Datasets:

fadingNA

/

CovidCases.csv

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 39 new columns ({'Youth 15-24', 'Child 0-14', 'Pop - Males', 'Pop - Females', 'Pop 60 - 64 years', 'Pop 80 - 84 years', 'Neighbourhood Id', 'Pop 75 - 79 years', 'Pop 65 - 69 years', 'Seniors 65 and over', 'Pop  25 - 29 years', 'Pop 40 - 44 years', 'Pop 30 - 34 years', '   Language - Russian', '   Language - Persian (Farsi)', '   Language - Portuguese', 'Pop 50 - 54 years', '   Language - Spanish', 'Pop 20 - 24 years', 'Pop 15 -19 years', 'Pop 35 - 39 years', 'Seniors 55 and over', '   Language - Chinese', '   Language - Urdu', 'Home Language Category', 'Pop 10 - 14 years', '   Language - Tagalog', 'Pop 70 - 74 years', 'Pop 85 years and over', '   Language - Italian', 'Total Area', 'Neighbourhood', 'Pop 0 - 4 years', 'Pop 45 - 49 years', '   Language - Tamil', 'Total Population', 'Pop 55 - 59 years', '   Language - Korean', 'Pop 5 - 9 years'}) and 15 missing columns ({'Client Gender', 'Classification', 'FSA', 'Source of Infection', 'Age Group', 'Assigned_ID', 'Reported Date', 'Ever Hospitalized', 'Ever in ICU', 'Neighbourhood Name', 'Episode Date', 'Ever Intubated', '_id', 'Outcome', 'Outbreak Associated'}).

This happened while the csv dataset builder was generating data using

hf://datasets/fadingNA/CovidCases.csv/WB-demographic.csv (at revision 86f234522d3e5d8ed72dce1d2b0f1dbc5cbf439d)

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 2011, 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
              Neighbourhood: string
              Neighbourhood Id: int64
              Total Area: double
              Total Population: int64
              Pop - Males: int64
              Pop - Females: int64
              Pop 0 - 4 years: int64
              Pop 5 - 9 years: int64
              Pop 10 - 14 years: int64
              Pop 15 -19 years: int64
              Pop 20 - 24 years: int64
              Pop  25 - 29 years: int64
              Pop 30 - 34 years: int64
              Pop 35 - 39 years: int64
              Pop 40 - 44 years: int64
              Pop 45 - 49 years: int64
              Pop 50 - 54 years: int64
              Pop 55 - 59 years: int64
              Pop 60 - 64 years: int64
              Pop 65 - 69 years: int64
              Pop 70 - 74 years: int64
              Pop 75 - 79 years: int64
              Pop 80 - 84 years: int64
              Pop 85 years and over: int64
              Seniors 55 and over: int64
              Seniors 65 and over: int64
              Child 0-14: int64
              Youth 15-24: int64
              Home Language Category: int64
                 Language - Chinese: int64
                 Language - Italian: int64
                 Language - Korean: int64
                 Language - Persian (Farsi): int64
                 Language - Portuguese: int64
                 Language - Russian: int64
                 Language - Spanish: int64
                 Language - Tagalog: int64
                 Language - Tamil: int64
                 Language - Urdu: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5413
              to
              {'_id': Value(dtype='int64', id=None), 'Assigned_ID': Value(dtype='int64', id=None), 'Outbreak Associated': Value(dtype='string', id=None), 'Age Group': Value(dtype='string', id=None), 'Neighbourhood Name': Value(dtype='string', id=None), 'FSA': Value(dtype='string', id=None), 'Source of Infection': Value(dtype='string', id=None), 'Classification': Value(dtype='string', id=None), 'Episode Date': Value(dtype='string', id=None), 'Reported Date': Value(dtype='string', id=None), 'Client Gender': Value(dtype='string', id=None), 'Outcome': Value(dtype='string', id=None), 'Ever Hospitalized': Value(dtype='string', id=None), 'Ever in ICU': Value(dtype='string', id=None), 'Ever Intubated': 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 39 new columns ({'Youth 15-24', 'Child 0-14', 'Pop - Males', 'Pop - Females', 'Pop 60 - 64 years', 'Pop 80 - 84 years', 'Neighbourhood Id', 'Pop 75 - 79 years', 'Pop 65 - 69 years', 'Seniors 65 and over', 'Pop  25 - 29 years', 'Pop 40 - 44 years', 'Pop 30 - 34 years', '   Language - Russian', '   Language - Persian (Farsi)', '   Language - Portuguese', 'Pop 50 - 54 years', '   Language - Spanish', 'Pop 20 - 24 years', 'Pop 15 -19 years', 'Pop 35 - 39 years', 'Seniors 55 and over', '   Language - Chinese', '   Language - Urdu', 'Home Language Category', 'Pop 10 - 14 years', '   Language - Tagalog', 'Pop 70 - 74 years', 'Pop 85 years and over', '   Language - Italian', 'Total Area', 'Neighbourhood', 'Pop 0 - 4 years', 'Pop 45 - 49 years', '   Language - Tamil', 'Total Population', 'Pop 55 - 59 years', '   Language - Korean', 'Pop 5 - 9 years'}) and 15 missing columns ({'Client Gender', 'Classification', 'FSA', 'Source of Infection', 'Age Group', 'Assigned_ID', 'Reported Date', 'Ever Hospitalized', 'Ever in ICU', 'Neighbourhood Name', 'Episode Date', 'Ever Intubated', '_id', 'Outcome', 'Outbreak Associated'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/fadingNA/CovidCases.csv/WB-demographic.csv (at revision 86f234522d3e5d8ed72dce1d2b0f1dbc5cbf439d)
              
              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)