--- dataset_info: - config_name: t_0.01_test features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 1382117.0 num_examples: 371 download_size: 1466746 dataset_size: 1382117.0 - config_name: t_0.01_train features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 916599.0 num_examples: 246 download_size: 983155 dataset_size: 916599.0 - config_name: t_0.01_val features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 558884.0 num_examples: 150 download_size: 605621 dataset_size: 558884.0 - config_name: t_0.1_test features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 1479107.0 num_examples: 371 download_size: 1520213 dataset_size: 1479107.0 - config_name: t_0.99_test features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 1291733.0 num_examples: 371 download_size: 1327582 dataset_size: 1291733.0 - config_name: t_0.99_train features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 872116.0 num_examples: 246 download_size: 770493 dataset_size: 872116.0 - config_name: t_0.99_val features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 526749.0 num_examples: 150 download_size: 498333 dataset_size: 526749.0 - config_name: t_0.9_test features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 1291733.0 num_examples: 371 download_size: 1327582 dataset_size: 1291733.0 - config_name: t_0.9_train features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 872116.0 num_examples: 246 download_size: 770493 dataset_size: 872116.0 - config_name: t_0.9_val features: - name: image dtype: image - name: label_floor_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_object_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: label_orientation dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' - name: label_scale dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' - name: label_shape dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' - name: label_wall_hue dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' - name: value_floor_hue dtype: float32 - name: value_object_hue dtype: float32 - name: value_orientation dtype: float32 - name: value_scale dtype: float32 - name: value_shape dtype: float32 - name: value_wall_hue dtype: float32 splits: - name: train num_bytes: 526749.0 num_examples: 150 download_size: 498333 dataset_size: 526749.0 configs: - config_name: t_0.01_test data_files: - split: train path: t_0.01_test/train-* - config_name: t_0.01_train data_files: - split: train path: t_0.01_train/train-* - config_name: t_0.01_val data_files: - split: train path: t_0.01_val/train-* - config_name: t_0.1_test data_files: - split: train path: t_0.1_test/train-* - config_name: t_0.99_test data_files: - split: train path: t_0.99_test/train-* - config_name: t_0.99_train data_files: - split: train path: t_0.99_train/train-* - config_name: t_0.99_val data_files: - split: train path: t_0.99_val/train-* - config_name: t_0.9_test data_files: - split: train path: t_0.9_test/train-* - config_name: t_0.9_train data_files: - split: train path: t_0.9_train/train-* - config_name: t_0.9_val data_files: - split: train path: t_0.9_val/train-* ---