--- 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: 1297514.0 num_examples: 371 download_size: 1333293 dataset_size: 1297514.0 - 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: 875807.0 num_examples: 246 download_size: 773726 dataset_size: 875807.0 - 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: 529180.0 num_examples: 150 download_size: 500454 dataset_size: 529180.0 - 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: 1297514.0 num_examples: 371 download_size: 1333293 dataset_size: 1297514.0 - config_name: t_0.1_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: 875025.0 num_examples: 246 download_size: 772946 dataset_size: 875025.0 - config_name: t_0.1_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: 529180.0 num_examples: 150 download_size: 500454 dataset_size: 529180.0 - config_name: t_0.2_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: 1297514.0 num_examples: 371 download_size: 1333293 dataset_size: 1297514.0 - config_name: t_0.2_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: 873870.0 num_examples: 246 download_size: 769424 dataset_size: 873870.0 - config_name: t_0.2_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: 528399.0 num_examples: 150 download_size: 503141 dataset_size: 528399.0 - config_name: t_0.3_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: 1297514.0 num_examples: 371 download_size: 1333293 dataset_size: 1297514.0 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-* ---