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
dataset: struct<repo_id: string, root: string, episodes: null, image_transforms: struct<enable: bool, max_num (... 588 chars omitted)
child 0, repo_id: string
child 1, root: string
child 2, episodes: null
child 3, image_transforms: struct<enable: bool, max_num_transforms: int64, random_order: bool, tfs: struct<brightness: struct<w (... 450 chars omitted)
child 0, enable: bool
child 1, max_num_transforms: int64
child 2, random_order: bool
child 3, tfs: struct<brightness: struct<weight: double, type: string, kwargs: struct<brightness: list<item: double (... 376 chars omitted)
child 0, brightness: struct<weight: double, type: string, kwargs: struct<brightness: list<item: double>>>
child 0, weight: double
child 1, type: string
child 2, kwargs: struct<brightness: list<item: double>>
child 0, brightness: list<item: double>
child 0, item: double
child 1, contrast: struct<weight: double, type: string, kwargs: struct<contrast: list<item: double>>>
child 0, weight: double
child 1, type: string
child 2, kwargs: struct<contrast: list<item: double>>
child 0, contrast: list<item: double>
child 0, item: double
child 2, saturation: struct<weight: double, type: string, kwargs: struct<saturation: list<item: double>>>
child 0, weight: double
chi
...
ecay: double, grad_clip_norm: double, betas: list<item: dou (... 18 chars omitted)
child 0, type: string
child 1, lr: double
child 2, weight_decay: double
child 3, grad_clip_norm: double
child 4, betas: list<item: double>
child 0, item: double
child 5, eps: double
scheduler: struct<type: string, num_warmup_steps: int64, num_decay_steps: int64, peak_lr: double, decay_lr: dou (... 4 chars omitted)
child 0, type: string
child 1, num_warmup_steps: int64
child 2, num_decay_steps: int64
child 3, peak_lr: double
child 4, decay_lr: double
eval: struct<n_episodes: int64, batch_size: int64, use_async_envs: bool>
child 0, n_episodes: int64
child 1, batch_size: int64
child 2, use_async_envs: bool
wandb: struct<enable: bool, disable_artifact: bool, project: string, entity: null, notes: null, run_id: nul (... 14 chars omitted)
child 0, enable: bool
child 1, disable_artifact: bool
child 2, project: string
child 3, entity: null
child 4, notes: null
child 5, run_id: null
child 6, mode: null
missing_artifacts: list<item: null>
child 0, item: null
environment_overrides: struct<>
job: string
started_at: timestamp[s]
credential_environment_names: list<item: string>
child 0, item: string
child_pid: int64
log_path: string
peak_gpu_memory_mib: int64
exit_code: int64
runner_pid: int64
ended_at: timestamp[s]
required_artifacts: list<item: string>
child 0, item: string
section: string
command: list<item: string>
child 0, item: string
state: string
to
{'child_pid': Value('int64'), 'command': List(Value('string')), 'credential_environment_names': List(Value('string')), 'ended_at': Value('timestamp[s]'), 'environment_overrides': {}, 'exit_code': Value('int64'), 'job': Value('string'), 'log_path': Value('string'), 'missing_artifacts': List(Value('null')), 'peak_gpu_memory_mib': Value('int64'), 'required_artifacts': List(Value('string')), 'runner_pid': Value('int64'), 'section': Value('string'), 'started_at': Value('timestamp[s]'), 'state': 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
dataset: struct<repo_id: string, root: string, episodes: null, image_transforms: struct<enable: bool, max_num (... 588 chars omitted)
child 0, repo_id: string
child 1, root: string
child 2, episodes: null
child 3, image_transforms: struct<enable: bool, max_num_transforms: int64, random_order: bool, tfs: struct<brightness: struct<w (... 450 chars omitted)
child 0, enable: bool
child 1, max_num_transforms: int64
child 2, random_order: bool
child 3, tfs: struct<brightness: struct<weight: double, type: string, kwargs: struct<brightness: list<item: double (... 376 chars omitted)
child 0, brightness: struct<weight: double, type: string, kwargs: struct<brightness: list<item: double>>>
child 0, weight: double
child 1, type: string
child 2, kwargs: struct<brightness: list<item: double>>
child 0, brightness: list<item: double>
child 0, item: double
child 1, contrast: struct<weight: double, type: string, kwargs: struct<contrast: list<item: double>>>
child 0, weight: double
child 1, type: string
child 2, kwargs: struct<contrast: list<item: double>>
child 0, contrast: list<item: double>
child 0, item: double
child 2, saturation: struct<weight: double, type: string, kwargs: struct<saturation: list<item: double>>>
child 0, weight: double
chi
...
ecay: double, grad_clip_norm: double, betas: list<item: dou (... 18 chars omitted)
child 0, type: string
child 1, lr: double
child 2, weight_decay: double
child 3, grad_clip_norm: double
child 4, betas: list<item: double>
child 0, item: double
child 5, eps: double
scheduler: struct<type: string, num_warmup_steps: int64, num_decay_steps: int64, peak_lr: double, decay_lr: dou (... 4 chars omitted)
child 0, type: string
child 1, num_warmup_steps: int64
child 2, num_decay_steps: int64
child 3, peak_lr: double
child 4, decay_lr: double
eval: struct<n_episodes: int64, batch_size: int64, use_async_envs: bool>
child 0, n_episodes: int64
child 1, batch_size: int64
child 2, use_async_envs: bool
wandb: struct<enable: bool, disable_artifact: bool, project: string, entity: null, notes: null, run_id: nul (... 14 chars omitted)
child 0, enable: bool
child 1, disable_artifact: bool
child 2, project: string
child 3, entity: null
child 4, notes: null
child 5, run_id: null
child 6, mode: null
missing_artifacts: list<item: null>
child 0, item: null
environment_overrides: struct<>
job: string
started_at: timestamp[s]
credential_environment_names: list<item: string>
child 0, item: string
child_pid: int64
log_path: string
peak_gpu_memory_mib: int64
exit_code: int64
runner_pid: int64
ended_at: timestamp[s]
required_artifacts: list<item: string>
child 0, item: string
section: string
command: list<item: string>
child 0, item: string
state: string
to
{'child_pid': Value('int64'), 'command': List(Value('string')), 'credential_environment_names': List(Value('string')), 'ended_at': Value('timestamp[s]'), 'environment_overrides': {}, 'exit_code': Value('int64'), 'job': Value('string'), 'log_path': Value('string'), 'missing_artifacts': List(Value('null')), 'peak_gpu_memory_mib': Value('int64'), 'required_artifacts': List(Value('string')), 'runner_pid': Value('int64'), 'section': Value('string'), 'started_at': Value('timestamp[s]'), 'state': 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.
Item Assembly Experiment Data
Research datasets, evaluation records, runtime traces, observations, and videos from YALA item_assembly work. Repository-relative paths are preserved under experiments/, results/pi05_item_assembly/, and the PI0.5 upload audit in results/pi05_checkpoint_upload_yalaetc_20260928/. Source code and virtual environments are excluded; policy checkpoint tensors are in YALAetc/item-assembly-experiment-checkpoints, and the selected alignment specialist B checkpoint is published at YALA-Robo/item-assembly-alignment-specialist.
MANIFEST.csv maps every archived file to its original path and SHA256. A small set of source runtime logs contains embedded NUL bytes and is stored as base64 under encoded_binary_logs/; the manifest records encoding=base64 and both source and uploaded hashes so the exact original bytes can be restored. Empty transient lock files are omitted.
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