Datasets:

---

abdullahkazimov

/

AI-GAME-Data

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 1 new columns ({'probability_matrix'}) and 42 missing columns ({'O', 'ACCOUNTNUMBER', 'BIC', 'STREET', 'CREDITCARDNUMBER', 'IBAN', 'JOBSECTOR', 'IDCARD', 'SSN', 'LASTNAME', 'DEVICEIDENTIFIERS', 'CURRENCY', 'URL', 'MEASUREMENTUNIT', 'MASKEDSEQUENCE', 'CITY', 'TITLE', 'EMAIL', 'MIDDLENAME', 'DRIVERLICENSE', 'CREDITCARDCVV', 'COUNTY', 'USERNAME', 'document_id', 'SECONDARYADDRESS', 'ZIPCODE', 'confidence', 'PASSWORD', 'VEHICLEIDENTIFIERS', 'STATE', 'PASSPORT', 'BUILDINGNUMBER', 'GEOLOCATION', 'JOBPOSITION', 'TIMEDATE', 'COUNTRY', 'FIRSTNAME', 'ORGANIZATION', 'mask_index', 'LANDMARK', 'PHONENUMBER', 'AMOUNT'}).

This happened while the json dataset builder was generating data using

hf://datasets/abdullahkazimov/AI-GAME-Data/evaluation_results/PII Phase 1 (146k)/83k/results.json (at revision 933d348e7242893e61058744595bc79c43d3c29d)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              true_label: string
              predicted_label: string
              prediction: string
              source_text: string
              value: string
              start: int64
              end: int64
              probability_matrix: list<item: struct<B-ACCOUNTNUMBER: double, B-AMOUNT: double, B-BIC: double, B-BUILDINGNUMBER: double, B-CITY: double, B-COUNTRY: double, B-COUNTY: double, B-CREDITCARDCVV: double, B-CREDITCARDNUMBER: double, B-CURRENCY: double, B-DEVICEIDENTIFIERS: double, B-DRIVERLICENSE: double, B-EMAIL: double, B-FIRSTNAME: double, B-GEOLOCATION: double, B-IBAN: double, B-IDCARD: double, B-JOBPOSITION: double, B-JOBSECTOR: double, B-LANDMARK: double, B-LASTNAME: double, B-MASKEDSEQUENCE: double, B-MEASUREMENTUNIT: double, B-MIDDLENAME: double, B-ORGANIZATION: double, B-PASSPORT: double, B-PASSWORD: double, B-PHONENUMBER: double, B-SECONDARYADDRESS: double, B-SSN: double, B-STATE: double, B-STREET: double, B-TIMEDATE: double, B-TITLE: double, B-URL: double, B-USERNAME: double, B-VEHICLEIDENTIFIERS: double, B-ZIPCODE: double, I-ACCOUNTNUMBER: double, I-AMOUNT: double, I-BIC: double, I-BUILDINGNUMBER: double, I-CITY: double, I-COUNTRY: double, I-COUNTY: double, I-CREDITCARDCVV: double, I-CREDITCARDNUMBER: double, I-CURRENCY: double, I-DEVICEIDENTIFIERS: double, I-DRIVERLICENSE: double, I-EMAIL: double, I-FIRSTNAME: double, I-GEOLOCATION: double, I-IBAN: double, I-IDCARD: double, I-JOBPOSITION: double, I-JOBSECTOR: double, I-LANDMARK: double, I-LASTNAME: double, I-MASKEDSEQUENCE: double, I-MEASUREMENTUNIT: double, I-MIDDLENAME: double, I-ORGANIZATION: doub
              ...
              double
                    child 39, I-AMOUNT: double
                    child 40, I-BIC: double
                    child 41, I-BUILDINGNUMBER: double
                    child 42, I-CITY: double
                    child 43, I-COUNTRY: double
                    child 44, I-COUNTY: double
                    child 45, I-CREDITCARDCVV: double
                    child 46, I-CREDITCARDNUMBER: double
                    child 47, I-CURRENCY: double
                    child 48, I-DEVICEIDENTIFIERS: double
                    child 49, I-DRIVERLICENSE: double
                    child 50, I-EMAIL: double
                    child 51, I-FIRSTNAME: double
                    child 52, I-GEOLOCATION: double
                    child 53, I-IBAN: double
                    child 54, I-IDCARD: double
                    child 55, I-JOBPOSITION: double
                    child 56, I-JOBSECTOR: double
                    child 57, I-LANDMARK: double
                    child 58, I-LASTNAME: double
