Datasets:

---

mahfuzmee-eng

/

Global-Solar-Position-Dataset

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 19 new columns ({'month_name', 'week_of_year', 'year', 'day_of_year', 'equation_of_time_min', 'is_weekend', 'season_north', 'date_id', 'season_south', 'is_leap_year', 'full_date', 'quarter', 'decade', 'sin_day', 'month', 'cos_day', 'solar_declination_deg', 'day_name', 'day'}) and 18 missing columns ({'coastal_proximity', 'country_id', 'avg_elevation_m', 'continent', 'population_thousands', 'capital_lat', 'country_name', 'is_dst_applicable', 'climate_zone', 'iso_code', 'capital_lon', 'timezone', 'country_lon', 'country_lat', 'solar_irradiance_class', 'utc_offset', 'hemisphere', 'capital_city'}).

This happened while the csv dataset builder was generating data using

zip://02_date_dimension.csv::/tmp/hf-datasets-cache/medium/datasets/18862974319119-config-parquet-and-info-mahfuzmee-eng-Global-Sola-4b523e45/hub/datasets--mahfuzmee-eng--Global-Solar-Position-Dataset/snapshots/a36f974cd22bccb218a72853bf91a8cf5e0b3f9e/Global Solar Position Dataset.zip, [/tmp/hf-datasets-cache/medium/datasets/18862974319119-config-parquet-and-info-mahfuzmee-eng-Global-Sola-4b523e45/hub/datasets--mahfuzmee-eng--Global-Solar-Position-Dataset/snapshots/a36f974cd22bccb218a72853bf91a8cf5e0b3f9e/Global Solar Position Dataset.zip (origin=hf://datasets/mahfuzmee-eng/Global-Solar-Position-Dataset@a36f974cd22bccb218a72853bf91a8cf5e0b3f9e/Global Solar Position Dataset.zip)]

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              date_id: int64
              full_date: string
              day: int64
              month: int64
              year: int64
              day_of_year: int64
              week_of_year: int64
              quarter: int64
              day_name: string
              month_name: string
              is_weekend: int64
              is_leap_year: int64
              season_north: string
              season_south: string
              sin_day: double
              cos_day: double
              solar_declination_deg: double
              equation_of_time_min: double
              decade: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2503
              to
              {'country_id': Value('int64'), 'country_name': Value('string'), 'iso_code': Value('string'), 'capital_city': Value('string'), 'capital_lat': Value('float64'), 'capital_lon': Value('float64'), 'timezone': Value('string'), 'utc_offset': Value('float64'), 'continent': Value('string'), 'country_lat': Value('float64'), 'country_lon': Value('float64'), 'climate_zone': Value('string'), 'avg_elevation_m': Value('int64'), 'population_thousands': Value('int64'), 'hemisphere': Value('string'), 'is_dst_applicable': Value('int64'), 'coastal_proximity': Value('string'), 'solar_irradiance_class': Value('string')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, 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 19 new columns ({'month_name', 'week_of_year', 'year', 'day_of_year', 'equation_of_time_min', 'is_weekend', 'season_north', 'date_id', 'season_south', 'is_leap_year', 'full_date', 'quarter', 'decade', 'sin_day', 'month', 'cos_day', 'solar_declination_deg', 'day_name', 'day'}) and 18 missing columns ({'coastal_proximity', 'country_id', 'avg_elevation_m', 'continent', 'population_thousands', 'capital_lat', 'country_name', 'is_dst_applicable', 'climate_zone', 'iso_code', 'capital_lon', 'timezone', 'country_lon', 'country_lat', 'solar_irradiance_class', 'utc_offset', 'hemisphere', 'capital_city'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://02_date_dimension.csv::/tmp/hf-datasets-cache/medium/datasets/18862974319119-config-parquet-and-info-mahfuzmee-eng-Global-Sola-4b523e45/hub/datasets--mahfuzmee-eng--Global-Solar-Position-Dataset/snapshots/a36f974cd22bccb218a72853bf91a8cf5e0b3f9e/Global Solar Position Dataset.zip, [/tmp/hf-datasets-cache/medium/datasets/18862974319119-config-parquet-and-info-mahfuzmee-eng-Global-Sola-4b523e45/hub/datasets--mahfuzmee-eng--Global-Solar-Position-Dataset/snapshots/a36f974cd22bccb218a72853bf91a8cf5e0b3f9e/Global Solar Position Dataset.zip (origin=hf://datasets/mahfuzmee-eng/Global-Solar-Position-Dataset@a36f974cd22bccb218a72853bf91a8cf5e0b3f9e/Global Solar Position Dataset.zip)]
              
              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)