Datasets:

---

synavate

/

medical_records_did

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 24 new columns ({'9', '5', '17', '20', '7', '22', '4', '13', '6', '18', '16', '3', '8', '19', '21', '14', '1', '23', '0', '2', '11', '10', '12', '15'}) and 25 missing columns ({'Teenhome', 'NumWebVisitsMonth', 'NumCatalogPurchases', 'AcceptedCmp1', 'MntFruits', 'AcceptedCmp2', 'target', 'Income', 'MntMeatProducts', 'Education', 'NumStorePurchases', 'NumDealsPurchases', 'MntGoldProds', 'AcceptedCmp5', 'AcceptedCmp4', 'Age', 'AcceptedCmp3', 'Kidhome', 'MntWines', 'MntFishProducts', 'Recency', 'MntSweetProducts', 'Complain', 'NumWebPurchases', 'Marital_Status'}).

This happened while the csv dataset builder was generating data using

hf://datasets/synavate/medical_records_did/verida-differential-privacy/data/processed/PII_Customer_Personality_Analysis/data/2024_08_25_PII_Customer_Personality_Analysis_v0.1.csv (at revision ab59a830b1ada14892570e7b92c399557f9d5dcc)

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 2013, 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
              Unnamed: 0: int64
              0: double
              1: double
              2: double
              3: double
              4: double
              5: double
              6: double
              7: double
              8: double
              9: double
              10: double
              11: double
              12: double
              13: double
              14: double
              15: double
              16: double
              17: double
              18: double
              19: double
              20: double
              21: double
              22: double
              23: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2879
              to
              {'Unnamed: 0': Value(dtype='string', id=None), 'Education': Value(dtype='float64', id=None), 'Marital_Status': Value(dtype='float64', id=None), 'Income': Value(dtype='float64', id=None), 'Kidhome': Value(dtype='float64', id=None), 'Teenhome': Value(dtype='float64', id=None), 'Recency': Value(dtype='float64', id=None), 'MntWines': Value(dtype='float64', id=None), 'MntFruits': Value(dtype='float64', id=None), 'MntMeatProducts': Value(dtype='float64', id=None), 'MntFishProducts': Value(dtype='float64', id=None), 'MntSweetProducts': Value(dtype='float64', id=None), 'MntGoldProds': Value(dtype='float64', id=None), 'NumDealsPurchases': Value(dtype='float64', id=None), 'NumWebPurchases': Value(dtype='float64', id=None), 'NumCatalogPurchases': Value(dtype='float64', id=None), 'NumStorePurchases': Value(dtype='float64', id=None), 'NumWebVisitsMonth': Value(dtype='float64', id=None), 'AcceptedCmp3': Value(dtype='float64', id=None), 'AcceptedCmp4': Value(dtype='float64', id=None), 'AcceptedCmp5': Value(dtype='float64', id=None), 'AcceptedCmp1': Value(dtype='float64', id=None), 'AcceptedCmp2': Value(dtype='float64', id=None), 'Complain': Value(dtype='float64', id=None), 'target': Value(dtype='float64', id=None), 'Age': Value(dtype='float64', 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 1529, 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 1154, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2015, 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 24 new columns ({'9', '5', '17', '20', '7', '22', '4', '13', '6', '18', '16', '3', '8', '19', '21', '14', '1', '23', '0', '2', '11', '10', '12', '15'}) and 25 missing columns ({'Teenhome', 'NumWebVisitsMonth', 'NumCatalogPurchases', 'AcceptedCmp1', 'MntFruits', 'AcceptedCmp2', 'target', 'Income', 'MntMeatProducts', 'Education', 'NumStorePurchases', 'NumDealsPurchases', 'MntGoldProds', 'AcceptedCmp5', 'AcceptedCmp4', 'Age', 'AcceptedCmp3', 'Kidhome', 'MntWines', 'MntFishProducts', 'Recency', 'MntSweetProducts', 'Complain', 'NumWebPurchases', 'Marital_Status'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/synavate/medical_records_did/verida-differential-privacy/data/processed/PII_Customer_Personality_Analysis/data/2024_08_25_PII_Customer_Personality_Analysis_v0.1.csv (at revision ab59a830b1ada14892570e7b92c399557f9d5dcc)
              
              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)