                    child 59, I-MASKEDSEQUENCE: double
                    child 60, I-MEASUREMENTUNIT: double
                    child 61, I-MIDDLENAME: double
                    child 62, I-ORGANIZATION: double
                    child 63, I-PASSPORT: double
                    child 64, I-PASSWORD: double
                    child 65, I-PHONENUMBER: double
                    child 66, I-SECONDARYADDRESS: double
                    child 67, I-SSN: double
                    child 68, I-STATE: double
                    child 69, I-STREET: double
                    child 70, I-TIMEDATE: double
                    child 71, I-TITLE: double
                    child 72, I-URL: double
                    child 73, I-USERNAME: double
                    child 74, I-VEHICLEIDENTIFIERS: double
                    child 75, I-ZIPCODE: double
                    child 76, O: double
                    child 77, value: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1091
              to
              {'value': Value('string'), 'predicted_label': Value('string'), 'confidence': Value('float64'), 'start': Value('int64'), 'end': Value('int64'), 'mask_index': Value('int64'), 'true_label': Value('string'), 'O': Value('float64'), 'prediction': Value('string'), 'source_text': Value('string'), 'document_id': Value('int64'), 'BUILDINGNUMBER': Value('float64'), 'STREET': Value('float64'), 'CITY': Value('float64'), 'STATE': Value('float64'), 'ZIPCODE': Value('float64'), 'SECONDARYADDRESS': Value('float64'), 'MASKEDSEQUENCE': Value('float64'), 'USERNAME': Value('float64'), 'TIMEDATE': Value('float64'), 'PHONENUMBER': Value('float64'), 'JOBSECTOR': Value('float64'), 'FIRSTNAME': Value('float64'), 'JOBPOSITION': Value('float64'), 'CURRENCY': Value('float64'), 'ORGANIZATION': Value('float64'), 'CREDITCARDCVV': Value('float64'), 'CREDITCARDNUMBER': Value('float64'), 'TITLE': Value('float64'), 'LASTNAME': Value('float64'), 'ACCOUNTNUMBER': Value('float64'), 'COUNTRY': Value('float64'), 'AMOUNT': Value('float64'), 'SSN': Value('float64'), 'IDCARD': Value('float64'), 'DRIVERLICENSE': Value('float64'), 'PASSPORT': Value('float64'), 'DEVICEIDENTIFIERS': Value('float64'), 'VEHICLEIDENTIFIERS': Value('float64'), 'LANDMARK': Value('float64'), 'EMAIL': Value('float64'), 'PASSWORD': Value('float64'), 'MIDDLENAME': Value('float64'), 'COUNTY': Value('float64'), 'URL': Value('float64'), 'GEOLOCATION': Value('float64'), 'MEASUREMENTUNIT': Value('float64'), 'BIC': Value('float64'), 'IBAN': Value('float64')}
              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 1451, 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 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 1833, 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 1 new columns ({'probability_matrix'}) and 42 missing columns ({'O', 'ACCOUNTNUMBER', 'BIC', 'STREET', 'CREDITCARDNUMBER', 'IBAN', 'JOBSECTOR', 'IDCARD', 'SSN', 'LASTNAME', 'DEVICEIDENTIFIERS', 'CURRENCY', 'URL', 'MEASUREMENTUNIT', 'MASKEDSEQUENCE', 'CITY', 'TITLE', 'EMAIL', 'MIDDLENAME', 'DRIVERLICENSE', 'CREDITCARDCVV', 'COUNTY', 'USERNAME', 'document_id', 'SECONDARYADDRESS', 'ZIPCODE', 'confidence', 'PASSWORD', 'VEHICLEIDENTIFIERS', 'STATE', 'PASSPORT', 'BUILDINGNUMBER', 'GEOLOCATION', 'JOBPOSITION', 'TIMEDATE', 'COUNTRY', 'FIRSTNAME', 'ORGANIZATION', 'mask_index', 'LANDMARK', 'PHONENUMBER', 'AMOUNT'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/abdullahkazimov/AI-GAME-Data/evaluation_results/PII Phase 1 (146k)/83k/results.json (at revision 933d348e7242893e61058744595bc79c43d3c29d)
              
              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)