Datasets:

---

itsalissonsilva

/

brazilian-companies-b3

like 1

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 11 new columns ({'País', 'Nome', 'Mínimo 52s', 'Beta', 'Setor', 'Moeda', 'Indústria', 'Máximo 52s', 'Valor de Mercado', 'EPS', 'P/L'}) and 177 missing columns ({'regularMarketPreviousClose', 'longName', 'regularMarketDayRange', 'sectorDisp', 'executiveTeam', 'fiftyTwoWeekLow', 'sourceInterval', 'twoHundredDayAverageChange', 'website', 'quickRatio', 'priceToBook', 'exchangeDataDelayedBy', 'nextFiscalYearEnd', 'twoHundredDayAverageChangePercent', 'shortName', 'marketState', 'revenuePerShare', 'marketCap', 'address1', 'debtToEquity', 'floatShares', 'tradeable', 'zip', 'governanceEpochDate', 'sharesOutstanding', 'trailingEps', 'SandP52WeekChange', 'timeZoneShortName', 'enterpriseValue', 'hasPrePostMarketData', 'targetHighPrice', 'returnOnAssets', 'lastFiscalYearEnd', 'industryKey', 'lastDividendDate', 'fiftyTwoWeekLowChangePercent', 'trailingPegRatio', 'fullTimeEmployees', 'exchangeTimezoneName', 'epsTrailingTwelveMonths', 'forwardEps', 'compensationAsOfEpochDate', 'lastDividendValue', 'nameChangeDate', 'regularMarketOpen', 'overallRisk', 'longBusinessSummary', 'priceEpsCurrentYear', 'heldPercentInstitutions', 'currentPrice', 'beta', 'averageAnalystRating', 'auditRisk', 'exDividendDate', 'customPriceAlertConfidence', 'regularMarketVolume', 'netIncomeToCommon', 'averageVolume10days', 'triggerable', 'fiftyDayAverageChange', 'gmtOffSetMilliseconds', 'boardRisk', 'cryptoTradeable', 'lastSplitFactor', 'grossMargins', 'fiftyTwoWeekHighChangePercent', 'operatingCashflow', 'returnOnEquity', 'regularMarketTime', 'heldPercentInsiders', 'twoHundredDayAverage', 'state', 'payoutRatio', 'enterpriseToRevenue', 'earningsQuarterlyGrowth', 'mostRecentQua
...
estampEnd', 'bidSize', 'targetLowPrice', 'shareHolderRightsRisk', 'volume', 'address2', 'targetMeanPrice', 'fullExchangeName', 'earningsGrowth', 'country', 'totalCashPerShare', 'industry', 'industryDisp', 'fiftyDayAverageChangePercent', 'firstTradeDateMilliseconds', 'timeZoneFullName', 'fiveYearAvgDividendYield', 'recommendationKey', 'trailingAnnualDividendRate', 'earningsCallTimestampEnd', 'symbol', 'numberOfAnalystOpinions', 'compensationRisk', 'trailingPE', 'dayLow', 'currency', 'open', 'esgPopulated', 'companyOfficers', 'ebitda', 'targetMedianPrice', 'fiftyDayAverage', 'regularMarketDayHigh', 'trailingAnnualDividendYield', 'dayHigh', 'exchangeTimezoneShortName', 'regularMarketChange', 'isEarningsDateEstimate', 'recommendationMean', 'currentRatio', 'totalDebt', 'earningsTimestamp', 'prevName', 'phone', 'corporateActions', 'sector', 'averageVolume', 'fiftyTwoWeekRange', 'dividendRate', 'priceToSalesTrailing12Months', 'previousClose', 'messageBoardId', 'bookValue', 'sectorKey', 'irWebsite', 'underlyingSymbol', 'regularMarketPrice', 'freeCashflow', 'epsForward', 'dividendYield', 'language', 'ask', 'quoteType', 'revenueGrowth', 'fax', 'earningsTimestampStart', 'priceHint', 'typeDisp', 'totalCash', 'operatingMargins', 'uuid', 'firstTradeDateEpochUtc', 'epsCurrentYear', 'exchange', 'maxAge', 'financialCurrency', 'forwardPE', 'askSize', 'ipoExpectedDate', 'ebitdaMargins', 'averageDailyVolume10Day', 'regularMarketDayLow', 'bid', 'fiftyTwoWeekHigh', 'grossProfits', 'lastSplitDate'}).

