Shiki42/up-vla-action-chunk-checkpoints
Robotics • Updated
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
UP-VLA Precision Recovery 15K
This research dataset contains 15,000 physically validated precision-recovery samples in 150 WebDataset shards.
Each sample contains a wrist RGB image, metric depth, camera-frame XYZRGB point cloud, and synchronized dual action trajectories:
- relative end-effector SE(3) in the current tool frame;
- robot joint positions on the same timestamps.
Perturbations are 5 mm to 5 cm and 5 to 30 degrees. Samples include deterministic randomization receipts for background textures, clutter, lighting, RGB photometrics, depth noise, and depth dropout.
Coverage
- Unique object models: 111
- Source families: {"rlbench": 5220, "robotwin_generic": 9780}
- Task categories: {"edge_grasp": 1617, "insertion_alignment": 5200, "precision_grasp": 8183}
- Domain-randomized samples: 15000
- Background signatures: 5291
- Scene signatures: 5293
- Lighting signatures: 14659
- Sensor signatures: 14573
- All source experts successful: yes
- All recovery tasks successful: yes
Format
Use manifest.jsonl to map sample keys to shards/shard-*.tar. Each key has metadata.json, wrist_rgb.png, wrist_depth.npy, wrist_pointcloud.npy, and action_chunk.npz members.
License and source notice
RoboTwin-derived samples use the MIT-licensed RoboTwin software and assets subject to their own provenance. RLBench-derived samples are for non-commercial internal or academic research under the RLBench licence from Imperial College London. Publications or presentations using those samples must identify RLBench as their source and comply with the upstream licence. This combined dataset is therefore distributed for non-commercial research use only.
The dataset contains rendered observations and trajectories, not copies of simulator source code.
- Downloads last month
- 54
Models trained or fine-tuned on Shiki42/up-vla-precision-recovery-15k