Datasets:

---

kaiw7

/

jav-minimax-h3

like 1

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
status: string
record_id: string
source_manifest: string
generation_family: string
domain: null
prompt_type: string
seed: int64
duration_seconds: int64
prompt_sha256: string
server_video_id: string
output_video: string
elapsed_seconds: double
request: struct<task: string, prompt: string, conditions: list<item: null>, target: struct<short_edge: int64, (... 61 chars omitted)
  child 0, task: string
  child 1, prompt: string
  child 2, conditions: list<item: null>
      child 0, item: null
  child 3, target: struct<short_edge: int64, aspect_ratio: string, duration_seconds: int64>
      child 0, short_edge: int64
      child 1, aspect_ratio: string
      child 2, duration_seconds: int64
  child 4, seed: int64
submission_response: struct<id: string, object: string, model: string, status: string, progress: int64, created_at: int64 (... 256 chars omitted)
  child 0, id: string
  child 1, object: string
  child 2, model: string
  child 3, status: string
  child 4, progress: int64
  child 5, created_at: int64
  child 6, size: string
  child 7, seconds: string
  child 8, quality: string
  child 9, url: null
  child 10, remixed_from_video_id: null
  child 11, completed_at: null
  child 12, expires_at: null
  child 13, error: null
  child 14, file_path: string
  child 15, file_paths: null
  child 16, num_outputs: null
  child 17, peak_memory_mb: null
  child 18, inference_time_s: null
  child 19, action: null
final_response: struct<id: string, object: string, model: string, status: string, progress: int64, created_at: int64 (... 276 chars omitted)
  child 0, id: string
  child 1, object: string
  child 2, model: string
  child 3, status: string
  child 4, progress: int64
  child 5, created_at: int64
  child 6, size: string
  child 7, seconds: string
  child 8, quality: string
  child 9, url: null
  child 10, remixed_from_video_id: null
  child 11, completed_at: int64
  child 12, expires_at: null
  child 13, error: null
  child 14, file_path: string
  child 15, file_paths: list<item: string>
      child 0, item: string
  child 16, num_outputs: int64
  child 17, peak_memory_mb: double
  child 18, inference_time_s: double
  child 19, action: null
to
{'status': Value('string'), 'record_id': Value('string'), 'seed': Value('int64'), 'duration_seconds': Value('int64'), 'server_video_id': Value('string'), 'output_video': Value('string'), 'elapsed_seconds': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              status: string
              record_id: string
              source_manifest: string
              generation_family: string
              domain: null
              prompt_type: string
              seed: int64
              duration_seconds: int64
              prompt_sha256: string
              server_video_id: string
              output_video: string
              elapsed_seconds: double
              request: struct<task: string, prompt: string, conditions: list<item: null>, target: struct<short_edge: int64, (... 61 chars omitted)
                child 0, task: string
                child 1, prompt: string
                child 2, conditions: list<item: null>
                    child 0, item: null
                child 3, target: struct<short_edge: int64, aspect_ratio: string, duration_seconds: int64>
                    child 0, short_edge: int64
                    child 1, aspect_ratio: string
                    child 2, duration_seconds: int64
                child 4, seed: int64
              submission_response: struct<id: string, object: string, model: string, status: string, progress: int64, created_at: int64 (... 256 chars omitted)
                child 0, id: string
                child 1, object: string
                child 2, model: string
                child 3, status: string
                child 4, progress: int64
                child 5, created_at: int64
                child 6, size: string
                child 7, seconds: string
                child 8, quality: string
                child 9, url: null
                child 10, remixed_from_video_id: null
                child 11, completed_at: null
                child 12, expires_at: null
                child 13, error: null
                child 14, file_path: string
                child 15, file_paths: null
                child 16, num_outputs: null
                child 17, peak_memory_mb: null
                child 18, inference_time_s: null
                child 19, action: null
              final_response: struct<id: string, object: string, model: string, status: string, progress: int64, created_at: int64 (... 276 chars omitted)
                child 0, id: string
                child 1, object: string
                child 2, model: string
                child 3, status: string
                child 4, progress: int64
                child 5, created_at: int64
                child 6, size: string
                child 7, seconds: string
                child 8, quality: string
                child 9, url: null
                child 10, remixed_from_video_id: null
                child 11, completed_at: int64
                child 12, expires_at: null
                child 13, error: null
                child 14, file_path: string
                child 15, file_paths: list<item: string>
                    child 0, item: string
                child 16, num_outputs: int64
                child 17, peak_memory_mb: double
                child 18, inference_time_s: double
                child 19, action: null
              to
              {'status': Value('string'), 'record_id': Value('string'), 'seed': Value('int64'), 'duration_seconds': Value('int64'), 'server_video_id': Value('string'), 'output_video': Value('string'), 'elapsed_seconds': Value('float64')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset