Datasets:

---

mabera

/

nigeria-poverty-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 11 new columns ({'Admin 1 PCode', 'Survey', 'Start Date', 'MPI', 'Admin 1 Name', 'In Severe Poverty', 'Intensity of Deprivation', 'Country ISO3', 'Vulnerable to Poverty', 'Headcount Ratio', 'End Date'}) and 8 missing columns ({'index_name', 'year', 'value', 'country_code', 'country_name', 'indicator_id', 'index_id', 'indicator_name'}).

This happened while the csv dataset builder was generating data using

hf://datasets/mabera/nigeria-poverty-dataset/nga_mpi.csv (at revision c73b2d39f7c4500753aba3b384ca9247f2881b3c), ['hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/hdro_indicators_aggregates_nga.csv', 'hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/hdro_indicators_nga.csv', 'hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/nga_mpi.csv', 'hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/nga_mpi_trends.csv', 'hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/poverty_nga.csv']

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 1837, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Country ISO3: string
              Admin 1 PCode: string
              Admin 1 Name: string
              MPI: double
              Headcount Ratio: double
              Intensity of Deprivation: double
              Vulnerable to Poverty: double
              In Severe Poverty: double
              Survey: string
              Start Date: string
              End Date: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1647
              to
              {'country_code': Value('string'), 'country_name': Value('string'), 'indicator_id': Value('string'), 'indicator_name': Value('string'), 'index_id': Value('string'), 'index_name': Value('string'), 'value': Value('float64'), 'year': Value('int64')}
              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 1361, 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 940, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, 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 1839, 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 ({'Admin 1 PCode', 'Survey', 'Start Date', 'MPI', 'Admin 1 Name', 'In Severe Poverty', 'Intensity of Deprivation', 'Country ISO3', 'Vulnerable to Poverty', 'Headcount Ratio', 'End Date'}) and 8 missing columns ({'index_name', 'year', 'value', 'country_code', 'country_name', 'indicator_id', 'index_id', 'indicator_name'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/mabera/nigeria-poverty-dataset/nga_mpi.csv (at revision c73b2d39f7c4500753aba3b384ca9247f2881b3c), ['hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/hdro_indicators_aggregates_nga.csv', 'hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/hdro_indicators_nga.csv', 'hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/nga_mpi.csv', 'hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/nga_mpi_trends.csv', 'hf://datasets/mabera/nigeria-poverty-dataset@c73b2d39f7c4500753aba3b384ca9247f2881b3c/poverty_nga.csv']
              
              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)