{
    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
    "featuresDict": {
        "features": {
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                "pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
                "sequence": {
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                        "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
                        "featuresDict": {
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                                        "encoding": "none"
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                                "is_terminal": {
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                                        "shape": {},
                                        "dtype": "bool",
                                        "encoding": "none"
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                                        "dtype": "bool",
                                        "encoding": "none"
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                                },
                                "language_instruction_nouns": {
                                    "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
                                    "text": {},
                                    "description": "Language Instruction Nouns."
                                },
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                                    "featuresDict": {
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                                                    "dtype": "uint8",
                                                    "encodingFormat": "png"
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                                                    "dtype": "float32",
                                                    "encoding": "none"
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                                                "description": "Robot EEF state (6D pose, 2D gripper)."
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                                                            "256",
                                                            "1"
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                                                    },
                                                    "dtype": "uint8",
                                                    "encodingFormat": "png"
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                                                "description": "Wrist camera segmentation observation."
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                                                            "256",
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                                                    },
                                                    "dtype": "uint8",
                                                    "encodingFormat": "jpeg"
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                                                "description": "Main camera depth observation."
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                                        }
                                    }
                                },
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                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
                                    "tensor": {
                                        "shape": {},
                                        "dtype": "bool",
                                        "encoding": "none"
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                                    "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."
                        }
                    }
                }
            }
        }
    }
}