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{
    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
    "featuresDict": {
        "features": {
            "steps": {
                "pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
                "sequence": {
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                        "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
                        "featuresDict": {
                            "features": {
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                                    "tensor": {
                                        "shape": {},
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                                        "encoding": "none"
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                                },
                                "observation": {
                                    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
                                    "featuresDict": {
                                        "features": {
                                            "effector_target_translation": {
                                                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                                "tensor": {
                                                    "shape": {
                                                        "dimensions": [
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                                                        ]
                                                    },
                                                    "dtype": "float32",
                                                    "encoding": "none"
                                                },
                                                "description": "The target location for the end effector as a 2D cartesian setpoint."
                                            },
                                            "instruction": {
                                                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                                "tensor": {
                                                    "shape": {
                                                        "dimensions": [
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                                                        ]
                                                    },
                                                    "dtype": "int32",
                                                    "encoding": "none"
                                                },
                                                "description": "A UTF-8 encoded string as bytes."
                                            },
                                            "rgb": {
                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
                                                "image": {
                                                    "shape": {
                                                        "dimensions": [
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                                                            "640",
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                                                        ]
                                                    },
                                                    "dtype": "uint8",
                                                    "encodingFormat": "jpeg"
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                                                "description": "An RGB image of the scene."
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                                            "effector_translation": {
                                                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
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                                                            "2"
                                                        ]
                                                    },
                                                    "dtype": "float32",
                                                    "encoding": "none"
                                                },
                                                "description": "The current end effector translation as a 2D cartesian coordinate."
                                            }
                                        }
                                    }
                                },
                                "is_terminal": {
                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                    "tensor": {
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                                "reward": {
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                                },
                                "is_last": {
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                                    "tensor": {
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                                "action": {
                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
                                    "tensor": {
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                                            "dimensions": [
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                                        },
                                        "dtype": "float32",
                                        "encoding": "none"
                                    },
                                    "description": "An action representing a 2D delta cartesian setpoint for the robot."
                                }
                            }
                        }
                    },
                    "length": "-1"
                }
            }
        }
    }
}