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The dataset generation failed because of a cast error
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 2 new columns ({'Population', 'Country name'}) and 2 missing columns ({'Country', 'Life_expectancy'}).
This happened while the csv dataset builder was generating data using
hf://datasets/cos30049-safetywindy/air_quality_health/Population.csv (at revision d41288d114f8ce8695e6738f674b1040f30f09e7)
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 643, 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
Country_code: string
Country name: string
Year: int64
Population: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 733
to
{'Country': Value(dtype='string', id=None), 'Country_code': Value(dtype='string', id=None), 'Year': Value(dtype='int64', id=None), 'Life_expectancy': Value(dtype='float64', 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 1436, 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 1053, 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 2 new columns ({'Population', 'Country name'}) and 2 missing columns ({'Country', 'Life_expectancy'}).
This happened while the csv dataset builder was generating data using
hf://datasets/cos30049-safetywindy/air_quality_health/Population.csv (at revision d41288d114f8ce8695e6738f674b1040f30f09e7)
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Country string | Country_code string | Year int64 | Life_expectancy float64 |
|---|---|---|---|
Afghanistan | AFG | 1,950 | 27.73 |
Afghanistan | AFG | 1,951 | 27.96 |
Afghanistan | AFG | 1,952 | 28.45 |
Afghanistan | AFG | 1,953 | 28.93 |
Afghanistan | AFG | 1,954 | 29.23 |
Afghanistan | AFG | 1,955 | 29.92 |
Afghanistan | AFG | 1,956 | 30.41 |
Afghanistan | AFG | 1,957 | 30.95 |
Afghanistan | AFG | 1,958 | 31.51 |
Afghanistan | AFG | 1,959 | 32.04 |
Afghanistan | AFG | 1,960 | 32.53 |
Afghanistan | AFG | 1,961 | 33.07 |
Afghanistan | AFG | 1,962 | 33.55 |
Afghanistan | AFG | 1,963 | 34.02 |
Afghanistan | AFG | 1,964 | 34.49 |
Afghanistan | AFG | 1,965 | 34.95 |
Afghanistan | AFG | 1,966 | 35.45 |
Afghanistan | AFG | 1,967 | 35.92 |
Afghanistan | AFG | 1,968 | 36.42 |
Afghanistan | AFG | 1,969 | 36.91 |
Afghanistan | AFG | 1,970 | 37.42 |
Afghanistan | AFG | 1,971 | 37.92 |
Afghanistan | AFG | 1,972 | 38.44 |
Afghanistan | AFG | 1,973 | 39 |
Afghanistan | AFG | 1,974 | 39.55 |
Afghanistan | AFG | 1,975 | 40.1 |
Afghanistan | AFG | 1,976 | 40.65 |
Afghanistan | AFG | 1,977 | 41.23 |
Afghanistan | AFG | 1,978 | 40.27 |
Afghanistan | AFG | 1,979 | 39.09 |
Afghanistan | AFG | 1,980 | 39.62 |
Afghanistan | AFG | 1,981 | 40.16 |
Afghanistan | AFG | 1,982 | 37.77 |
Afghanistan | AFG | 1,983 | 38.19 |
Afghanistan | AFG | 1,984 | 33.33 |
Afghanistan | AFG | 1,985 | 33.55 |
Afghanistan | AFG | 1,986 | 39.4 |
Afghanistan | AFG | 1,987 | 39.84 |
Afghanistan | AFG | 1,988 | 43.96 |
Afghanistan | AFG | 1,989 | 45.16 |
Afghanistan | AFG | 1,990 | 45.97 |
Afghanistan | AFG | 1,991 | 46.66 |
Afghanistan | AFG | 1,992 | 47.6 |
Afghanistan | AFG | 1,993 | 51.47 |
Afghanistan | AFG | 1,994 | 51.49 |
Afghanistan | AFG | 1,995 | 52.54 |
Afghanistan | AFG | 1,996 | 53.24 |
Afghanistan | AFG | 1,997 | 53.63 |
Afghanistan | AFG | 1,998 | 52.94 |
Afghanistan | AFG | 1,999 | 54.85 |
Afghanistan | AFG | 2,000 | 55.3 |
Afghanistan | AFG | 2,001 | 55.8 |
Afghanistan | AFG | 2,002 | 56.45 |
Afghanistan | AFG | 2,003 | 57.34 |
Afghanistan | AFG | 2,004 | 57.94 |
Afghanistan | AFG | 2,005 | 58.36 |
Afghanistan | AFG | 2,006 | 58.68 |
Afghanistan | AFG | 2,007 | 59.11 |
Afghanistan | AFG | 2,008 | 59.85 |
Afghanistan | AFG | 2,009 | 60.36 |
Afghanistan | AFG | 2,010 | 60.85 |
Afghanistan | AFG | 2,011 | 61.42 |
Afghanistan | AFG | 2,012 | 61.92 |
Afghanistan | AFG | 2,013 | 62.42 |
Afghanistan | AFG | 2,014 | 62.55 |
Afghanistan | AFG | 2,015 | 62.66 |
Afghanistan | AFG | 2,016 | 63.14 |
Afghanistan | AFG | 2,017 | 63.02 |
Afghanistan | AFG | 2,018 | 63.08 |
Afghanistan | AFG | 2,019 | 63.56 |
Afghanistan | AFG | 2,020 | 62.58 |
Afghanistan | AFG | 2,021 | 61.98 |
Africa (UN) | null | 1,950 | 37.62 |
Africa (UN) | null | 1,951 | 37.93 |
Africa (UN) | null | 1,952 | 38.44 |
Africa (UN) | null | 1,953 | 38.92 |
Africa (UN) | null | 1,954 | 39.3 |
Africa (UN) | null | 1,955 | 39.8 |
Africa (UN) | null | 1,956 | 40.17 |
Africa (UN) | null | 1,957 | 40.01 |
Africa (UN) | null | 1,958 | 40.3 |
Africa (UN) | null | 1,959 | 41.28 |
Africa (UN) | null | 1,960 | 41.48 |
Africa (UN) | null | 1,961 | 41.87 |
Africa (UN) | null | 1,962 | 42.32 |
Africa (UN) | null | 1,963 | 42.78 |
Africa (UN) | null | 1,964 | 43.25 |
Africa (UN) | null | 1,965 | 43.44 |
Africa (UN) | null | 1,966 | 43.43 |
Africa (UN) | null | 1,967 | 43.65 |
Africa (UN) | null | 1,968 | 44.1 |
Africa (UN) | null | 1,969 | 44.32 |
Africa (UN) | null | 1,970 | 44.78 |
Africa (UN) | null | 1,971 | 45.32 |
Africa (UN) | null | 1,972 | 45.41 |
Africa (UN) | null | 1,973 | 46.15 |
Africa (UN) | null | 1,974 | 46.46 |
Africa (UN) | null | 1,975 | 46.9 |
Africa (UN) | null | 1,976 | 47.64 |
Africa (UN) | null | 1,977 | 48.16 |
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