| { | |
| "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict", | |
| "featuresDict": { | |
| "features": { | |
| "steps": { | |
| "pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset", | |
| "sequence": { | |
| "feature": { | |
| "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict", | |
| "featuresDict": { | |
| "features": { | |
| "action": { | |
| "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor", | |
| "tensor": { | |
| "shape": { | |
| "dimensions": [ | |
| "7" | |
| ] | |
| }, | |
| "dtype": "float32", | |
| "encoding": "none" | |
| }, | |
| "description": "Robot EEF action." | |
| }, | |
| "is_terminal": { | |
| "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar", | |
| "tensor": { | |
| "shape": {}, | |
| "dtype": "bool", | |
| "encoding": "none" | |
| }, | |
| "description": "True on last step of the episode if it is a terminal step, True for demos." | |
| }, | |
| "is_last": { | |
| "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar", | |
| "tensor": { | |
| "shape": {}, | |
| "dtype": "bool", | |
| "encoding": "none" | |
| }, | |
| "description": "True on last step of the episode." | |
| }, | |
| "language_instruction_nouns": { | |
| "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text", | |
| "text": {}, | |
| "description": "Language Instruction Nouns." | |
| }, | |
| "observation": { | |
| "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict", | |
| "featuresDict": { | |
| "features": { | |
| "image_reasoning": { | |
| "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text", | |
| "text": {}, | |
| "description": "scene objects as dictionary of bbox and seg index in Main camera." | |
| }, | |
| "wrist_image": { | |
| "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image", | |
| "image": { | |
| "shape": { | |
| "dimensions": [ | |
| "256", | |
| "256", | |
| "3" | |
| ] | |
| }, | |
| "dtype": "uint8", | |
| "encodingFormat": "jpeg" | |
| }, | |
| "description": "Wrist camera RGB observation." | |
| }, | |
| "image": { | |
| "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image", | |
| "image": { | |
| "shape": { | |
| "dimensions": [ | |
| "256", | |
| "256", | |
| "3" | |
| ] | |
| }, | |
| "dtype": "uint8", | |
| "encodingFormat": "jpeg" | |
| }, | |
| "description": "Main camera RGB observation." | |
| }, | |
| "wrist_image_depth": { | |
| "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image", | |
| "image": { | |
| "shape": { | |
| "dimensions": [ | |
| "256", | |
| "256", | |
| "1" | |
| ] | |
| }, | |
| "dtype": "uint8", | |
| "encodingFormat": "jpeg" | |
| }, | |
| "description": "Wrist camera depth observation." | |
| }, | |
| "image_seg": { | |
| "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image", | |
| "image": { | |
| "shape": { | |
| "dimensions": [ | |
| "256", | |
| "256", | |
| "1" | |
| ] | |
| }, | |
| "dtype": "uint8", | |
| "encodingFormat": "png" | |
| }, | |
| "description": "Main camera segmentation observation." | |
| }, | |
| "wrist_image_reasoning": { | |
| "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text", | |
| "text": {}, | |
| "description": "scene objects as dictionary of bbox and seg index in Wrist camera." | |
| }, | |
| "joint_state": { | |
| "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor", | |
| "tensor": { | |
| "shape": { | |
| "dimensions": [ | |
| "7" | |
| ] | |
| }, | |
| "dtype": "float32", | |
| "encoding": "none" | |
| }, | |
| "description": "Robot joint angles." | |
| }, | |
| "state": { | |
| "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor", | |
| "tensor": { | |
| "shape": { | |
| "dimensions": [ | |
| "8" | |
| ] | |
| }, | |
| "dtype": "float32", | |
| "encoding": "none" | |
| }, | |
| "description": "Robot EEF state (6D pose, 2D gripper)." | |
| }, | |
| "wrist_image_seg": { | |
| "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image", | |
| "image": { | |
| "shape": { | |
| "dimensions": [ | |
| "256", | |
| "256", | |
| "1" | |
| ] | |
| }, | |
| "dtype": "uint8", | |
| "encodingFormat": "png" | |
| }, | |
| "description": "Wrist camera segmentation observation." | |
| }, | |
| "image_depth": { | |
| "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image", | |
| "image": { | |
| "shape": { | |
| "dimensions": [ | |
| "256", | |
| "256", | |
| "1" | |
| ] | |
| }, | |
| "dtype": "uint8", | |
| "encodingFormat": "jpeg" | |
| }, | |
| "description": "Main camera depth observation." | |
| } | |
| } | |
| } | |
| }, | |
| "is_first": { | |
| "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar", | |
| "tensor": { | |
| "shape": {}, | |
| "dtype": "bool", | |
| "encoding": "none" | |
| }, | |
| "description": "True on first step of the episode." | |
| }, | |
| "language_instruction": { | |
| "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text", | |
| "text": {}, | |
| "description": "Language Instruction." | |
| }, | |
| "discount": { | |
| "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar", | |
| "tensor": { | |
| "shape": {}, | |
| "dtype": "float32", | |
| "encoding": "none" | |
| }, | |
| "description": "Discount if provided, default to 1." | |
| }, | |
| "reward": { | |
| "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar", | |
| "tensor": { | |
| "shape": {}, | |
| "dtype": "float32", | |
| "encoding": "none" | |
| }, | |
| "description": "Reward if provided, 1 on final step for demos." | |
| } | |
| } | |
| } | |
| }, | |
| "length": "-1" | |
| } | |
| }, | |
| "episode_metadata": { | |
| "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict", | |
| "featuresDict": { | |
| "features": { | |
| "file_path": { | |
| "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text", | |
| "text": {}, | |
| "description": "Path to the original data file." | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |