Datasets:

---

Realfencer

/

leoma_dataset

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
duration_seconds: double
first_frame_height: int64
first_frame_path: string
first_frame_width: int64
height: int64
metadata_path: string
prompt: string
prompt_path: string
source: string
task_id: int64
video_path: string
width: int64
validation: struct<duration_seconds: double, first_frame_height: int64, first_frame_size_bytes: int64, first_fra (... 78 chars omitted)
  child 0, duration_seconds: double
  child 1, first_frame_height: int64
  child 2, first_frame_size_bytes: int64
  child 3, first_frame_width: int64
  child 4, height: int64
  child 5, original_clip_size_bytes: int64
  child 6, width: int64
task_detail: struct<description: string, first_frame_path: string, first_frame_url: string, miner_count: int64, m (... 236 chars omitted)
  child 0, description: string
  child 1, first_frame_path: string
  child 2, first_frame_url: string
  child 3, miner_count: int64
  child 4, miners: list<item: struct<latency_ms: int64, miner_hotkey: string, passed: bool, updated: string, validator_ (... 14 chars omitted)
      child 0, item: struct<latency_ms: int64, miner_hotkey: string, passed: bool, updated: string, validator_count: int6 (... 2 chars omitted)
          child 0, latency_ms: int64
          child 1, miner_hotkey: string
          child 2, passed: bool
          child 3, updated: string
          child 4, validator_count: int64
  child 5, original_clip_path: string
  child 6, original_clip_url: string
  child 7, s3_prefix: string
  child 8, task_id: int64
  child 9, validator_count: int64
to
{'task_detail': {'description': Value('string'), 'first_frame_path': Value('string'), 'first_frame_url': Value('string'), 'miner_count': Value('int64'), 'miners': List({'latency_ms': Value('int64'), 'miner_hotkey': Value('string'), 'passed': Value('bool'), 'updated': Value('string'), 'validator_count': Value('int64')}), 'original_clip_path': Value('string'), 'original_clip_url': Value('string'), 's3_prefix': Value('string'), 'task_id': Value('int64'), 'validator_count': Value('int64')}, 'validation': {'duration_seconds': Value('float64'), 'first_frame_height': Value('int64'), 'first_frame_size_bytes': Value('int64'), 'first_frame_width': Value('int64'), 'height': Value('int64'), 'original_clip_size_bytes': Value('int64'), 'width': Value('int64')}}
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
              duration_seconds: double
              first_frame_height: int64
              first_frame_path: string
              first_frame_width: int64
              height: int64
              metadata_path: string
              prompt: string
              prompt_path: string
              source: string
              task_id: int64
              video_path: string
              width: int64
              validation: struct<duration_seconds: double, first_frame_height: int64, first_frame_size_bytes: int64, first_fra (... 78 chars omitted)
                child 0, duration_seconds: double
                child 1, first_frame_height: int64
                child 2, first_frame_size_bytes: int64
                child 3, first_frame_width: int64
                child 4, height: int64
                child 5, original_clip_size_bytes: int64
                child 6, width: int64
              task_detail: struct<description: string, first_frame_path: string, first_frame_url: string, miner_count: int64, m (... 236 chars omitted)
                child 0, description: string
                child 1, first_frame_path: string
                child 2, first_frame_url: string
                child 3, miner_count: int64
                child 4, miners: list<item: struct<latency_ms: int64, miner_hotkey: string, passed: bool, updated: string, validator_ (... 14 chars omitted)
                    child 0, item: struct<latency_ms: int64, miner_hotkey: string, passed: bool, updated: string, validator_count: int6 (... 2 chars omitted)
                        child 0, latency_ms: int64
                        child 1, miner_hotkey: string
                        child 2, passed: bool
                        child 3, updated: string
                        child 4, validator_count: int64
                child 5, original_clip_path: string
                child 6, original_clip_url: string
                child 7, s3_prefix: string
                child 8, task_id: int64
                child 9, validator_count: int64
              to
              {'task_detail': {'description': Value('string'), 'first_frame_path': Value('string'), 'first_frame_url': Value('string'), 'miner_count': Value('int64'), 'miners': List({'latency_ms': Value('int64'), 'miner_hotkey': Value('string'), 'passed': Value('bool'), 'updated': Value('string'), 'validator_count': Value('int64')}), 'original_clip_path': Value('string'), 'original_clip_url': Value('string'), 's3_prefix': Value('string'), 'task_id': Value('int64'), 'validator_count': Value('int64')}, 'validation': {'duration_seconds': Value('float64'), 'first_frame_height': Value('int64'), 'first_frame_size_bytes': Value('int64'), 'first_frame_width': Value('int64'), 'height': Value('int64'), 'original_clip_size_bytes': Value('int64'), 'width': Value('int64')}}
              because column names don't match