{
    "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": {
                                "observation": {
                                    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
                                    "featuresDict": {
                                        "features": {
                                            "image": {
                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
                                                "image": {
                                                    "shape": {
                                                        "dimensions": [
                                                            "240",
                                                            "320",
                                                            "3"
                                                        ]
                                                    },
                                                    "dtype": "uint8",
                                                    "encodingFormat": "jpeg"
                                                },
                                                "description": "Main camera RGB observation."
                                            },
                                            "image1": {
                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
                                                "image": {
                                                    "shape": {
                                                        "dimensions": [
                                                            "240",
                                                            "320",
                                                            "3"
                                                        ]
                                                    },
                                                    "dtype": "uint8",
                                                    "encodingFormat": "jpeg"
                                                },
                                                "description": "Main camera RGB observation."
                                            },
                                            "image2": {
                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
                                                "image": {
                                                    "shape": {
                                                        "dimensions": [
                                                            "240",
                                                            "320",
                                                            "3"
                                                        ]
                                                    },
                                                    "dtype": "uint8",
                                                    "encodingFormat": "jpeg"
                                                },
                                                "description": "Main camera RGB observation."
                                            },
                                            "state": {
                                                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                                "tensor": {
                                                    "shape": {
                                                        "dimensions": [
                                                            "5"
                                                        ]
                                                    },
                                                    "dtype": "float32",
                                                    "encoding": "none"
                                                },
                                                "description": "Robot state, consists of eef position, wristorientation, and gripper state[e_x, e_y, e_z, theta, gripper]."
                                            }
                                        }
                                    }
                                },
                                "reward": {
                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
                                    "tensor": {
                                        "shape": {},
                                        "dtype": "float32",
                                        "encoding": "none"
                                    },
                                    "description": "Reward if provided, 0 for all random data."
                                },
                                "is_first": {
                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                    "tensor": {
                                        "shape": {},
                                        "dtype": "bool",
                                        "encoding": "none"
                                    }
                                },
                                "is_terminal": {
                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                    "tensor": {
                                        "shape": {},
                                        "dtype": "bool",
                                        "encoding": "none"
                                    }
                                },
                                "action": {
                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                    "tensor": {
                                        "shape": {
                                            "dimensions": [
                                                "5"
                                            ]
                                        },
                                        "dtype": "float32",
                                        "encoding": "none"
                                    },
                                    "description": "Robot action, consists of [3x eef delta, 1x wrist rotation, 1x gripper width target]."
                                },
                                "discount": {
                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
                                    "tensor": {
                                        "shape": {},
                                        "dtype": "float32",
                                        "encoding": "none"
                                    },
                                    "description": "Discount if provided, default to 1."
                                },
                                "language_embedding": {
                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                    "tensor": {
                                        "shape": {
                                            "dimensions": [
                                                "512"
                                            ]
                                        },
                                        "dtype": "float32",
                                        "encoding": "none"
                                    },
                                    "description": "Kona language embedding. See https://tfhub.dev/google/universal-sentence-encoder-large/5"
                                },
                                "is_last": {
                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                    "tensor": {
                                        "shape": {},
                                        "dtype": "bool",
                                        "encoding": "none"
                                    }
                                },
                                "language_instruction": {
                                    "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
                                    "text": {},
                                    "description": "Language Instruction."
                                }
                            }
                        }
                    },
                    "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."
                        },
                        "robot": {
                            "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
                            "text": {},
                            "description": "Robot model used during data collection."
                        }
                    }
                }
            }
        }
    }
}