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مراجع:

compguesswhat-original

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

ds = tfds.load('huggingface:compguesswhat/compguesswhat-original')
  • توضیحات :
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
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.2.0
  • تقسیمات :
تقسیم کنید نمونه ها
'test' 9621
'train' 46341
'validation' 9738
  • ویژگی ها :
{
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        "dtype": "int32",
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        "_type": "Value"
    },
    "target_id": {
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    },
    "timestamp": {
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    "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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        },
        "height": {
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            "id": null,
            "_type": "Value"
        },
        "width": {
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            "id": null,
            "_type": "Value"
        },
        "visual_genome": {
            "width": {
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                "_type": "Value"
            },
            "height": {
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            "url": {
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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"
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            "id": {
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                "id": null,
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            }
        },
        "length": -1,
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    },
    "objects": {
        "feature": {
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            },
            "bbox": {
                "feature": {
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                },
                "length": 4,
                "id": null,
                "_type": "Sequence"
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            "category": {
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                "_type": "Value"
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            "area": {
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                "id": null,
                "_type": "Value"
            },
            "category_id": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "segment": {
                "feature": {
                    "feature": {
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                        "id": null,
                        "_type": "Value"
                    },
                    "length": -1,
                    "id": null,
                    "_type": "Sequence"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

compguesswhat-zero_shot

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

ds = tfds.load('huggingface:compguesswhat/compguesswhat-zero_shot')
  • توضیحات :
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
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.2.0
  • تقسیمات :
تقسیم کنید نمونه ها
'nd_test' 13836
'nd_valid' 5343
'od_test' 13300
'od_valid' 5372
  • ویژگی ها :
{
    "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": {
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            "id": null,
            "_type": "Value"
        },
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        },
        "license": {
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            "id": null,
            "_type": "Value"
        },
        "open_images_id": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "date_captured": {
            "dtype": "string",
            "id": null,
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        }
    },
    "objects": {
        "feature": {
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            },
            "bbox": {
                "feature": {
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                },
                "length": 4,
                "id": null,
                "_type": "Sequence"
            },
            "category": {
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                "_type": "Value"
            },
            "area": {
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                "id": null,
                "_type": "Value"
            },
            "category_id": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "IsOccluded": {
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            },
            "IsTruncated": {
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                "_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": {
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                        "_type": "Value"
                    },
                    "BoxXMax": {
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                    },
                    "BoxYMin": {
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                        "_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"
    }
}