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"featuresDict": {
"features": {
"episode_metadata": {
"featuresDict": {
"features": {
"file_path": {
"description": "Path to the original data file.",
"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
"text": {}
}
}
},
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict"
},
"steps": {
"pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
"sequence": {
"feature": {
"featuresDict": {
"features": {
"action": {
"description": "Robot action, consists of [3x robot EEF position, 3x robot EEF orientation yaw/pitch/roll calculated with scipy Rotation.as_euler(=\"zxy\") Class].",
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
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"encoding": "none",
"shape": {
"dimensions": [
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]
}
}
},
"discount": {
"description": "Discount if provided, default to 1.",
"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
"tensor": {
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"encoding": "none",
"shape": {}
}
},
"is_first": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
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"encoding": "none",
"shape": {}
}
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"is_last": {
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"tensor": {
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"is_terminal": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
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"encoding": "none",
"shape": {}
}
},
"language_embedding": {
"description": "Kona language embedding. See https://tfhub.dev/google/universal-sentence-encoder-large/5",
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"dtype": "float32",
"encoding": "none",
"shape": {
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}
}
},
"language_instruction": {
"description": "Pour into the mug.",
"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
"text": {}
},
"observation": {
"featuresDict": {
"features": {
"image": {
"description": "Main camera RGB observation.",
"image": {
"dtype": "uint8",
"encodingFormat": "png",
"shape": {
"dimensions": [
"360",
"640",
"3"
]
}
},
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image"
},
"state": {
"description": "Robot state, consists of [3x robot EEF position, 3x robot EEF orientation yaw/pitch/roll calculated with scipy Rotation.as_euler(=\"zxy\") Class].",
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
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"encoding": "none",
"shape": {
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]
}
}
}
}
},
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict"
},
"reward": {
"description": "Reward if provided, 1 on final step for demos.",
"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
"tensor": {
"dtype": "float32",
"encoding": "none",
"shape": {}
}
}
}
},
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict"
},
"length": "-1"
}
}
}
},
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict"
} |