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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
user_query: string
theme: string
scene_description: string
task_setting: string
terrain_hint: string
verifier_type: string
query_tag: string
query_category: string
query_type: string
t4_distractor_type: string
t4_expected_clarification: string
verification_criteria: list<item: string>
  child 0, item: string
to
{'user_query': Value('string'), 'theme': Value('string'), 'scene_description': Value('string'), 'task_setting': Value('string'), 'terrain_hint': Value('string'), 'verifier_type': Value('string'), 'query_tag': Value('string'), 'query_category': Value('string'), 'query_type': Value('string'), 'verification_criteria': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 343, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              user_query: string
              theme: string
              scene_description: string
              task_setting: string
              terrain_hint: string
              verifier_type: string
              query_tag: string
              query_category: string
              query_type: string
              t4_distractor_type: string
              t4_expected_clarification: string
              verification_criteria: list<item: string>
                child 0, item: string
              to
              {'user_query': Value('string'), 'theme': Value('string'), 'scene_description': Value('string'), 'task_setting': Value('string'), 'terrain_hint': Value('string'), 'verifier_type': Value('string'), 'query_tag': Value('string'), 'query_category': Value('string'), 'query_type': Value('string'), 'verification_criteria': List(Value('string'))}
              because column names don't match

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If you use the VibeWorlding-Gym framework, VWE-Bench dataset, or substantially derived materials from this project in your research, please cite the following paper:

@article{ning2026vibeworlding,
title={VibeWorlding: Can Multimodal Agents Construct 3D Open Worlds End-to-End?},
author={Ning, Yansong and Ye, Jingwen and Wu, Zhongkai and Sun, Yang and Zhu, Yiqin and Li, Xingyi and Zhang, Weidong and Liu, Hao},
journal={arXiv preprint arXiv:2608.15265},
year={2026}
}

The VWE-Bench dataset is released under the Apache License 2.0 as indicated on its Hugging Face dataset card.

This repository may include or depend on third-party software, models, datasets, 3D assets, or other materials that are subject to their own licenses and terms. Such third-party materials are not relicensed by this NOTICE or by the Apache License applicable to the original VibeWorlding code. Users are responsible for complying with the applicable licenses and terms for such third-party materials.

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