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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
_local_path: string
_source_dataset: string
caption: string
caption_cleaned: string
n_words: int64
cluster_id: int64
cluster_dist: double
cluster_size: int64
_pair_type: string
_task_id: string
duration: string
_pexels_id: string
_pexels_video_url: string
_pexels_thumbnail: string
view_count: int64
clip_id: string
url: string
frame_width: string
frame_height: string
fps: string
start_frame: string
end_frame: string
total_frames: string
start_time: string
end_time: string
vtss_score: string
motion_score: string
video_clip_score: string
Brief Description: string
Detailed Description: string
Background: string
Theme Description: string
Style: string
Shot Type: string
Camera Movement: string
Lighting: string
Video Atmosphere: string
Summarized Description: string
_csv_variant: string
ID: string
Topic: string
Detailed Caption: string
Brief Caption: string
Start Time: string
End Time: string
Aesthetic Quality: string
Background Consistency: string
Dynamic Degree: string
Imaging Quality: string
Motion Smoothness: string
Subject Consistency: string
task_order: list<item: string>
  child 0, item: string
total_used: int64
tasks: struct<i2v: struct<per_pair_type: struct<broad: struct<total: int64, per_source: struct<openvid: int (... 1516 chars omitted)
  child 0, i2v: struct<per_pair_type: struct<broad: struct<total: int64, per_source: struct<openvid: int64, pexels:  (... 698 chars omitted)
      child 0, per_pair_type: struct<broad: struct<total: int64, per_source: struct<openvid: int
...
eoufo: int64
              child 2, n_clusters: int64
              child 3, max_cluster_frac: double
          child 2, step_28v32: struct<total: int64, per_source: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo:  (... 52 chars omitted)
              child 0, total: int64
              child 1, per_source: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo: int64>
                  child 0, openvid: int64
                  child 1, pexels: int64
                  child 2, ultravideo: int64
                  child 3, videoufo: int64
              child 2, n_clusters: int64
              child 3, max_cluster_frac: double
          child 3, tie_control: struct<total: int64, per_source: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo:  (... 52 chars omitted)
              child 0, total: int64
              child 1, per_source: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo: int64>
                  child 0, openvid: int64
                  child 1, pexels: int64
                  child 2, ultravideo: int64
                  child 3, videoufo: int64
              child 2, n_clusters: int64
              child 3, max_cluster_frac: double
      child 1, per_source_used: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo: int64>
          child 0, openvid: int64
          child 1, pexels: int64
          child 2, ultravideo: int64
          child 3, videoufo: int64
      child 2, total_used: int64
to
{'task_order': List(Value('string')), 'tasks': {'i2v': {'per_pair_type': {'broad': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'cfg_near': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'step_28v32': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'tie_control': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}}, 'per_source_used': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'total_used': Value('int64')}, 't2v': {'per_pair_type': {'broad': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'cfg_near': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'step_28v32': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'tie_control': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}}, 'per_source_used': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'total_used': Value('int64')}}, 'total_used': 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 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              _local_path: string
              _source_dataset: string
              caption: string
              caption_cleaned: string
              n_words: int64
              cluster_id: int64
              cluster_dist: double
              cluster_size: int64
              _pair_type: string
              _task_id: string
              duration: string
              _pexels_id: string
              _pexels_video_url: string
              _pexels_thumbnail: string
              view_count: int64
              clip_id: string
              url: string
              frame_width: string
              frame_height: string
              fps: string
              start_frame: string
              end_frame: string
              total_frames: string
              start_time: string
              end_time: string
              vtss_score: string
              motion_score: string
              video_clip_score: string
              Brief Description: string
              Detailed Description: string
              Background: string
              Theme Description: string
              Style: string
              Shot Type: string
              Camera Movement: string
              Lighting: string
              Video Atmosphere: string
              Summarized Description: string
              _csv_variant: string
              ID: string
              Topic: string
              Detailed Caption: string
              Brief Caption: string
              Start Time: string
              End Time: string
              Aesthetic Quality: string
              Background Consistency: string
              Dynamic Degree: string
              Imaging Quality: string
              Motion Smoothness: string
              Subject Consistency: string
              task_order: list<item: string>
                child 0, item: string
              total_used: int64
              tasks: struct<i2v: struct<per_pair_type: struct<broad: struct<total: int64, per_source: struct<openvid: int (... 1516 chars omitted)
                child 0, i2v: struct<per_pair_type: struct<broad: struct<total: int64, per_source: struct<openvid: int64, pexels:  (... 698 chars omitted)
                    child 0, per_pair_type: struct<broad: struct<total: int64, per_source: struct<openvid: int
              ...
              eoufo: int64
                            child 2, n_clusters: int64
                            child 3, max_cluster_frac: double
                        child 2, step_28v32: struct<total: int64, per_source: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo:  (... 52 chars omitted)
                            child 0, total: int64
                            child 1, per_source: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo: int64>
                                child 0, openvid: int64
                                child 1, pexels: int64
                                child 2, ultravideo: int64
                                child 3, videoufo: int64
                            child 2, n_clusters: int64
                            child 3, max_cluster_frac: double
                        child 3, tie_control: struct<total: int64, per_source: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo:  (... 52 chars omitted)
                            child 0, total: int64
                            child 1, per_source: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo: int64>
                                child 0, openvid: int64
                                child 1, pexels: int64
                                child 2, ultravideo: int64
                                child 3, videoufo: int64
                            child 2, n_clusters: int64
                            child 3, max_cluster_frac: double
                    child 1, per_source_used: struct<openvid: int64, pexels: int64, ultravideo: int64, videoufo: int64>
                        child 0, openvid: int64
                        child 1, pexels: int64
                        child 2, ultravideo: int64
                        child 3, videoufo: int64
                    child 2, total_used: int64
              to
              {'task_order': List(Value('string')), 'tasks': {'i2v': {'per_pair_type': {'broad': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'cfg_near': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'step_28v32': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'tie_control': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}}, 'per_source_used': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'total_used': Value('int64')}, 't2v': {'per_pair_type': {'broad': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'cfg_near': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'step_28v32': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}, 'tie_control': {'total': Value('int64'), 'per_source': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'n_clusters': Value('int64'), 'max_cluster_frac': Value('float64')}}, 'per_source_used': {'openvid': Value('int64'), 'pexels': Value('int64'), 'ultravideo': Value('int64'), 'videoufo': Value('int64')}, 'total_used': Value('int64')}}, 'total_used': Value('int64')}
              because column names don't match

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