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
format: string
oracle_commit: string
artifacts: list<item: struct<path: string, media_type: string, byte_length: int64>>
child 0, item: struct<path: string, media_type: string, byte_length: int64>
child 0, path: string
child 1, media_type: string
child 2, byte_length: int64
taskSpecHash: string
captureMetadata: struct<schema: string, version: int64, camera: struct<selection: struct<availability: string, value: (... 756 chars omitted)
child 0, schema: string
child 1, version: int64
child 2, camera: struct<selection: struct<availability: string, value: struct<label: string, side: string>>, width: s (... 192 chars omitted)
child 0, selection: struct<availability: string, value: struct<label: string, side: string>>
child 0, availability: string
child 1, value: struct<label: string, side: string>
child 0, label: string
child 1, side: string
child 1, width: struct<availability: string, value: int64>
child 0, availability: string
child 1, value: int64
child 2, height: struct<availability: string, value: int64>
child 0, availability: string
child 1, value: int64
child 3, frameRate: struct<availability: string, value: int64>
child 0, availability: string
child 1, value: int64
child 4, calibration: struct<availability: string>
child 0, availability: string
child 3, device: struct<headsetModel: struct<availability
...
child 0, item: string
child 6, sourceRevision: string
child 7, operationId: string
segments: list<item: struct<id: string, taskId: string, taskLabel: string, taskDescription: string, repetition (... 350 chars omitted)
child 0, item: struct<id: string, taskId: string, taskLabel: string, taskDescription: string, repetition: int64, ta (... 338 chars omitted)
child 0, id: string
child 1, taskId: string
child 2, taskLabel: string
child 3, taskDescription: string
child 4, repetition: int64
child 5, take: int64
child 6, startedAt: string
child 7, outcome: string
child 8, accepted: bool
child 9, annotations: list<item: struct<id: string, action: string, actor: string, timestampMs: int64, sourceTimestampUs: (... 7 chars omitted)
child 0, item: struct<id: string, action: string, actor: string, timestampMs: int64, sourceTimestampUs: int64>
child 0, id: string
child 1, action: string
child 2, actor: string
child 3, timestampMs: int64
child 4, sourceTimestampUs: int64
child 10, endedAt: string
child 11, startSourceTimestampUs: int64
child 12, endSourceTimestampUs: int64
child 13, label: string
child 14, recorderSlotCount: int64
child 15, gapCount: int64
child 16, frameCount: int64
episodeId: string
taskSpecificationPath: string
version: int64
taskSpecVersion: int64
episodeIndex: int64
schema: string
to
{'schema': Value('string'), 'version': Value('int64'), 'episodeId': Value('string'), 'episodeIndex': Value('int64'), 'captureMetadata': {'schema': Value('string'), 'version': Value('int64'), 'camera': {'selection': {'availability': Value('string'), 'value': {'label': Value('string'), 'side': Value('string')}}, 'width': {'availability': Value('string'), 'value': Value('int64')}, 'height': {'availability': Value('string'), 'value': Value('int64')}, 'frameRate': {'availability': Value('string'), 'value': Value('int64')}, 'calibration': {'availability': Value('string')}}, 'device': {'headsetModel': {'availability': Value('string'), 'value': Value('string')}, 'questBrowser': {'availability': Value('string'), 'value': Value('bool')}, 'sensorSource': {'availability': Value('string'), 'value': Value('string')}, 'handTracking': {'availability': Value('string'), 'value': Value('string')}}, 'recorder': {'rateHz': {'availability': Value('string'), 'value': Value('int64')}}, 'study': {'headsetId': Value('null'), 'demonstratorId': Value('string'), 'demonstratorIdOrigin': Value('string'), 'projectId': Value('null'), 'consentDate': Value('null'), 'consentDocumentId': Value('null')}, 'audio': {'rawMicrophoneAudioRetained': Value('bool')}}, 'segments': List({'id': Value('string'), 'taskId': Value('string'), 'taskLabel': Value('string'), 'taskDescription': Value('string'), 'repetition': Value('int64'), 'take': Value('int64'), 'startedAt': Value('string'), 'outcome': Value('string'), 'accepted':
...
