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
status: string
created_at_utc: timestamp[s]
created_at_bj: timestamp[s]
generation_unit: string
requested_generation_unit: string
resolved_generation_unit: string
unify_shot_threshold_sec: double
event_index: int64
event_id: int64
start: double
end: double
duration_sec: double
visual_description: string
shot_count: int64
shots: list<item: struct<status: string, created_at_utc: timestamp[s], created_at_bj: timestamp[s], generat (... 1390 chars omitted)
child 0, item: struct<status: string, created_at_utc: timestamp[s], created_at_bj: timestamp[s], generation_unit: s (... 1378 chars omitted)
child 0, status: string
child 1, created_at_utc: timestamp[s]
child 2, created_at_bj: timestamp[s]
child 3, generation_unit: string
child 4, unit_index: int64
child 5, sample_unit_index: int64
child 6, event_index: int64
child 7, event_id: int64
child 8, shot_index: int64
child 9, start: double
child 10, end: double
child 11, duration_sec: double
child 12, visual_description: string
child 13, unit_metadata: struct<event_index: int64, event_id: int64, shot_index: int64, shot_time_range: string, event_time_r (... 13 chars omitted)
child 0, event_index: int64
child 1, event_id: int64
child 2, shot_index: int64
child 3, shot_time_range: string
child 4, event_time_range: string
child 14, initial_condition_image_path: string
child 15, prompt_template:
...
int64
unit_metadata: struct<event_index: int64, event_id: int64, time_range: string, completion_flag: string>
child 0, event_index: int64
child 1, event_id: int64
child 2, time_range: string
child 3, completion_flag: string
negative_prompt: string
shot_index: null
stage1_generated_frames: int64
planned_chunk_count: int64
final_generated_frames: int64
chunks: list<item: struct<chunk_index: int64, mode: string, output_kind: string, stage1_seed: int64, refine_ (... 160 chars omitted)
child 0, item: struct<chunk_index: int64, mode: string, output_kind: string, stage1_seed: int64, refine_seed: null, (... 148 chars omitted)
child 0, chunk_index: int64
child 1, mode: string
child 2, output_kind: string
child 3, stage1_seed: int64
child 4, refine_seed: null
child 5, stage1_chunk_frames: int64
child 6, stage1_contributed_frames: int64
child 7, final_chunk_frames: int64
child 8, stage1_written_frames: int64
child 9, final_written_frames: int64
prompt: string
sample_unit_index: int64
initial_condition_image_path: string
prompt_template: string
unit_index: int64
refine_config: struct<enabled: bool, width: int64, height: int64, fps: int64, num_cond_frames: int64, num_inference (... 50 chars omitted)
child 0, enabled: bool
child 1, width: int64
child 2, height: int64
child 3, fps: int64
child 4, num_cond_frames: int64
child 5, num_inference_steps: int64
child 6, target_frames: int64
child 7, prompt: null
to
{'status': Value('string'), 'created_at_utc': Value('timestamp[s]'), 'created_at_bj': Value('timestamp[s]'), 'generation_unit': Value('string'), 'unit_index': Value('int64'), 'sample_unit_index': Value('int64'), 'event_index': Value('int64'), 'event_id': Value('int64'), 'shot_index': Value('null'), 'start': Value('float64'), 'end': Value('float64'), 'duration_sec': Value('float64'), 'visual_description': Value('string'), 'unit_metadata': {'event_index': Value('int64'), 'event_id': Value('int64'), 'time_range': Value('string'), 'completion_flag': Value('string')}, 'initial_condition_image_path': Value('string'), 'prompt_template': Value('string'), 'prompt': Value('string'), 'negative_prompt': Value('string'), 'stage1_config': {'resolution': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'fps': Value('int64'), 'num_frames': Value('int64'), 'num_cond_frames': Value('int64'), 'num_inference_steps': Value('int64'), 'guidance_scale': Value('float64'), 'target_frames': Value('int64')}, 'refine_config': {'enabled': Value('bool'), 'width': Value('int64'), 'height': Value('int64'), 'fps': Value('int64'), 'num_cond_frames': Value('int64'), 'num_inference_steps': Value('int64'), 'target_frames': Value('int64'), 'prompt': Value('null')}, 'planned_chunk_count': Value('int64'), 'chunks': List({'chunk_index': Value('int64'), 'mode': Value('string'), 'output_kind': Value('string'), 'stage1_seed': Value('int64'), 'refine_seed': Value('null'), 'stage1_chunk_frames': Value('int64'), 'stage1_contributed_frames': Value('int64'), 'final_chunk_frames': Value('int64'), 'stage1_written_frames': Value('int64'), 'final_written_frames': Value('int64')}), 'generated_video_path': Value('string'), 'tail_frame_path': Value('string'), 'error': Value('null'), 'requested_generation_unit': Value('string'), 'resolved_generation_unit': Value('string'), 'unify_shot_threshold_sec': Value('float64'), 'updated_at_utc': Value('timestamp[s]'), 'updated_at_bj': Value('timestamp[s]'), 'stage1_generated_frames': Value('int64'), 'final_generated_frames': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
status: string
created_at_utc: timestamp[s]
created_at_bj: timestamp[s]
generation_unit: string
requested_generation_unit: string
resolved_generation_unit: string
unify_shot_threshold_sec: double
event_index: int64
event_id: int64
start: double
end: double
duration_sec: double
visual_description: string
shot_count: int64
shots: list<item: struct<status: string, created_at_utc: timestamp[s], created_at_bj: timestamp[s], generat (... 1390 chars omitted)
child 0, item: struct<status: string, created_at_utc: timestamp[s], created_at_bj: timestamp[s], generation_unit: s (... 1378 chars omitted)
child 0, status: string
child 1, created_at_utc: timestamp[s]
child 2, created_at_bj: timestamp[s]
child 3, generation_unit: string
child 4, unit_index: int64
child 5, sample_unit_index: int64
child 6, event_index: int64
child 7, event_id: int64
child 8, shot_index: int64
child 9, start: double
child 10, end: double
child 11, duration_sec: double
child 12, visual_description: string
child 13, unit_metadata: struct<event_index: int64, event_id: int64, shot_index: int64, shot_time_range: string, event_time_r (... 13 chars omitted)
child 0, event_index: int64
child 1, event_id: int64
child 2, shot_index: int64
child 3, shot_time_range: string
child 4, event_time_range: string
child 14, initial_condition_image_path: string
child 15, prompt_template:
...
