--- dataset_info: - config_name: t_0.01_test features: - name: x0_pred 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: 1432782.0 num_examples: 371 download_size: 1459560 dataset_size: 1432782.0 - config_name: t_0.01_train features: - name: x0_pred 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: 941719.0 num_examples: 246 download_size: 962161 dataset_size: 941719.0 - config_name: t_0.01_val features: - name: x0_pred 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: 580013.0 num_examples: 150 download_size: 596900 dataset_size: 580013.0 - config_name: t_0.1_test features: - name: x0_pred 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: 1461017.0 num_examples: 371 download_size: 1489152 dataset_size: 1461017.0 - config_name: t_0.1_train features: - name: x0_pred 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: 970278.0 num_examples: 246 download_size: 992626 dataset_size: 970278.0 - config_name: t_0.1_val features: - name: x0_pred 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: 596387.0 num_examples: 150 download_size: 613189 dataset_size: 596387.0 - config_name: t_0.2_test features: - name: x0_pred 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: 1584555.0 num_examples: 371 download_size: 1618786 dataset_size: 1584555.0 - config_name: t_0.2_train features: - name: x0_pred 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: 1034975.0 num_examples: 246 download_size: 1060583 dataset_size: 1034975.0 - config_name: t_0.2_val features: - name: x0_pred 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: 635480.0 num_examples: 150 download_size: 656961 dataset_size: 635480.0 - config_name: t_0.3_test features: - name: x0_pred 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: 1805072.0 num_examples: 371 download_size: 1836817 dataset_size: 1805072.0 - config_name: t_0.3_train features: - name: x0_pred 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: 1193323.0 num_examples: 246 download_size: 1227628 dataset_size: 1193323.0 - config_name: t_0.3_val features: - name: x0_pred 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: 730696.0 num_examples: 150 download_size: 756242 dataset_size: 730696.0 - config_name: t_0.4_test features: - name: x0_pred 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: 2056013.0 num_examples: 371 download_size: 2053426 dataset_size: 2056013.0 - config_name: t_0.4_train features: - name: x0_pred 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: 1358624.0 num_examples: 246 download_size: 1359677 dataset_size: 1358624.0 - config_name: t_0.4_val features: - name: x0_pred 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: 831001.0 num_examples: 150 download_size: 833937 dataset_size: 831001.0 - config_name: t_0.5_test features: - name: x0_pred 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: 2304075.0 num_examples: 371 download_size: 2301517 dataset_size: 2304075.0 - config_name: t_0.5_train features: - name: x0_pred 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: 1525249.0 num_examples: 246 download_size: 1526341 dataset_size: 1525249.0 - config_name: t_0.5_val features: - name: x0_pred 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: 931771.0 num_examples: 150 download_size: 934699 dataset_size: 931771.0 - config_name: t_0.6_test features: - name: x0_pred 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: 2674468.0 num_examples: 371 download_size: 2671923 dataset_size: 2674468.0 - config_name: t_0.6_train features: - name: x0_pred 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: 1771960.0 num_examples: 246 download_size: 1773096 dataset_size: 1771960.0 - config_name: t_0.6_val features: - name: x0_pred 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: 1082010.0 num_examples: 150 download_size: 1085028 dataset_size: 1082010.0 - config_name: t_0.7_test features: - name: x0_pred 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: 3113597.0 num_examples: 371 download_size: 3111053 dataset_size: 3113597.0 - config_name: t_0.7_train features: - name: x0_pred 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: 2070606.0 num_examples: 246 download_size: 2071771 dataset_size: 2070606.0 - config_name: t_0.7_val features: - name: x0_pred 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: 1258666.0 num_examples: 150 download_size: 1261652 dataset_size: 1258666.0 - config_name: t_0.8_test features: - name: x0_pred 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: 3611447.0 num_examples: 371 download_size: 3608944 dataset_size: 3611447.0 - config_name: t_0.8_train features: - name: x0_pred 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: 2399676.0 num_examples: 246 download_size: 2400857 dataset_size: 2399676.0 - config_name: t_0.8_val features: - name: x0_pred 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: 1459055.0 num_examples: 150 download_size: 1462075 dataset_size: 1459055.0 - config_name: t_0.99_test features: - name: x0_pred 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: 4148258.0 num_examples: 371 download_size: 4145915 dataset_size: 4148258.0 - config_name: t_0.99_train features: - name: x0_pred 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: 2760038.0 num_examples: 246 download_size: 2761336 dataset_size: 2760038.0 - config_name: t_0.99_val features: - name: x0_pred 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: 1673634.0 num_examples: 150 download_size: 1676780 dataset_size: 1673634.0 - config_name: t_0.9_test features: - name: x0_pred 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: 4019442.0 num_examples: 371 download_size: 4017096 dataset_size: 4019442.0 - config_name: t_0.9_train features: - name: x0_pred 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: 2671776.0 num_examples: 246 download_size: 2673070 dataset_size: 2671776.0 - config_name: t_0.9_val features: - name: x0_pred 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: 1619733.0 num_examples: 150 download_size: 1622882 dataset_size: 1619733.0 - config_name: t_1.0_test features: - name: x0_pred 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: 4153611.0 num_examples: 371 download_size: 4151271 dataset_size: 4153611.0 - config_name: t_1.0_train features: - name: x0_pred 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: 2763857.0 num_examples: 246 download_size: 2765154 dataset_size: 2763857.0 - config_name: t_1.0_val features: - name: x0_pred 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: 1676088.0 num_examples: 150 download_size: 1679232 dataset_size: 1676088.0 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_0.1_train data_files: - split: train path: t_0.1_train/train-* - config_name: t_0.1_val data_files: - split: train path: t_0.1_val/train-* - config_name: t_0.2_test data_files: - split: train path: t_0.2_test/train-* - config_name: t_0.2_train data_files: - split: train path: t_0.2_train/train-* - config_name: t_0.2_val data_files: - split: train path: t_0.2_val/train-* - config_name: t_0.3_test data_files: - split: train path: t_0.3_test/train-* - config_name: t_0.3_train data_files: - split: train path: t_0.3_train/train-* - config_name: t_0.3_val data_files: - split: train path: t_0.3_val/train-* - config_name: t_0.4_test data_files: - split: train path: t_0.4_test/train-* - config_name: t_0.4_train data_files: - split: train path: t_0.4_train/train-* - config_name: t_0.4_val data_files: - split: train path: t_0.4_val/train-* - config_name: t_0.5_test data_files: - split: train path: t_0.5_test/train-* - config_name: t_0.5_train data_files: - split: train path: t_0.5_train/train-* - config_name: t_0.5_val data_files: - split: train path: t_0.5_val/train-* - config_name: t_0.6_test data_files: - split: train path: t_0.6_test/train-* - config_name: t_0.6_train data_files: - split: train path: t_0.6_train/train-* - config_name: t_0.6_val data_files: - split: train path: t_0.6_val/train-* - config_name: t_0.7_test data_files: - split: train path: t_0.7_test/train-* - config_name: t_0.7_train data_files: - split: train path: t_0.7_train/train-* - config_name: t_0.7_val data_files: - split: train path: t_0.7_val/train-* - config_name: t_0.8_test data_files: - split: train path: t_0.8_test/train-* - config_name: t_0.8_train data_files: - split: train path: t_0.8_train/train-* - config_name: t_0.8_val data_files: - split: train path: t_0.8_val/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-* - config_name: t_1.0_test data_files: - split: train path: t_1.0_test/train-* - config_name: t_1.0_train data_files: - split: train path: t_1.0_train/train-* - config_name: t_1.0_val data_files: - split: train path: t_1.0_val/train-* ---