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Add modified LIBERO RLDS datasets (no no-ops)
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- .gitattributes +1 -0
- libero_10_no_noops/1.0.0/dataset_info.json +52 -0
- libero_10_no_noops/1.0.0/features.json +158 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00000-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00001-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00002-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00003-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00004-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00005-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00006-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00007-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00008-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00009-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00010-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00011-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00012-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00013-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00014-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00015-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00016-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00017-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00018-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00019-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00020-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00021-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00022-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00023-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00024-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00025-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00026-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00027-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00028-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00029-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00030-of-00032 +3 -0
- libero_10_no_noops/1.0.0/liber_o10-train.tfrecord-00031-of-00032 +3 -0
- libero_goal_no_noops/1.0.0/dataset_info.json +36 -0
- libero_goal_no_noops/1.0.0/features.json +158 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00000-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00001-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00002-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00003-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00004-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00005-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00006-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00007-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00008-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00009-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00010-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00011-of-00016 +3 -0
- libero_goal_no_noops/1.0.0/libero_goal-train.tfrecord-00012-of-00016 +3 -0
.gitattributes
CHANGED
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@@ -56,3 +56,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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*.tfrecord* filter=lfs diff=lfs merge=lfs -text
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libero_10_no_noops/1.0.0/dataset_info.json
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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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"fileFormat": "tfrecord",
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"moduleName": "LIBERO_10.LIBERO_10_dataset_builder",
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"name": "liber_o10",
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"releaseNotes": {
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"1.0.0": "Initial release."
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},
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"splits": [
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{
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"filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
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"name": "train",
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"numBytes": "3656799026",
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"shardLengths": [
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"12",
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"12",
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"12",
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"11",
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"12",
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"12",
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"11",
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"12",
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"12",
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"12",
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"12",
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"12",
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"11",
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"12",
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"12",
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"12"
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]
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}
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],
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"version": "1.0.0"
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}
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libero_10_no_noops/1.0.0/features.json
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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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"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 EEF action."
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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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},
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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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"256",
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"256",
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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": "Wrist 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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"dimensions": [
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"256",
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"256",
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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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"8"
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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 EEF state (6D pose, 2D gripper)."
|
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},
|
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"joint_state": {
|
| 96 |
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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 joint angles."
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}
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}
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| 109 |
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}
|
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},
|
| 111 |
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"is_first": {
|
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"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
|
| 113 |
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"tensor": {
|
| 114 |
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"shape": {},
|
| 115 |
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"dtype": "bool",
|
| 116 |
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"encoding": "none"
|
| 117 |
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},
|
| 118 |
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"description": "True on first step of the episode."
|
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},
|
| 120 |
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"discount": {
|
| 121 |
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"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
|
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"tensor": {
|
| 123 |
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"shape": {},
|
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"dtype": "float32",
|
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"encoding": "none"
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},
|
| 127 |
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"description": "Discount if provided, default to 1."
|
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},
|
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"reward": {
|
| 130 |
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"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
|
| 131 |
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"tensor": {
|
| 132 |
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"shape": {},
|
| 133 |
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"dtype": "float32",
|
| 134 |
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"encoding": "none"
|
| 135 |
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},
|
| 136 |
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"description": "Reward if provided, 1 on final step for demos."
|
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}
|
| 138 |
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}
|
| 139 |
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}
|
| 140 |
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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": {
|
| 147 |
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"features": {
|
| 148 |
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"file_path": {
|
| 149 |
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"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
|
| 150 |
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"text": {},
|
| 151 |
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"description": "Path to the original data file."
|
| 152 |
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}
|
| 153 |
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}
|
| 154 |
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}
|
| 155 |
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}
|
| 156 |
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ADDED
|
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|
|
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| 1 |
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{
|
| 2 |
+
"citation": "// TODO(example_dataset): BibTeX citation",
|
| 3 |
+
"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,...):",
|
| 4 |
+
"fileFormat": "tfrecord",
|
| 5 |
+
"moduleName": "LIBERO_Goal.LIBERO_Goal_dataset_builder",
|
| 6 |
+
"name": "libero_goal",
|
| 7 |
+
"releaseNotes": {
|
| 8 |
+
"1.0.0": "Initial release."
|
| 9 |
+
},
|
| 10 |
+
"splits": [
|
| 11 |
+
{
|
| 12 |
+
"filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
|
| 13 |
+
"name": "train",
|
| 14 |
+
"numBytes": "1841891826",
|
| 15 |
+
"shardLengths": [
|
| 16 |
+
"27",
|
| 17 |
+
"27",
|
| 18 |
+
"26",
|
| 19 |
+
"27",
|
| 20 |
+
"27",
|
| 21 |
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"26",
|
| 22 |
+
"27",
|
| 23 |
+
"27",
|
| 24 |
+
"27",
|
| 25 |
+
"27",
|
| 26 |
+
"26",
|
| 27 |
+
"27",
|
| 28 |
+
"27",
|
| 29 |
+
"26",
|
| 30 |
+
"27",
|
| 31 |
+
"27"
|
| 32 |
+
]
|
| 33 |
+
}
|
| 34 |
+
],
|
| 35 |
+
"version": "1.0.0"
|
| 36 |
+
}
|
libero_goal_no_noops/1.0.0/features.json
ADDED
|
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|
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| 4 |
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| 5 |
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| 9 |
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| 11 |
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| 13 |
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| 26 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 91 |
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| 114 |
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| 115 |
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"dtype": "bool",
|
| 116 |
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|
| 117 |
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| 118 |
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"description": "True on first step of the episode."
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| 119 |
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| 120 |
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| 121 |
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| 124 |
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| 127 |
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| 129 |
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| 130 |
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| 136 |
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| 144 |
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| 154 |
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| 155 |
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