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  "author": "Shin Kamada",
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  "author": "Shin Kamada",
            
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    "https://doi.org/10.48550/arXiv.1609.09444",
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    {
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      "extra_author": "Takumi Ichimura",
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      "extra_author": "Takumi Ichimura",
            
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      "name": "video-next-frame-prediction",
            
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      "title": "Video Next-Frame Prediction"
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      "name": "video-prediction",
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      "name": "video-prediction",
            
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      "title": "Video Prediction"
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      "title": "Video Prediction"
            
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      "image_display_url": "",
            
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      "name": "video-recognition",
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      "name": "video-recognition",
            
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      "title": "Video Recognition"
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      "title": "Video Recognition"
            
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"https://cs.toronto.edu/~nitish/unsupervised-video/",
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"https://cs.toronto.edu/~nitish/unsupervised-video/",
            
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  "name": "moving-mnist",
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  "name": "moving-mnist",
            
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  "notes": "Moving MNIST is a benchmark data set for video 
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  "notes": "Moving MNIST is a benchmark data set for video 
            
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recognition. There are 10,000 samples including 8,000 for training and 
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recognition. There are 10,000 samples including 8,000 for training and 
            
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2,000 for test. Each sample consists of 20 sequential gray scale 
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      "state": "active",
            
190
      "vocabulary_id": null
231
      "vocabulary_id": null
            
191
    }
232
    }
            
192
  ],
233
  ],
            
193
  "title": "Moving MNIST",
234
  "title": "Moving MNIST",
            
194
  "type": "dataset",
235
  "type": "dataset",
            
195
  "version": ""
236
  "version": ""
            
196
}
237
}