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/packaged_modules/json/json.py", line 291, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
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/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 306, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 68, 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.
UrbanVerse SimReady Preview
209 street-level assets for sidewalk robot navigation, converted from the UrbanVerse asset library (UrbanVerse-100K, UCLA VAIL) to OpenUSD in the SimReady package layout. This is a representative preview for review by the NVIDIA SimReady team ahead of a SimReady Central submission.
Validation
- Tool:
simready-validate 2026.8.0 - Profile: Robotics-Prop 4.0.0
- Result: 209 / 209 pass (no blocking failures)
- Per asset:
<asset>/.metadata/<asset>_validation.json - All assets:
reports/validation_report.json, summary tablereports/assets.csv
Not yet included (generated at submission time): benchmark results
(.metadata/<asset>_benchmark.json), com.nvidia.simready.packaging.json, the bill of
materials and the packaging conformance file.
Layout
<asset>/
├── .metadata/<asset>_validation.json
└── usd/
├── <asset>.usd # metres, Z-up, physics colliders, SimReady_Metadata
├── .thumbs/256x256/<asset>.usd.png
└── textures/
Each root USD carries SimReady_Metadata (asset name, type, Wikidata Q-code, extents,
mass, license, author and original source).
Classes
| Class | Assets |
|---|---|
| bench | 23 |
| lamppost | 19 |
| bollard | 17 |
| fire hydrant | 16 |
| dog | 15 |
| dumpster | 14 |
| bicycle | 12 |
| hatchback car | 12 |
| guard stone | 11 |
| caution sign | 10 |
| advertising board | 9 |
| bus | 9 |
| cat | 7 |
| mailbox | 7 |
| shopping cart | 7 |
| bus shelter | 4 |
| potted plant | 4 |
| atm | 3 |
| garbage bag | 3 |
| trash bin | 3 |
| discarded can | 2 |
| scooter | 2 |
License and attribution
All assets are CC-BY-4.0. Original creators and source links are listed per asset in
reports/assets.csv and in each USD's SimReady_Metadata.
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