SMD-data
Collection
4 items • Updated
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
clip_id: string
contract_sha256: string
instruction_id: string
output_geometry: struct<aspect_bucket: string, audio_latent_shape: list<item: int64>, duration_seconds: int64, effect (... 182 chars omitted)
child 0, aspect_bucket: string
child 1, audio_latent_shape: list<item: int64>
child 0, item: int64
child 2, duration_seconds: int64
child 3, effective_duration_seconds: double
child 4, fps: double
child 5, height: int64
child 6, num_frames: int64
child 7, resolution_profile: string
child 8, resolution_tier: string
child 9, video_latent_shape: list<item: int64>
child 0, item: int64
child 10, width: int64
prompt: string
prompt_confidence: double
prompt_sha256: string
reference_geometry: struct<aspect_bucket: string, audio_latent_shape: list<item: int64>, duration_seconds: int64, effect (... 182 chars omitted)
child 0, aspect_bucket: string
child 1, audio_latent_shape: list<item: int64>
child 0, item: int64
child 2, duration_seconds: int64
child 3, effective_duration_seconds: double
child 4, fps: double
child 5, height: int64
child 6, num_frames: int64
child 7, resolution_profile: string
child 8, resolution_tier: string
child 9, video_latent_shape: list<item: int64>
child 0, item: int64
child 10, width: int64
reference_id: string
reference_reuse_index: int64
request_sha256: string
schema: string
selected_task: string
task_evidence: list<item: string>
child 0, item: string
cache_bytes: int64
parts: list<item:
...
ds: struct<5: int64, 8: int64, 10: int64>
child 0, 5: int64
child 1, 8: int64
child 2, 10: int64
child 1, task_type: struct<camera_shot_transfer: int64, environment_preservation: int64, video_edit_audio_reuse: int64, (... 228 chars omitted)
child 0, camera_shot_transfer: int64
child 1, environment_preservation: int64
child 2, video_edit_audio_reuse: int64
child 3, video_continuation: int64
child 4, subject_recontextualization: int64
child 5, action_motion_transfer: int64
child 6, style_lighting_transfer: int64
child 7, composition_transfer: int64
child 8, audio_driven_revisualization: int64
child 9, audiovisual_rhythm_reference: int64
child 5, files_sha256: string
child 6, storage: string
child 7, archive: struct<path: string, bytes: int64, sha256: string, unpacked_bytes: int64>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, unpacked_bytes: int64
child 8, source_metadata: struct<instructions: string, references: string>
child 0, instructions: string
child 1, references: string
num_records: int64
planned_num_records: int64
kind: string
planned_num_parts: int64
payload_checksums_recorded: bool
complete: bool
source_payload_hashes_verified: bool
archive_migration_complete: bool
to
{'schema': Value('string'), 'kind': Value('string'), 'parts': List({'id': Value('string'), 'num_records': Value('int64'), 'num_references': Value('int64'), 'cache_bytes': Value('int64'), 'counts': {'duration_seconds': {'5': Value('int64'), '8': Value('int64'), '10': Value('int64')}, 'task_type': {'camera_shot_transfer': Value('int64'), 'environment_preservation': Value('int64'), 'video_edit_audio_reuse': Value('int64'), 'video_continuation': Value('int64'), 'subject_recontextualization': Value('int64'), 'action_motion_transfer': Value('int64'), 'style_lighting_transfer': Value('int64'), 'composition_transfer': Value('int64'), 'audio_driven_revisualization': Value('int64'), 'audiovisual_rhythm_reference': Value('int64')}}, 'files_sha256': Value('string'), 'storage': Value('string'), 'archive': {'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'unpacked_bytes': Value('int64')}, 'source_metadata': {'instructions': Value('string'), 'references': Value('string')}}), 'num_records': Value('int64'), 'cache_bytes': Value('int64'), 'planned_num_parts': Value('int64'), 'planned_num_records': Value('int64'), 'complete': Value('bool'), 'payload_checksums_recorded': Value('bool'), 'source_payload_hashes_verified': Value('bool'), 'archive_migration_complete': Value('bool')}
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
