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
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
chunks_size: int64
data_files_size_in_mb: int64
video_files_size_in_mb: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>, observati (... 1325 chars omitted)
child 0, action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 1, observation.state: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 2, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 4, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: st
...
child 7, has_audio: bool
shoulder_pan: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
wrist_flex: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
wrist_roll: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
elbow_flex: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
shoulder_lift: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
gripper: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
to
{'shoulder_pan': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'shoulder_lift': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'elbow_flex': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'wrist_flex': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'wrist_roll': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'gripper': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
chunks_size: int64
data_files_size_in_mb: int64
video_files_size_in_mb: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>, observati (... 1325 chars omitted)
child 0, action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 1, observation.state: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 2, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 4, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: st
...
child 7, has_audio: bool
shoulder_pan: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
wrist_flex: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
wrist_roll: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
elbow_flex: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
shoulder_lift: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
gripper: struct<id: int64, drive_mode: int64, homing_offset: int64, range_min: int64, range_max: int64>
child 0, id: int64
child 1, drive_mode: int64
child 2, homing_offset: int64
child 3, range_min: int64
child 4, range_max: int64
to
{'shoulder_pan': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'shoulder_lift': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'elbow_flex': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'wrist_flex': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'wrist_roll': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': Value('int64')}, 'gripper': {'id': Value('int64'), 'drive_mode': Value('int64'), 'homing_offset': Value('int64'), 'range_min': Value('int64'), 'range_max': 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.
sortletters_parallel_121
STOP — rejected for behavior training. This derived retimed dataset may be used only for loader, mask, and runtime-throughput engineering. It must not support claims about a valid real-robot policy, sortletters behavior quality, or real-robot success rate.
警告：该数据已被行为训练资格门拒绝。 仅允许用于 loader、mask 和运行时吞吐工程验证； 不得用于声称有效真机策略或真机成功率。
For immutable source revision 76fd84d2f254f7acc95d5a5b4caafc00a03207a1, independent
recomputation from all 121 meta/retime_source_indices/episode_*.npz files found:
- 65,532 / 66,053 frames (99.211%) pair the right-front observation with a different source timestamp from the reference arm timeline.
- 65,533 frames compose left and right arm sources from different timestamps.
- 121 / 121 episodes are affected.
- Median source-time delta: 531 frames (17.7 seconds at 30 FPS); maximum: 868 frames.
There is no jointly re-executed world observation or native success receipt that repairs this causal mismatch. Exact normalization and action loss masks do not make the trajectories coherent.
Allowed use: loader tests, padding-mask tests, and training-throughput engineering only.
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