Dataset Viewer
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
source_unchanged_since_full_checks: bool
roboenv_passed: int64
roboenv_skipped: int64
rlebench_passed: int64
rlebench_skipped: int64
source_differences: struct<RoboEnv: list<item: null>, RLE-Bench-inhouse: list<item: null>>
child 0, RoboEnv: list<item: null>
child 0, item: null
child 1, RLE-Bench-inhouse: list<item: null>
child 0, item: null
roboenv: struct<tests: struct<passed: int64, skipped: int64>, lint: bool, privacy: bool, wheel_imports: bool, (... 99 chars omitted)
child 0, tests: struct<passed: int64, skipped: int64>
child 0, passed: int64
child 1, skipped: int64
child 1, lint: bool
child 2, privacy: bool
child 3, wheel_imports: bool
child 4, note: string
child 5, post_suite_replay_input_tests: struct<passed: int64, lint: string, purpose: string>
child 0, passed: int64
child 1, lint: string
child 2, purpose: string
rlebench: struct<tests: struct<passed: int64, skipped: int64>, lint: bool, companions: string, post_suite_imag (... 97 chars omitted)
child 0, tests: struct<passed: int64, skipped: int64>
child 0, passed: int64
child 1, skipped: int64
child 1, lint: bool
child 2, companions: string
child 3, post_suite_image_audit_tests: struct<passed: int64, skipped: int64, providers: list<item: string>, log: string>
child 0, passed: int64
child 1, skipped: int64
child 2, providers: list<item: string>
child 0, item: string
child 3, log: string
schema: string
to
{'schema': Value('string'), 'roboenv': {'tests': {'passed': Value('int64'), 'skipped': Value('int64')}, 'lint': Value('bool'), 'privacy': Value('bool'), 'wheel_imports': Value('bool'), 'note': Value('string'), 'post_suite_replay_input_tests': {'passed': Value('int64'), 'lint': Value('string'), 'purpose': Value('string')}}, 'rlebench': {'tests': {'passed': Value('int64'), 'skipped': Value('int64')}, 'lint': Value('bool'), 'companions': Value('string'), 'post_suite_image_audit_tests': {'passed': Value('int64'), 'skipped': Value('int64'), 'providers': List(Value('string')), 'log': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
source_unchanged_since_full_checks: bool
roboenv_passed: int64
roboenv_skipped: int64
rlebench_passed: int64
rlebench_skipped: int64
source_differences: struct<RoboEnv: list<item: null>, RLE-Bench-inhouse: list<item: null>>
child 0, RoboEnv: list<item: null>
child 0, item: null
child 1, RLE-Bench-inhouse: list<item: null>
child 0, item: null
roboenv: struct<tests: struct<passed: int64, skipped: int64>, lint: bool, privacy: bool, wheel_imports: bool, (... 99 chars omitted)
child 0, tests: struct<passed: int64, skipped: int64>
child 0, passed: int64
child 1, skipped: int64
child 1, lint: bool
child 2, privacy: bool
child 3, wheel_imports: bool
child 4, note: string
child 5, post_suite_replay_input_tests: struct<passed: int64, lint: string, purpose: string>
child 0, passed: int64
child 1, lint: string
child 2, purpose: string
rlebench: struct<tests: struct<passed: int64, skipped: int64>, lint: bool, companions: string, post_suite_imag (... 97 chars omitted)
child 0, tests: struct<passed: int64, skipped: int64>
child 0, passed: int64
child 1, skipped: int64
child 1, lint: bool
child 2, companions: string
child 3, post_suite_image_audit_tests: struct<passed: int64, skipped: int64, providers: list<item: string>, log: string>
child 0, passed: int64
child 1, skipped: int64
child 2, providers: list<item: string>
child 0, item: string
child 3, log: string
schema: string
to
{'schema': Value('string'), 'roboenv': {'tests': {'passed': Value('int64'), 'skipped': Value('int64')}, 'lint': Value('bool'), 'privacy': Value('bool'), 'wheel_imports': Value('bool'), 'note': Value('string'), 'post_suite_replay_input_tests': {'passed': Value('int64'), 'lint': Value('string'), 'purpose': Value('string')}}, 'rlebench': {'tests': {'passed': Value('int64'), 'skipped': Value('int64')}, 'lint': Value('bool'), 'companions': Value('string'), 'post_suite_image_audit_tests': {'passed': Value('int64'), 'skipped': Value('int64'), 'providers': List(Value('string')), 'log': 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.
Booster T2 demo
Household task videos with Kinex and GPT-6 Astra: 12 realtime tasks and one separate historical stepped attempt. Each attempt includes its instruction, simulator outcome, token usage and public agent session.
The overview videos are original recordings. Head and hand videos were rendered by replaying the original commands in the original simulator environments; they are additional views of those attempts, not new model runs. Replay checks and media provenance accompany the videos. Original evidence is retained.
Input tokens include cached input. The upright box-carry attempt has one request with unreported usage, so its totals are lower bounds and its cache hit ratio covers known usage.
The demo combines overview, head and hand views into a synchronized video, with the hands shown larger. Original separate recordings are retained. Per-task API costs are token-based equivalents at the linked standard GPT-6 Astra rates, not measured subscription charges. A lower bound marks missing request usage.
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