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README.md
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from dataclasses import dataclass
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import datasets
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@dataclass
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class ReplaceImagePath():
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path_map: {}
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for k, v in self.path_map.items():
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features['image'] = features['image'].replace(k, v)
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return features
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# setting
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ds_visdial = datasets.load_dataset('jxu124/visdial')
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path_coco = "/path/to/coco"
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path_visdial = "/path/to/jxu124/visdial"
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# 解压图片压缩文件(直接内存映射,不消耗时间)
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dl_manager = datasets.DownloadManager()
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path_visdial_dict = datasets.DownloadManager().download_and_extract({
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"test": f"{path_visdial}/data/VisualDialog_test2018.zip",
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"validation": f"{path_visdial}/data/VisualDialog_val2018.zip"
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})
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# 设置路径映射
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path_map = {
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"coco": path_coco,
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"visdial/VisualDialog_test2018": f"{path_visdial_dict['test']}/VisualDialog_test2018",
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"visdial/VisualDialog_val2018": f"{path_visdial_dict['validation']}/VisualDialog_val2018"
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}
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# apply your datasets
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ds_visdial = ds_visdial.map(ReplaceImagePath(path_map)).cast_column("image", datasets.Image())
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```
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from dataclasses import dataclass
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import datasets
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# load and path setting
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ds_visdial = datasets.load_dataset('jxu124/visdial')
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path_map = {
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"coco/train2014": f"/datasets/coco/train2014",
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"coco/val2014": f"/datasets/coco/val2014",
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"visdial/VisualDialog_test2018": f"/datasets/visdial/VisualDialog_test2018",
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"visdial/VisualDialog_val2018": f"/datasets/visdial/VisualDialog_val2018"
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}
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# apply to your datasets
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@dataclass
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class ReplaceImagePath():
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path_map: {}
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for k, v in self.path_map.items():
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features['image'] = features['image'].replace(k, v)
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return features
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ds_visdial = ds_visdial.map(ReplaceImagePath(path_map=path_map)).cast_column("image", datasets.Image())
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```
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