Références :
comprendrequoi-original
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:compguesswhat/compguesswhat-original')
- Description :
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
- Licence : Aucune licence connue
- Version : 0.2.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 9621 |
'train' | 46341 |
'validation' | 9738 |
- Caractéristiques :
{
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"_type": "Value"
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"target_id": {
"dtype": "int32",
"id": null,
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"timestamp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"status": {
"dtype": "string",
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},
"image": {
"id": {
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"file_name": {
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"flickr_url": {
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"coco_url": {
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"width": {
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},
"visual_genome": {
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"coco_id": {
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"flickr_id": {
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"id": null,
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"image_id": {
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}
}
},
"qas": {
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},
"answer": {
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},
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"objects": {
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"bbox": {
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}
},
"length": -1,
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}
}
compguesswhat-zero_shot
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:compguesswhat/compguesswhat-zero_shot')
- Description :
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
- Licence : Aucune licence connue
- Version : 0.2.0
- Divisions :
Diviser | Exemples |
---|---|
'nd_test' | 13836 |
'nd_valid' | 5343 |
'od_test' | 13300 |
'od_valid' | 5372 |
- Caractéristiques :
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"_type": "Value"
},
"target_id": {
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"id": null,
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"image": {
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"file_name": {
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"coco_url": {
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},
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},
"width": {
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},
"license": {
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},
"open_images_id": {
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"id": null,
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},
"date_captured": {
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}
},
"objects": {
"feature": {
"id": {
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},
"bbox": {
"feature": {
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},
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"category": {
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"segment": {
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},
"BoxYMax": {
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"id": null,
"_type": "Value"
},
"PredictedIoU": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Clicks": {
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"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
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}
}