
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"id": null,
"_type": "Value"
},
"BoxID": {
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"id": null,
"_type": "Value"
},
"BoxXMin": {
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"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"
}
}