The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
_version: string
_FontManager__default_weight: string
default_size: null
defaultFamily: struct<ttf: string, afm: string>
child 0, ttf: string
child 1, afm: string
afmlist: list<item: struct<fname: string, index: int64, name: string, style: string, variant: string, weight: (... 59 chars omitted)
child 0, item: struct<fname: string, index: int64, name: string, style: string, variant: string, weight: string, st (... 47 chars omitted)
child 0, fname: string
child 1, index: int64
child 2, name: string
child 3, style: string
child 4, variant: string
child 5, weight: string
child 6, stretch: string
child 7, size: string
child 8, __class__: string
ttflist: list<item: struct<fname: string, index: int64, name: string, style: string, variant: string, weight: (... 58 chars omitted)
child 0, item: struct<fname: string, index: int64, name: string, style: string, variant: string, weight: int64, str (... 46 chars omitted)
child 0, fname: string
child 1, index: int64
child 2, name: string
child 3, style: string
child 4, variant: string
child 5, weight: int64
child 6, stretch: string
child 7, size: string
child 8, __class__: string
__class__: string
actual_seed: int64
phase: string
updated_at_utc: string
requested_seed: int64
action_count: int64
pid: int64
task: string
failures: int64
mode: string
monotonic: double
to
{'pid': Value('int64'), 'task': Value('string'), 'mode': Value('string'), 'phase': Value('string'), 'updated_at_utc': Value('string'), 'monotonic': Value('float64'), 'requested_seed': Value('int64'), 'actual_seed': Value('int64'), 'action_count': Value('int64'), 'failures': Value('int64')}
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
_version: string
_FontManager__default_weight: string
default_size: null
defaultFamily: struct<ttf: string, afm: string>
child 0, ttf: string
child 1, afm: string
afmlist: list<item: struct<fname: string, index: int64, name: string, style: string, variant: string, weight: (... 59 chars omitted)
child 0, item: struct<fname: string, index: int64, name: string, style: string, variant: string, weight: string, st (... 47 chars omitted)
child 0, fname: string
child 1, index: int64
child 2, name: string
child 3, style: string
child 4, variant: string
child 5, weight: string
child 6, stretch: string
child 7, size: string
child 8, __class__: string
ttflist: list<item: struct<fname: string, index: int64, name: string, style: string, variant: string, weight: (... 58 chars omitted)
child 0, item: struct<fname: string, index: int64, name: string, style: string, variant: string, weight: int64, str (... 46 chars omitted)
child 0, fname: string
child 1, index: int64
child 2, name: string
child 3, style: string
child 4, variant: string
child 5, weight: int64
child 6, stretch: string
child 7, size: string
child 8, __class__: string
__class__: string
actual_seed: int64
phase: string
updated_at_utc: string
requested_seed: int64
action_count: int64
pid: int64
task: string
failures: int64
mode: string
monotonic: double
to
{'pid': Value('int64'), 'task': Value('string'), 'mode': Value('string'), 'phase': Value('string'), 'updated_at_utc': Value('string'), 'monotonic': Value('float64'), 'requested_seed': Value('int64'), 'actual_seed': Value('int64'), 'action_count': Value('int64'), 'failures': Value('int64')}
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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Motus RoboTwin failure episodes
This standalone dataset contains only complete simulator-confirmed unsuccessful episodes from frozen Motus Pi0.5. Successful episodes and aborted/error/probe attempts have no saved frames. No DSRL head, reward model, or optimizer is used.
Each TASK/episode_NNNNNN directory contains metadata.json and losslessly compressed
episode.npz. Load with np.load(path, allow_pickle=False); no repository-specific
Python class is needed. RGB cameras (head_rgb, left_wrist_rgb, right_wrist_rgb) are
uint8 RGB [T+1,H,W,3], including reset and the true final observation. states is
float32 [T+1,14]; actions is float32 [T,14]. ALOHA ordering is left six arm joints,
left normalized gripper, right six joints, right normalized gripper. Native states
use joint drive targets, not measured joint positions. Actions are denormalized
joint-position commands. Native TOPP interpolates internal physics steps; saved
observations correspond to command boundaries, not every physics tick.
rewards is native sparse simulator reward [T], all zero for these failures. terminated and truncated are bool [T], with only the final real transition ending. Every saved failure reaches the native task horizon and is truncated. chunk_starts is int64 [number_of_chunks], indexing the actions at which policy was queried. No chunk padding or post-terminal frames are stored. H32 is predicted, at most 20 commands are executed per query, with five Euler flow steps.
manifest.json records exact model/statistics/source hashes and scene provenance. Known training manifests exist for 22 of 50 tasks; other tasks use deterministic generated scene seeds. Every known held-out seed is excluded, including actual native reset retry seeds. This is a new collection, not a claimed official train split for tasks without a supplied manifest. The Motus pretraining overlap is unknown. Actual and requested scene seeds are both recorded per episode.
status.json and summary.json report counts and incomplete/unsupported tasks. probes/ contains runtime compatibility checks, not dataset episodes. logs/ and _runtime/ contain only this collector's diagnostics. At most the configured attempt limit is tried per task; high-performing tasks can remain below ten failures. Resume with the same command plus --resume. Existing episodes are SHA-256 and schema checked; corruption stops rather than silently overwrites.
- Downloads last month
- 148