The dataset viewer is not available for this subset.
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 83, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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 66, 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.
NavLock-HY Dataset
NavLock-HY is a fixed-infrastructure multimodal dataset for navigation-lock world modeling. The data were collected at Huaiyin No. 3 Navigation Lock in Huai'an, Jiangsu Province, China. The dataset follows a nuScenes-style data layout and adds labels for lock operation, including gate state, water state, water levels, berth layout, vessel motion, operation actions, and future-state targets.
This dataset repository is paired with the paper code repository:
https://github.com/serendipitylxd/NavLock-World
Dataset Scale
The current release package is about 86 GB. The samples/ directory is the
main component and contains 10,250 synchronized frames per sensor folder.
| Component | Approx. size |
|---|---|
| Multi-sensor samples | 84 GB |
| nuScenes-style metadata | 116 MB |
| 2D annotations | 137 MB |
| Structured sequence files | 413 MB |
| Info files | 210 MB |
The sample files include eight fixed camera streams and LiDAR point-cloud data:
| Sensor folder | Files |
|---|---|
CAM_1--CAM_8 |
82,000 PNG images |
LIDAR_TOP |
10,250 binary point-cloud files |
In the paper setting, the physical sensing system contains eight fixed cameras and four fixed LiDAR units. The public package uses a nuScenes-style interface; when multiple LiDAR units are fused or represented through one release channel, the release manifest describes the mapping from physical sensors to stored sample channels.
Expected Layout
NavLock-HY/
├── v1.0-trainval/
├── samples/
│ ├── CAM_1/
│ ├── CAM_2/
│ ├── ...
│ ├── CAM_8/
│ └── LIDAR_TOP/
├── sweeps/
├── splits/
├── 2d_annotations/
├── infos/
└── navlock_sequences/
Labels
NavLock-HY includes standard perception labels and lock-specific state labels:
- calibrated multi-sensor samples;
- 2D object annotations for camera perception;
- 3D vessel annotations and point-cloud geometry;
- upper-gate and lower-gate state;
- chamber, upstream, and downstream water levels;
- water-transition phase;
- ideal berth layout and berth occupancy;
- vessel intention and vessel motion flow;
- operation-action validity and invalid-action reasons;
- observed operation;
- action-conditioned future gate, water, and vessel-rollout targets.
Splits
Frames from one scene are assigned to only one split.
train: 459 scenes, 8463 frames
val: 50 scenes, 919 frames
test: 50 scenes, 868 frames
License and Access
The dataset license and access policy will be finalized before the public release. Until then, this repository should be treated as a controlled academic preview for paper review and reproducibility preparation.
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