Datasets:

---

Westayyyy

/

alllaaall

like 0

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 8 new columns ({'image_std', 'do_normalize', 'image_mean', 'image_processor_type', 'size_divisibility', 'do_rescale', 'do_pad', 'rescale_factor'}) and 11 missing columns ({'_diffusers_version', 'beta_schedule', 'clip_sample', 'steps_offset', 'set_alpha_to_one', 'beta_end', 'num_train_timesteps', '_class_name', 'skip_prk_steps', 'beta_start', 'trained_betas'}).

This happened while the json dataset builder was generating data using

hf://datasets/Westayyyy/alllaaall/vitmatte/preprocessor_config.json (at revision 0f1ff3308e0739204b37844cd41fac60d836596c)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              do_normalize: bool
              do_pad: bool
              do_rescale: bool
              image_mean: list<item: double>
                child 0, item: double
              image_processor_type: string
              image_std: list<item: double>
                child 0, item: double
              rescale_factor: double
              size_divisibility: int64
              to
              {'_class_name': Value(dtype='string', id=None), '_diffusers_version': Value(dtype='string', id=None), 'beta_end': Value(dtype='float64', id=None), 'beta_schedule': Value(dtype='string', id=None), 'beta_start': Value(dtype='float64', id=None), 'clip_sample': Value(dtype='bool', id=None), 'num_train_timesteps': Value(dtype='int64', id=None), 'set_alpha_to_one': Value(dtype='bool', id=None), 'steps_offset': Value(dtype='int64', id=None), 'trained_betas': Value(dtype='null', id=None), 'skip_prk_steps': Value(dtype='bool', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1412, 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 988, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 8 new columns ({'image_std', 'do_normalize', 'image_mean', 'image_processor_type', 'size_divisibility', 'do_rescale', 'do_pad', 'rescale_factor'}) and 11 missing columns ({'_diffusers_version', 'beta_schedule', 'clip_sample', 'steps_offset', 'set_alpha_to_one', 'beta_end', 'num_train_timesteps', '_class_name', 'skip_prk_steps', 'beta_start', 'trained_betas'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Westayyyy/alllaaall/vitmatte/preprocessor_config.json (at revision 0f1ff3308e0739204b37844cd41fac60d836596c)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)