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  1. .gitattributes +16 -0
  2. mikasa_dataset/1.0.0/dataset_info.json +36 -0
  3. mikasa_dataset/1.0.0/features.json +145 -0
  4. mikasa_dataset/1.0.0/mikasa_dataset-train.tfrecord-00000-of-00016 +3 -0
  5. mikasa_dataset/1.0.0/mikasa_dataset-train.tfrecord-00001-of-00016 +3 -0
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  19. mikasa_dataset/1.0.0/mikasa_dataset-train.tfrecord-00015-of-00016 +3 -0
.gitattributes CHANGED
@@ -57,3 +57,19 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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+ {
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+ "citation": "// TODO(example_dataset): BibTeX citation",
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+ "description": "TODO(example_dataset): Markdown description of your dataset.\nDescription is **formatted** as markdown.\n\nIt should also contain any processing which has been applied (if any),\n(e.g. corrupted example skipped, images cropped,...):",
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+ }
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+ "steps": {
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+ "pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
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+ "feature": {
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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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+ "7"
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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, for control type: pd_ee_delta_pose"
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+ },
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+ "is_terminal": {
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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": "bool",
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+ "encoding": "none"
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+ },
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+ "description": "True on last step of the episode if it is a terminal step, True for demos."
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+ },
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+ "is_last": {
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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": "bool",
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+ "encoding": "none"
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+ },
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+ "description": "True on last step of the episode."
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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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+ "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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+ "wrist_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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+ "128",
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+ "128",
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+ "3"
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+ ]
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+ },
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+ "dtype": "uint8",
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+ "encodingFormat": "png"
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+ },
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+ "description": "Hand camera RGB observation."
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+ },
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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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+ "128",
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+ "3"
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+ },
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+ "dtype": "uint8",
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+ "encodingFormat": "png"
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+ },
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+ "description": "Base camera RGB observation."
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+ },
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+ "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
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+ },
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+ }
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+ }
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+ }
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+ },
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+ "is_first": {
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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": "bool",
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+ "encoding": "none"
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+ },
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+ "description": "True on first step of the episode."
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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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+ "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, 1 on final step for demos."
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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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+ "episode_metadata": {
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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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+ }
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+ }
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+ }
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+ }
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+ }
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+ }
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