The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
author: string
asset_name: string
asset_type: string
asset_license: string
category: string
source_file: string
usd_date_generated: timestamp[s]
qcode: string
rigid_body_count: int64
asset_extents: list<item: double>
child 0, item: double
mass: double
format_version: string
metadata: list<item: struct<name: string, hash: struct<sha256: string>>>
child 0, item: struct<name: string, hash: struct<sha256: string>>
child 0, name: string
child 1, hash: struct<sha256: string>
child 0, sha256: string
package_id: string
license: string
content_hash: struct<sha256: string>
child 0, sha256: string
package_hash: struct<sha256: string>
child 0, sha256: string
to
{'format_version': Value('string'), 'package_id': Value('string'), 'license': Value('string'), 'metadata': List({'name': Value('string'), 'hash': {'sha256': Value('string')}}), 'content_hash': {'sha256': Value('string')}, 'package_hash': {'sha256': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
author: string
asset_name: string
asset_type: string
asset_license: string
category: string
source_file: string
usd_date_generated: timestamp[s]
qcode: string
rigid_body_count: int64
asset_extents: list<item: double>
child 0, item: double
mass: double
format_version: string
metadata: list<item: struct<name: string, hash: struct<sha256: string>>>
child 0, item: struct<name: string, hash: struct<sha256: string>>
child 0, name: string
child 1, hash: struct<sha256: string>
child 0, sha256: string
package_id: string
license: string
content_hash: struct<sha256: string>
child 0, sha256: string
package_hash: struct<sha256: string>
child 0, sha256: string
to
{'format_version': Value('string'), 'package_id': Value('string'), 'license': Value('string'), 'metadata': List({'name': Value('string'), 'hash': {'sha256': Value('string')}}), 'content_hash': {'sha256': Value('string')}, 'package_hash': {'sha256': Value('string')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Welcome to QUIKTECH SimReady Assets
QUIKTECH SimReady Assets is a collection of OpenUSD assets for chemical laboratories, including lab workbenches, benchtop instruments, and reagent containers.
The assets can be used in NVIDIA Isaac Sim for laboratory automation, robotic manipulation, and synthetic data generation. (More assets to come.)
Browse the latest assets · QUIKTECH
Illustrative scene. See the asset catalog for downloadable packages.
What's included
The collection includes lab workbenches, benchtop instruments, reagent containers, and other labware. For each selected package, the table links to its manifest, SimReady Validator report, and Isaac Sim benchmark results at the same repository revision.
| Asset | Browse package | Versioned manifest | SimReady validation | Isaac Sim benchmark |
|---|---|---|---|---|
| Laboratory bench | qt_lab_000001 |
Package definition | Validator report | Benchmark report |
| Ultrasonic cleaner | qt_lab_000004 |
Package definition | Validator report | Benchmark report |
| Analytical balance | qt_lab_000007 |
Package definition | Validator report | Benchmark report |
| Laboratory incubator | qt_lab_000010 |
Package definition | Validator report | Benchmark report |
| Laboratory bench with sink | qt_lab_000014 |
Package definition | Validator report | Benchmark report |
Simulation examples
Robotic workcell for automated sample handling.
Get started
Download the complete asset folder, keeping its materials and textures in their original relative locations. Open the entry USD under simready_usd/ in Isaac Sim, or reference it into an existing scene. Use a fixed repository revision to reproduce a scene or experiment.
Technical validation
- Specification: Prepared by QUIKTECH using the NVIDIA SimReady Central submission requirements as the reference for asset and package preparation.
- Validation: Checked with NVIDIA's SimReady Validator against the SimReady Foundation Robotics-Prop 4.0.0 profile.
- Benchmark: Tested by QUIKTECH in Isaac Sim with NVIDIA SimReady Benchmark. See each package's
.metadata/for results and runtime coverage.
License and attribution
This collection is released under the Creative Commons Attribution 4.0 International license (CC BY 4.0).
You may use, modify, and redistribute the assets, including for commercial purposes, subject to the license terms. Provide appropriate credit to QUIKTECH, link to the license, and indicate any modifications. See the accompanying notices for third-party terms.
Community and feedback
We welcome you to join the QUIKTECH Community to discuss the assets, share feedback, and suggest improvements or additions to the collection.
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