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Upload robo_net/features.json with huggingface_hub

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  1. robo_net/features.json +175 -0
robo_net/features.json ADDED
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+ {
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+ "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
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+ "featuresDict": {
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+ "features": {
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+ "steps": {
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+ "pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
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+ "sequence": {
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+ "feature": {
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+ "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
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+ "featuresDict": {
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+ "features": {
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+ "observation": {
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+ "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
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+ "featuresDict": {
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+ "features": {
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+ "image": {
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+ "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
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+ "image": {
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+ "shape": {
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+ "dimensions": [
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+ "240",
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+ "320",
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+ "3"
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+ ]
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+ },
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+ "dtype": "uint8",
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+ "encodingFormat": "jpeg"
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+ },
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+ "description": "Main camera RGB observation."
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+ },
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+ "image1": {
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+ "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
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+ "image": {
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+ "shape": {
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+ "dimensions": [
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+ "240",
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+ "320",
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+ "3"
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+ ]
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+ },
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+ "dtype": "uint8",
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+ "encodingFormat": "jpeg"
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+ },
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+ "description": "Main camera RGB observation."
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+ },
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+ "image2": {
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+ "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
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+ "image": {
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+ "shape": {
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+ "dimensions": [
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+ "240",
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+ "320",
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+ "3"
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+ ]
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+ },
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+ "dtype": "uint8",
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+ "encodingFormat": "jpeg"
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+ },
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+ "description": "Main camera RGB observation."
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+ },
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+ "state": {
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+ "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
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+ "tensor": {
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+ "shape": {
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+ "dimensions": [
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+ "5"
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+ ]
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+ },
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+ "dtype": "float32",
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+ "encoding": "none"
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+ },
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+ "description": "Robot state, consists of eef position, wristorientation, and gripper state[e_x, e_y, e_z, theta, gripper]."
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+ }
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+ }
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+ }
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+ },
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+ "reward": {
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+ "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
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+ "tensor": {
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+ "shape": {},
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+ "dtype": "float32",
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+ "encoding": "none"
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+ },
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+ "description": "Reward if provided, 0 for all random data."
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+ },
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+ "is_first": {
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+ "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
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+ "tensor": {
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+ "shape": {},
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+ "dtype": "bool",
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+ "encoding": "none"
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+ }
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+ },
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+ "is_terminal": {
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+ "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
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+ "tensor": {
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+ "shape": {},
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+ "dtype": "bool",
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+ "encoding": "none"
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+ }
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+ },
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+ "action": {
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+ "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
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+ "tensor": {
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+ "shape": {
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+ "dimensions": [
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+ "5"
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+ ]
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+ },
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+ "dtype": "float32",
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+ "encoding": "none"
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+ },
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+ "description": "Robot action, consists of [3x eef delta, 1x wrist rotation, 1x gripper width target]."
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+ },
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+ "discount": {
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+ "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
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+ "tensor": {
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+ "shape": {},
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+ "dtype": "float32",
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+ "encoding": "none"
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+ },
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+ "description": "Discount if provided, default to 1."
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+ },
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+ "language_embedding": {
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+ "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
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+ "tensor": {
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+ "shape": {
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+ "dimensions": [
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+ "512"
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+ ]
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+ },
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+ "dtype": "float32",
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+ "encoding": "none"
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+ },
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+ "description": "Kona language embedding. See https://tfhub.dev/google/universal-sentence-encoder-large/5"
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+ },
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+ "is_last": {
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+ "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
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+ "tensor": {
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+ "shape": {},
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+ "dtype": "bool",
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+ "encoding": "none"
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+ }
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+ },
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+ "language_instruction": {
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+ "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
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+ "text": {},
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+ "description": "Language Instruction."
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+ }
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+ }
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+ }
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+ },
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+ "length": "-1"
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+ }
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+ },
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+ "episode_metadata": {
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+ "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
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+ "featuresDict": {
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+ "features": {
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+ "file_path": {
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+ "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
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+ "text": {},
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+ "description": "Path to the original data file."
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+ },
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+ "robot": {
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+ "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
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+ "text": {},
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+ "description": "Robot model used during data collection."
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+ }
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+ }
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+ }
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+ }
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+ }
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+ }
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+ }