Datasets:

---

FourierYe

/

people-detection

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
image: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
pixel_values: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
labels: struct<bbox: list<item: list<item: int64>>, file_name: string>
  child 0, bbox: list<item: list<item: int64>>
      child 0, item: list<item: int64>
          child 0, item: int64
  child 1, file_name: string
-- schema metadata --
huggingface: '{"info": {"features": {"image": {"decode": false, "_type": ' + 225
to
{'image': Image(mode=None, decode=True, id=None), 'labels': {'bbox': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'file_name': Value(dtype='string', id=None)}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1855, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 687, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 76, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 59, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              image: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              pixel_values: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              labels: struct<bbox: list<item: list<item: int64>>, file_name: string>
                child 0, bbox: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
                child 1, file_name: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"image": {"decode": false, "_type": ' + 225
              to
              {'image': Image(mode=None, decode=True, id=None), 'labels': {'bbox': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'file_name': Value(dtype='string', id=None)}}
              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 1433, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 989, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1898, 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