clip_id: string
contract_sha256: string
instruction_id: string
output_geometry: struct<aspect_bucket: string, audio_latent_shape: list<item: int64>, duration_seconds: int64, effect (... 182 chars omitted)
child 0, aspect_bucket: string
child 1, audio_latent_shape: list<item: int64>
child 0, item: int64
child 2, duration_seconds: int64
child 3, effective_duration_seconds: double
child 4, fps: double
child 5, height: int64
child 6, num_frames: int64
child 7, resolution_profile: string
child 8, resolution_tier: string
child 9, video_latent_shape: list<item: int64>
child 0, item: int64
child 10, width: int64
prompt: string
prompt_confidence: double
prompt_sha256: string
reference_geometry: struct<aspect_bucket: string, audio_latent_shape: list<item: int64>, duration_seconds: int64, effect (... 182 chars omitted)
child 0, aspect_bucket: string
child 1, audio_latent_shape: list<item: int64>
child 0, item: int64
child 2, duration_seconds: int64
child 3, effective_duration_seconds: double
child 4, fps: double
child 5, height: int64
child 6, num_frames: int64
child 7, resolution_profile: string
child 8, resolution_tier: string
child 9, video_latent_shape: list<item: int64>
child 0, item: int64
child 10, width: int64
reference_id: string
reference_reuse_index: int64
request_sha256: string
schema: string
selected_task: string
task_evidence: list<item: string>
child 0, item: string
cache_bytes: int64
parts: list<item:
...
ds: struct<5: int64, 8: int64, 10: int64>
child 0, 5: int64
child 1, 8: int64
child 2, 10: int64
child 1, task_type: struct<camera_shot_transfer: int64, environment_preservation: int64, video_edit_audio_reuse: int64, (... 228 chars omitted)
child 0, camera_shot_transfer: int64
child 1, environment_preservation: int64
child 2, video_edit_audio_reuse: int64
child 3, video_continuation: int64
child 4, subject_recontextualization: int64
child 5, action_motion_transfer: int64
child 6, style_lighting_transfer: int64
child 7, composition_transfer: int64
child 8, audio_driven_revisualization: int64
child 9, audiovisual_rhythm_reference: int64
child 5, files_sha256: string
child 6, storage: string
child 7, archive: struct<path: string, bytes: int64, sha256: string, unpacked_bytes: int64>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, unpacked_bytes: int64
child 8, source_metadata: struct<instructions: string, references: string>
child 0, instructions: string
child 1, references: string
num_records: int64
planned_num_records: int64
kind: string
planned_num_parts: int64
payload_checksums_recorded: bool
complete: bool
source_payload_hashes_verified: bool
archive_migration_complete: bool
to
{'schema': Value('string'), 'kind': Value('string'), 'parts': List({'id': Value('string'), 'num_records': Value('int64'), 'num_references': Value('int64'), 'cache_bytes': Value('int64'), 'counts': {'duration_seconds': {'5': Value('int64'), '8': Value('int64'), '10': Value('int64')}, 'task_type': {'camera_shot_transfer': Value('int64'), 'environment_preservation': Value('int64'), 'video_edit_audio_reuse': Value('int64'), 'video_continuation': Value('int64'), 'subject_recontextualization': Value('int64'), 'action_motion_transfer': Value('int64'), 'style_lighting_transfer': Value('int64'), 'composition_transfer': Value('int64'), 'audio_driven_revisualization': Value('int64'), 'audiovisual_rhythm_reference': Value('int64')}}, 'files_sha256': Value('string'), 'storage': Value('string'), 'archive': {'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'unpacked_bytes': Value('int64')}, 'source_metadata': {'instructions': Value('string'), 'references': Value('string')}}), 'num_records': Value('int64'), 'cache_bytes': Value('int64'), 'planned_num_parts': Value('int64'), 'planned_num_records': Value('int64'), 'complete': Value('bool'), 'payload_checksums_recorded': Value('bool'), 'source_payload_hashes_verified': Value('bool'), 'archive_migration_complete': Value('bool')}
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.
No dataset card yet
- Downloads last month
- 758