{ "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 action, consists of [7x joint velocities, 2x gripper velocities, 1x terminate episode]." }, "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": { "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text", "text": {}, "description": "Language Instruction." }, "observation": { "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict", "featuresDict": { "features": { "image": { "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image", "image": { "shape": { "dimensions": [ "800", "848", "3" ] }, "dtype": "uint8", "encodingFormat": "png" }, "description": "Main camera RGB observation." }, "state": { "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor", "tensor": { "shape": { "dimensions": [ "6" ] }, "dtype": "float32", "encoding": "none" }, "description": "Robot state, consists of [3x position, 3x orientation]." } } } }, "is_first": { "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar", "tensor": { "shape": {}, "dtype": "bool", "encoding": "none" }, "description": "True on first step of the episode." }, "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" } } } } }