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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 x,y,z goal and picker commandpicker<0.5 = open, picker>0.5 = close.",
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"dtype": "float32",
"encoding": "none",
"shape": {
"dimensions": [
"4"
]
}
}
},
"discount": {
"description": "Discount if provided, default to 1.",
"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
"tensor": {
"dtype": "float32",
"encoding": "none",
"shape": {}
}
},
"is_first": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"dtype": "bool",
"encoding": "none",
"shape": {}
}
},
"is_last": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"dtype": "bool",
"encoding": "none",
"shape": {}
}
},
"is_terminal": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"dtype": "bool",
"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": {
"dimensions": [
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]
}
}
},
"language_instruction": {
"description": "Language Instruction.",
"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
"text": {}
},
"observation": {
"featuresDict": {
"features": {
"image": {
"description": "Image observation of cloth.",
"image": {
"dtype": "uint8",
"encodingFormat": "png",
"shape": {
"dimensions": [
"32",
"32",
"3"
]
}
},
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image"
}
}
},
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict"
},
"reward": {
"description": "Reward as a normalized performance metric in [0, 1].0 = no change from initial state. 1 = perfect fold.-ve performance means the cloth is worse off than initial state.",
"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"
} |