stanford_robocook_raw / features.json
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{
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
"featuresDict": {
"features": {
"episode_metadata": {
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
"featuresDict": {
"features": {
"extrinsics_4": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"4",
"4"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Camera 4 Extrinsic Matrix."
},
"extrinsics_2": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"4",
"4"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Camera 2 Extrinsic Matrix."
},
"extrinsics_3": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"4",
"4"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Camera 3 Extrinsic Matrix."
},
"extrinsics_1": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"4",
"4"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Camera 1 Extrinsic Matrix."
},
"file_path": {
"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
"text": {},
"description": "Path to the original data file."
}
}
}
},
"steps": {
"pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
"sequence": {
"feature": {
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
"featuresDict": {
"features": {
"reward": {
"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
"tensor": {
"shape": {},
"dtype": "float32",
"encoding": "none"
},
"description": "Reward if provided, 1 on final step for demos."
},
"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."
},
"observation": {
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
"featuresDict": {
"features": {
"depth_2": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"256",
"256"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Camera 2 Depth observation."
},
"image_1": {
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
"image": {
"shape": {
"dimensions": [
"256",
"256",
"3"
]
},
"dtype": "uint8",
"encodingFormat": "jpeg"
},
"description": "Camera 1 RGB observation."
},
"depth_1": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"256",
"256"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Camera 1 Depth observation."
},
"state": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"7"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Robot state, consists of [3x robot end-effector position, 3x robot end-effector euler angles, 1x gripper position]."
},
"depth_4": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"256",
"256"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Camera 4 Depth observation."
},
"image_2": {
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
"image": {
"shape": {
"dimensions": [
"256",
"256",
"3"
]
},
"dtype": "uint8",
"encodingFormat": "jpeg"
},
"description": "Camera 2 RGB observation."
},
"image_4": {
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
"image": {
"shape": {
"dimensions": [
"256",
"256",
"3"
]
},
"dtype": "uint8",
"encodingFormat": "jpeg"
},
"description": "Camera 4 RGB observation."
},
"depth_3": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"256",
"256"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Camera 3 Depth observation."
},
"image_3": {
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
"image": {
"shape": {
"dimensions": [
"256",
"256",
"3"
]
},
"dtype": "uint8",
"encodingFormat": "jpeg"
},
"description": "Camera 3 RGB observation."
}
}
}
},
"is_first": {
"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": [
"7"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Robot action, consists of [3x robot end-effector velocities, 3x robot end-effector angular velocities, 1x gripper velocity]."
},
"is_terminal": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {},
"dtype": "bool",
"encoding": "none"
}
},
"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"
}
}
}
},
"length": "-1"
}
}
}
}
}