Datasets:

---

crystantine

/

koleksiekstensi

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 14 new columns ({'id', 'tags', 'modelVersions', 'poi', 'allowDerivatives', 'description', 'nsfw', 'allowCommercialUse', 'allowDifferentLicense', 'stats', 'type', 'allowNoCredit', 'name', 'creator'}) and 3 missing columns ({'Tokenizer', 'Model', 'Title'}).

This happened while the json dataset builder was generating data using

hf://datasets/crystantine/koleksiekstensi/miaoshouai-assistant/configs/controlnet.json (at revision 553ec588d84158dd0244bc58e86071ca602bb8a1)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              tags: list<item: null>
                child 0, item: null
              modelVersions: list<item: struct<baseModel: string, createdAt: string, description: string, earlyAccessTimeFrame: int64, files: list<item: struct<downloadUrl: string, format: string, hashes: struct<AutoV2: string, BLAKE3: string, CRC32: string, SHA256: string>, id: int64, name: string, pickleScanMessage: string, pickleScanResult: string, primary: bool, scannedAt: string, sizeKB: double, type: string, virusScanResult: string>>, id: int64, images: list<item: struct<url: string>>, modelId: int64, name: string, trainedWords: list<item: null>, updatedAt: string>>
                child 0, item: struct<baseModel: string, createdAt: string, description: string, earlyAccessTimeFrame: int64, files: list<item: struct<downloadUrl: string, format: string, hashes: struct<AutoV2: string, BLAKE3: string, CRC32: string, SHA256: string>, id: int64, name: string, pickleScanMessage: string, pickleScanResult: string, primary: bool, scannedAt: string, sizeKB: double, type: string, virusScanResult: string>>, id: int64, images: list<item: struct<url: string>>, modelId: int64, name: string, trainedWords: list<item: null>, updatedAt: string>
                    child 0, baseModel: string
                    child 1, createdAt: string
                    child 2, description: string
                    child 3, earlyAccessTimeFrame: int64
                    child 4, files: list<item: struct<downloadUrl: string, format: string, hashes: struct<AutoV2: string, BLAKE3: string, CRC32: string, SHA256: string>, id: int64, name: string, 
              ...
              string
                            child 2, hashes: struct<AutoV2: string, BLAKE3: string, CRC32: string, SHA256: string>
                                child 0, AutoV2: string
                                child 1, BLAKE3: string
                                child 2, CRC32: string
                                child 3, SHA256: string
                            child 3, id: int64
                            child 4, name: string
                            child 5, pickleScanMessage: string
                            child 6, pickleScanResult: string
                            child 7, primary: bool
                            child 8, scannedAt: string
                            child 9, sizeKB: double
                            child 10, type: string
                            child 11, virusScanResult: string
                    child 5, id: int64
                    child 6, images: list<item: struct<url: string>>
                        child 0, item: struct<url: string>
                            child 0, url: string
                    child 7, modelId: int64
                    child 8, name: string
                    child 9, trainedWords: list<item: null>
                        child 0, item: null
                    child 10, updatedAt: string
              poi: bool
              allowDerivatives: bool
              description: string
              nsfw: bool
              allowCommercialUse: string
              allowDifferentLicense: bool
              stats: struct<commentCount: int64, downloadCount: int64, favoriteCount: int64, rating: int64, ratingCount: int64>
                child 0, commentCount: int64
                child 1, downloadCount: int64
                child 2, favoriteCount: int64
                child 3, rating: int64
                child 4, ratingCount: int64
              type: string
              allowNoCredit: bool
              name: string
              creator: struct<image: string, username: string>
                child 0, image: string
                child 1, username: string
              to
              {'Tokenizer': Value(dtype='string', id=None), 'Model': Value(dtype='string', id=None), 'Title': Value(dtype='string', 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 14 new columns ({'id', 'tags', 'modelVersions', 'poi', 'allowDerivatives', 'description', 'nsfw', 'allowCommercialUse', 'allowDifferentLicense', 'stats', 'type', 'allowNoCredit', 'name', 'creator'}) and 3 missing columns ({'Tokenizer', 'Model', 'Title'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/crystantine/koleksiekstensi/miaoshouai-assistant/configs/controlnet.json (at revision 553ec588d84158dd0244bc58e86071ca602bb8a1)
              
              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)