int64
unit_metadata: struct<event_index: int64, event_id: int64, time_range: string, completion_flag: string>
child 0, event_index: int64
child 1, event_id: int64
child 2, time_range: string
child 3, completion_flag: string
negative_prompt: string
shot_index: null
stage1_generated_frames: int64
planned_chunk_count: int64
final_generated_frames: int64
chunks: list<item: struct<chunk_index: int64, mode: string, output_kind: string, stage1_seed: int64, refine_ (... 160 chars omitted)
child 0, item: struct<chunk_index: int64, mode: string, output_kind: string, stage1_seed: int64, refine_seed: null, (... 148 chars omitted)
child 0, chunk_index: int64
child 1, mode: string
child 2, output_kind: string
child 3, stage1_seed: int64
child 4, refine_seed: null
child 5, stage1_chunk_frames: int64
child 6, stage1_contributed_frames: int64
child 7, final_chunk_frames: int64
child 8, stage1_written_frames: int64
child 9, final_written_frames: int64
prompt: string
sample_unit_index: int64
initial_condition_image_path: string
prompt_template: string
unit_index: int64
refine_config: struct<enabled: bool, width: int64, height: int64, fps: int64, num_cond_frames: int64, num_inference (... 50 chars omitted)
child 0, enabled: bool
child 1, width: int64
child 2, height: int64
child 3, fps: int64
child 4, num_cond_frames: int64
child 5, num_inference_steps: int64
child 6, target_frames: int64
child 7, prompt: null
to
{'status': Value('string'), 'created_at_utc': Value('timestamp[s]'), 'created_at_bj': Value('timestamp[s]'), 'generation_unit': Value('string'), 'unit_index': Value('int64'), 'sample_unit_index': Value('int64'), 'event_index': Value('int64'), 'event_id': Value('int64'), 'shot_index': Value('null'), 'start': Value('float64'), 'end': Value('float64'), 'duration_sec': Value('float64'), 'visual_description': Value('string'), 'unit_metadata': {'event_index': Value('int64'), 'event_id': Value('int64'), 'time_range': Value('string'), 'completion_flag': Value('string')}, 'initial_condition_image_path': Value('string'), 'prompt_template': Value('string'), 'prompt': Value('string'), 'negative_prompt': Value('string'), 'stage1_config': {'resolution': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'fps': Value('int64'), 'num_frames': Value('int64'), 'num_cond_frames': Value('int64'), 'num_inference_steps': Value('int64'), 'guidance_scale': Value('float64'), 'target_frames': Value('int64')}, 'refine_config': {'enabled': Value('bool'), 'width': Value('int64'), 'height': Value('int64'), 'fps': Value('int64'), 'num_cond_frames': Value('int64'), 'num_inference_steps': Value('int64'), 'target_frames': Value('int64'), 'prompt': Value('null')}, 'planned_chunk_count': Value('int64'), 'chunks': List({'chunk_index': Value('int64'), 'mode': Value('string'), 'output_kind': Value('string'), 'stage1_seed': Value('int64'), 'refine_seed': Value('null'), 'stage1_chunk_frames': Value('int64'), 'stage1_contributed_frames': Value('int64'), 'final_chunk_frames': Value('int64'), 'stage1_written_frames': Value('int64'), 'final_written_frames': Value('int64')}), 'generated_video_path': Value('string'), 'tail_frame_path': Value('string'), 'error': Value('null'), 'requested_generation_unit': Value('string'), 'resolved_generation_unit': Value('string'), 'unify_shot_threshold_sec': Value('float64'), 'updated_at_utc': Value('timestamp[s]'), 'updated_at_bj': Value('timestamp[s]'), 'stage1_generated_frames': Value('int64'), 'final_generated_frames': 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.
README.md exists but content is empty.
- Downloads last month
- 4