tartSourceTimestampUs': Value('int64'), 'endSourceTimestampUs': Value('int64'), 'label': Value('string'), 'recorderSlotCount': Value('int64'), 'gapCount': Value('int64'), 'frameCount': Value('int64')}), 'taskSpecVersion': Value('int64'), 'taskSpecHash': Value('string'), 'taskSpecificationPath': Value('string'), 'editorProvenance': {'schema': Value('string'), 'version': Value('int64'), 'taskSources': {'0:task-001': {'id': Value('string'), 'type': Value('string'), 'label': Value('string'), 'instructions': Value('string'), 'repeatCount': Value('int64'), 'resetTimeS': Value('int64')}}, 'segmentSources': {'b53a2642-a5f4-4a2e-ad4b-8eb9492bc2ee-segment-1': {'id': Value('string'), 'taskId': Value('string'), 'taskLabel': Value('string'), 'taskDescription': Value('string'), 'repetition': Value('int64'), 'take': Value('int64'), 'startedAt': Value('string'), 'frameCount': Value('int64'), 'gapCount': Value('int64'), 'recorderSlotCount': Value('int64'), 'outcome': Value('string'), 'accepted': Value('bool'), 'annotations': List({'id': Value('string'), 'action': Value('string'), 'actor': Value('string'), 'timestampMs': Value('int64'), 'sourceTimestampUs': Value('int64')}), 'endedAt': Value('string'), 'startSourceTimestampUs': Value('int64'), 'endSourceTimestampUs': Value('int64')}}, 'taskLineage': {'task-001': List(Value('string'))}, 'segmentLineage': {'b53a2642-a5f4-4a2e-ad4b-8eb9492bc2ee-segment-1': List(Value('string'))}, 'sourceRevision': Value('string'), 'operationId': Value('string')}}
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
format: string
oracle_commit: string
artifacts: list<item: struct<path: string, media_type: string, byte_length: int64>>
child 0, item: struct<path: string, media_type: string, byte_length: int64>
child 0, path: string
child 1, media_type: string
child 2, byte_length: int64
taskSpecHash: string
captureMetadata: struct<schema: string, version: int64, camera: struct<selection: struct<availability: string, value: (... 756 chars omitted)
child 0, schema: string
child 1, version: int64
child 2, camera: struct<selection: struct<availability: string, value: struct<label: string, side: string>>, width: s (... 192 chars omitted)
child 0, selection: struct<availability: string, value: struct<label: string, side: string>>
child 0, availability: string
child 1, value: struct<label: string, side: string>
child 0, label: string
child 1, side: string
child 1, width: struct<availability: string, value: int64>
child 0, availability: string
child 1, value: int64
child 2, height: struct<availability: string, value: int64>
child 0, availability: string
child 1, value: int64
child 3, frameRate: struct<availability: string, value: int64>
child 0, availability: string
child 1, value: int64
child 4, calibration: struct<availability: string>
child 0, availability: string
child 3, device: struct<headsetModel: struct<availability
...
