Datasets:

---

ameerazam08

/

civit-image-corpus-1

like 1

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<Size: string, seed: int64, Model: string, steps: int64, prompt: string, sampler: string, cfgScale: int64, resources: list<item: struct<name: string, type: string, weight: int64, hash: string>>, Model hash: string, negativePrompt: string>
to
{'ENSD': Value(dtype='string', id=None), 'Size': Value(dtype='string', id=None), 'seed': Value(dtype='int64', id=None), 'steps': Value(dtype='int64', id=None), 'prompt': Value(dtype='string', id=None), 'sampler': Value(dtype='string', id=None), 'cfgScale': Value(dtype='int64', id=None), 'Clip skip': Value(dtype='string', id=None), 'resources': [{'name': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'weight': Value(dtype='float64', id=None)}], 'Model hash': Value(dtype='string', id=None), 'Hires steps': Value(dtype='string', id=None), 'Hires upscale': Value(dtype='string', id=None), 'Hires upscaler': Value(dtype='string', id=None), 'negativePrompt': Value(dtype='string', id=None), 'Denoising strength': Value(dtype='string', id=None)}
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 2245, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2108, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<Size: string, seed: int64, Model: string, steps: int64, prompt: string, sampler: string, cfgScale: int64, resources: list<item: struct<name: string, type: string, weight: int64, hash: string>>, Model hash: string, negativePrompt: string>
              to
              {'ENSD': Value(dtype='string', id=None), 'Size': Value(dtype='string', id=None), 'seed': Value(dtype='int64', id=None), 'steps': Value(dtype='int64', id=None), 'prompt': Value(dtype='string', id=None), 'sampler': Value(dtype='string', id=None), 'cfgScale': Value(dtype='int64', id=None), 'Clip skip': Value(dtype='string', id=None), 'resources': [{'name': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'weight': Value(dtype='float64', id=None)}], 'Model hash': Value(dtype='string', id=None), 'Hires steps': Value(dtype='string', id=None), 'Hires upscale': Value(dtype='string', id=None), 'Hires upscaler': Value(dtype='string', id=None), 'negativePrompt': Value(dtype='string', id=None), 'Denoising strength': Value(dtype='string', id=None)}
              
              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 1420, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                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 1897, 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