This happened while the csv dataset builder was generating data using

hf://datasets/itsalissonsilva/brazilian-companies-b3/b3_company_info_yfinance.csv (at revision 3570360011b236af1816bf567135573dd48d0937)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Ticker: string
              Nome: string
              Setor: string
              Indústria: string
              Valor de Mercado: double
              P/L: double
              EPS: double
              Beta: double
              Máximo 52s: double
              Mínimo 52s: double
              Moeda: string
              País: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1665
              to
              {'symbol': Value(dtype='string', id=None), 'shortName': Value(dtype='string', id=None), 'longName': Value(dtype='string', id=None), 'address1': Value(dtype='string', id=None), 'address2': Value(dtype='string', id=None), 'city': Value(dtype='string', id=None), 'state': Value(dtype='string', id=None), 'zip': Value(dtype='string', id=None), 'country': Value(dtype='string', id=None), 'phone': Value(dtype='string', id=None), 'website': Value(dtype='string', id=None), 'industry': Value(dtype='string', id=None), 'industryKey': Value(dtype='string', id=None), 'industryDisp': Value(dtype='string', id=None), 'sector': Value(dtype='string', id=None), 'sectorKey': Value(dtype='string', id=None), 'sectorDisp': Value(dtype='string', id=None), 'longBusinessSummary': Value(dtype='string', id=None), 'fullTimeEmployees': Value(dtype='float64', id=None), 'companyOfficers': Value(dtype='string', id=None), 'compensationAsOfEpochDate': Value(dtype='float64', id=None), 'irWebsite': Value(dtype='string', id=None), 'executiveTeam': Value(dtype='string', id=None), 'maxAge': Value(dtype='float64', id=None), 'priceHint': Value(dtype='float64', id=None), 'previousClose': Value(dtype='float64', id=None), 'open': Value(dtype='float64', id=None), 'dayLow': Value(dtype='float64', id=None), 'dayHigh': Value(dtype='float64', id=None), 'regularMarketPreviousClose': Value(dtype='float64', id=None), 'regularMarketOpen': Value(dtype='float64', id=None), 'regularMarketDayLow': Value(dtype='float64', id=None), 'regu
              ...
              Value(dtype='string', id=None), 'trailingPegRatio': Value(dtype='float64', id=None), 'Ticker': Value(dtype='string', id=None), 'underlyingSymbol': Value(dtype='string', id=None), 'uuid': Value(dtype='string', id=None), 'forwardPE': Value(dtype='float64', id=None), 'forwardEps': Value(dtype='float64', id=None), 'epsForward': Value(dtype='float64', id=None), 'prevName': Value(dtype='string', id=None), 'nameChangeDate': Value(dtype='string', id=None), 'targetHighPrice': Value(dtype='float64', id=None), 'targetLowPrice': Value(dtype='float64', id=None), 'targetMeanPrice': Value(dtype='float64', id=None), 'targetMedianPrice': Value(dtype='float64', id=None), 'numberOfAnalystOpinions': Value(dtype='float64', id=None), 'epsCurrentYear': Value(dtype='float64', id=None), 'priceEpsCurrentYear': Value(dtype='float64', id=None), 'ipoExpectedDate': Value(dtype='string', id=None), 'recommendationMean': Value(dtype='float64', id=None), 'averageAnalystRating': Value(dtype='string', id=None), 'fax': Value(dtype='string', id=None), 'auditRisk': Value(dtype='float64', id=None), 'boardRisk': Value(dtype='float64', id=None), 'compensationRisk': Value(dtype='float64', id=None), 'shareHolderRightsRisk': Value(dtype='float64', id=None), 'overallRisk': Value(dtype='float64', id=None), 'governanceEpochDate': Value(dtype='float64', id=None), 'firstTradeDateEpochUtc': Value(dtype='float64', id=None), 