child 0, item: string
child 6, sourceRevision: string
child 7, operationId: string
segments: list<item: struct<id: string, taskId: string, taskLabel: string, taskDescription: string, repetition (... 350 chars omitted)
child 0, item: struct<id: string, taskId: string, taskLabel: string, taskDescription: string, repetition: int64, ta (... 338 chars omitted)
child 0, id: string
child 1, taskId: string
child 2, taskLabel: string
child 3, taskDescription: string
child 4, repetition: int64
child 5, take: int64
child 6, startedAt: string
child 7, outcome: string
child 8, accepted: bool
child 9, annotations: list<item: struct<id: string, action: string, actor: string, timestampMs: int64, sourceTimestampUs: (... 7 chars omitted)
child 0, item: struct<id: string, action: string, actor: string, timestampMs: int64, sourceTimestampUs: int64>
child 0, id: string
child 1, action: string
child 2, actor: string
child 3, timestampMs: int64
child 4, sourceTimestampUs: int64
child 10, endedAt: string
child 11, startSourceTimestampUs: int64
child 12, endSourceTimestampUs: int64
child 13, label: string
child 14, recorderSlotCount: int64
child 15, gapCount: int64
child 16, frameCount: int64
episodeId: string
taskSpecificationPath: string
version: int64
taskSpecVersion: int64
episodeIndex: int64
schema: string
to
{'schema': Value('string'), 'version': Value('int64'), 'episodeId': Value('string'), 'episodeIndex': Value('int64'), 'captureMetadata': {'schema': Value('string'), 'version': Value('int64'), 'camera': {'selection': {'availability': Value('string'), 'value': {'label': Value('string'), 'side': Value('string')}}, 'width': {'availability': Value('string'), 'value': Value('int64')}, 'height': {'availability': Value('string'), 'value': Value('int64')}, 'frameRate': {'availability': Value('string'), 'value': Value('int64')}, 'calibration': {'availability': Value('string')}}, 'device': {'headsetModel': {'availability': Value('string'), 'value': Value('string')}, 'questBrowser': {'availability': Value('string'), 'value': Value('bool')}, 'sensorSource': {'availability': Value('string'), 'value': Value('string')}, 'handTracking': {'availability': Value('string'), 'value': Value('string')}}, 'recorder': {'rateHz': {'availability': Value('string'), 'value': Value('int64')}}, 'study': {'headsetId': Value('null'), 'demonstratorId': Value('string'), 'demonstratorIdOrigin': Value('string'), 'projectId': Value('null'), 'consentDate': Value('null'), 'consentDocumentId': Value('null')}, 'audio': {'rawMicrophoneAudioRetained': Value('bool')}}, 'segments': List({'id': Value('string'), 'taskId': Value('string'), 'taskLabel': Value('string'), 'taskDescription': Value('string'), 'repetition': Value('int64'), 'take': Value('int64'), 'startedAt': Value('string'), 'outcome': Value('string'), 'accepted':
...
tartSourceTimestampUs': Value('int64'), 'endSourceTimestampUs': Value('int64'), 'label': Value('string'), 'recorderSlotCount': Value('int64'), 'gapCount': Value('int64'), 'frameCount': Value('int64')}), 'taskSpecVersion': Value('int64'), 'taskSpecHash': Value('string'), 'taskSpecificationPath': Value('string'), 'editorProvenance': {'schema': Value('string'), 'version': Value('int64'), 'taskSources': {'0:task-001': {'id': Value('string'), 'type': Value('string'), 'label': Value('string'), 'instructions': Value('string'), 'repeatCount': Value('int64'), 'resetTimeS': Value('int64')}}, 'segmentSources': {'b53a2642-a5f4-4a2e-ad4b-8eb9492bc2ee-segment-1': {'id': Value('string'), 'taskId': Value('string'), 'taskLabel': Value('string'), 'taskDescription': Value('string'), 'repetition': Value('int64'), 'take': Value('int64'), 'startedAt': Value('string'), 'frameCount': Value('int64'), 'gapCount': Value('int64'), 'recorderSlotCount': Value('int64'), 'outcome': Value('string'), 'accepted': Value('bool'), 'annotations': List({'id': Value('string'), 'action': Value('string'), 'actor': Value('string'), 'timestampMs': Value('int64'), 'sourceTimestampUs': Value('int64')}), 'endedAt': Value('string'), 'startSourceTimestampUs': Value('int64'), 'endSourceTimestampUs': Value('int64')}}, 'taskLineage': {'task-001': List(Value('string'))}, 'segmentLineage': {'b53a2642-a5f4-4a2e-ad4b-8eb9492bc2ee-segment-1': List(Value('string'))}, 'sourceRevision': Value('string'), 'operationId': 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.
CERES capture dataset
LeRobot v3 episodes captured with CERES.
Open in the CERES dataset viewer
Acquisition statistics
- Episodes: 1
- Retained recorder slots: 2413
- Explicit tracking gaps: 21
- Captured duration: 1 min 20 s
- Recorder rate: 30 Hz
- Device: Native WebXR; Quest 3
Captured with CERES.
- Downloads last month
- 673