'timeZoneFullName': Value(dtype='string', id=None), 'timeZoneShortName': 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 1438, 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 11 new columns ({'País', 'Nome', 'Mínimo 52s', 'Beta', 'Setor', 'Moeda', 'Indústria', 'Máximo 52s', 'Valor de Mercado', 'EPS', 'P/L'}) and 177 missing columns ({'regularMarketPreviousClose', 'longName', 'regularMarketDayRange', 'sectorDisp', 'executiveTeam', 'fiftyTwoWeekLow', 'sourceInterval', 'twoHundredDayAverageChange', 'website', 'quickRatio', 'priceToBook', 'exchangeDataDelayedBy', 'nextFiscalYearEnd', 'twoHundredDayAverageChangePercent', 'shortName', 'marketState', 'revenuePerShare', 'marketCap', 'address1', 'debtToEquity', 'floatShares', 'tradeable', 'zip', 'governanceEpochDate', 'sharesOutstanding', 'trailingEps', 'SandP52WeekChange', 'timeZoneShortName', 'enterpriseValue', 'hasPrePostMarketData', 'targetHighPrice', 'returnOnAssets', 'lastFiscalYearEnd', 'industryKey', 'lastDividendDate', 'fiftyTwoWeekLowChangePercent', 'trailingPegRatio', 'fullTimeEmployees', 'exchangeTimezoneName', 'epsTrailingTwelveMonths', 'forwardEps', 'compensationAsOfEpochDate', 'lastDividendValue', 'nameChangeDate', 'regularMarketOpen', 'overallRisk', 'longBusinessSummary', 'priceEpsCurrentYear', 'heldPercentInstitutions', 'currentPrice', 'beta', 'averageAnalystRating', 'auditRisk', 'exDividendDate', 'customPriceAlertConfidence', 'regularMarketVolume', 'netIncomeToCommon', 'averageVolume10days', 'triggerable', 'fiftyDayAverageChange', 'gmtOffSetMilliseconds', 'boardRisk', 'cryptoTradeable', 'lastSplitFactor', 'grossMargins', 'fiftyTwoWeekHighChangePercent', 'operatingCashflow', 'returnOnEquity', 'regularMarketTime', 'heldPercentInsiders', 'twoHundredDayAverage', 'state', 'payoutRatio', 'enterpriseToRevenue', 'earningsQuarterlyGrowth', 'mostRecentQua
              ...
              estampEnd', 'bidSize', 'targetLowPrice', 'shareHolderRightsRisk', 'volume', 'address2', 'targetMeanPrice', 'fullExchangeName', 'earningsGrowth', 'country', 'totalCashPerShare', 'industry', 'industryDisp', 'fiftyDayAverageChangePercent', 'firstTradeDateMilliseconds', 'timeZoneFullName', 'fiveYearAvgDividendYield', 'recommendationKey', 'trailingAnnualDividendRate', 'earningsCallTimestampEnd', 'symbol', 'numberOfAnalystOpinions', 'compensationRisk', 'trailingPE', 'dayLow', 'currency', 'open', 'esgPopulated', 'companyOfficers', 'ebitda', 'targetMedianPrice', 'fiftyDayAverage', 'regularMarketDayHigh', 'trailingAnnualDividendYield', 'dayHigh', 'exchangeTimezoneShortName', 'regularMarketChange', 'isEarningsDateEstimate', 'recommendationMean', 'currentRatio', 'totalDebt', 'earningsTimestamp', 'prevName', 'phone', 'corporateActions', 'sector', 'averageVolume', 'fiftyTwoWeekRange', 'dividendRate', 'priceToSalesTrailing12Months', 'previousClose', 'messageBoardId', 'bookValue', 'sectorKey', 'irWebsite', 'underlyingSymbol', 'regularMarketPrice', 'freeCashflow', 'epsForward', 'dividendYield', 'language', 'ask', 'quoteType', 'revenueGrowth', 'fax', 'earningsTimestampStart', 'priceHint', 'typeDisp', 'totalCash', 'operatingMargins', 'uuid', 'firstTradeDateEpochUtc', 'epsCurrentYear', 'exchange', 'maxAge', 'financialCurrency', 'forwardPE', 'askSize', 'ipoExpectedDate', 'ebitdaMargins', 'averageDailyVolume10Day', 'regularMarketDayLow', 'bid', 'fiftyTwoWeekHigh', 'grossProfits', 'lastSplitDate'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/itsalissonsilva/brazilian-companies-b3/b3_company_info_yfinance.csv (at revision 3570360011b236af1816bf567135573dd48d0937)
              
              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)