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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 1 new columns ({'region_id'})
This happened while the csv dataset builder was generating data using
hf://datasets/Hahad14/LitPop/Lit_Pop_norm_v1/Lit/Lit_norm_30arcsec_CHE.csv (at revision 7cfaaa89f5ce50f462b56b674849fb42761b4be0)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
value: double
latitude: double
longitude: double
region_id: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 725
to
{'value': Value(dtype='float64', id=None), 'latitude': Value(dtype='float64', id=None), 'longitude': 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 1415, 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 991, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, 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 1 new columns ({'region_id'})
This happened while the csv dataset builder was generating data using
hf://datasets/Hahad14/LitPop/Lit_Pop_norm_v1/Lit/Lit_norm_30arcsec_CHE.csv (at revision 7cfaaa89f5ce50f462b56b674849fb42761b4be0)
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.
value float64 | latitude float64 | longitude float64 |
|---|---|---|
0 | -25.529167 | 112.920833 |
0 | -25.5375 | 112.920833 |
0 | -25.570833 | 112.920833 |
0 | -25.579167 | 112.920833 |
0 | -25.5875 | 112.920833 |
0 | -25.595833 | 112.920833 |
0 | -25.604167 | 112.920833 |
0 | -25.6125 | 112.920833 |
0 | -25.620833 | 112.920833 |
0 | -25.629167 | 112.920833 |
0 | -25.5125 | 112.929167 |
0 | -25.520833 | 112.929167 |
0 | -25.529167 | 112.929167 |
0 | -25.5375 | 112.929167 |
0 | -25.545833 | 112.929167 |
0 | -25.554167 | 112.929167 |
0 | -25.5625 | 112.929167 |
0 | -25.570833 | 112.929167 |
0 | -25.579167 | 112.929167 |
0 | -25.5875 | 112.929167 |
0 | -25.595833 | 112.929167 |
0 | -25.604167 | 112.929167 |
0 | -25.6125 | 112.929167 |
0 | -25.620833 | 112.929167 |
0 | -25.629167 | 112.929167 |
0 | -25.6375 | 112.929167 |
0 | -25.645833 | 112.929167 |
0 | -25.504167 | 112.9375 |
0 | -25.5125 | 112.9375 |
0 | -25.520833 | 112.9375 |
0 | -25.529167 | 112.9375 |
0 | -25.5375 | 112.9375 |
0 | -25.545833 | 112.9375 |
0 | -25.554167 | 112.9375 |
0 | -25.5625 | 112.9375 |
0 | -25.570833 | 112.9375 |
0 | -25.579167 | 112.9375 |
0 | -25.5875 | 112.9375 |
0 | -25.595833 | 112.9375 |
0 | -25.604167 | 112.9375 |
0 | -25.6125 | 112.9375 |
0 | -25.620833 | 112.9375 |
0 | -25.629167 | 112.9375 |
0 | -25.6375 | 112.9375 |
0 | -25.645833 | 112.9375 |
0 | -25.654167 | 112.9375 |
0 | -25.6625 | 112.9375 |
0 | -25.495833 | 112.945833 |
0 | -25.504167 | 112.945833 |
0 | -25.5125 | 112.945833 |
0 | -25.520833 | 112.945833 |
0 | -25.529167 | 112.945833 |
0 | -25.5375 | 112.945833 |
0 | -25.545833 | 112.945833 |
0 | -25.554167 | 112.945833 |
0 | -25.5625 | 112.945833 |
0 | -25.570833 | 112.945833 |
0 | -25.579167 | 112.945833 |
0 | -25.5875 | 112.945833 |
0 | -25.595833 | 112.945833 |
0 | -25.604167 | 112.945833 |
0 | -25.6125 | 112.945833 |
0 | -25.620833 | 112.945833 |
0 | -25.629167 | 112.945833 |
0 | -25.6375 | 112.945833 |
0 | -25.645833 | 112.945833 |
0 | -25.654167 | 112.945833 |
0 | -25.6625 | 112.945833 |
0 | -25.670833 | 112.945833 |
0 | -25.679167 | 112.945833 |
0 | -25.4875 | 112.954167 |
0 | -25.495833 | 112.954167 |
0 | -25.504167 | 112.954167 |
0 | -25.5125 | 112.954167 |
0 | -25.520833 | 112.954167 |
0 | -25.529167 | 112.954167 |
0 | -25.5375 | 112.954167 |
0 | -25.545833 | 112.954167 |
0 | -25.554167 | 112.954167 |
0 | -25.5625 | 112.954167 |
0 | -25.570833 | 112.954167 |
0 | -25.579167 | 112.954167 |
0 | -25.5875 | 112.954167 |
0 | -25.595833 | 112.954167 |
0 | -25.604167 | 112.954167 |
0 | -25.6125 | 112.954167 |
0 | -25.620833 | 112.954167 |
0 | -25.629167 | 112.954167 |
0 | -25.6375 | 112.954167 |
0 | -25.645833 | 112.954167 |
0 | -25.654167 | 112.954167 |
0 | -25.6625 | 112.954167 |
0 | -25.670833 | 112.954167 |
0 | -25.679167 | 112.954167 |
0 | -25.6875 | 112.954167 |
0 | -25.695833 | 112.954167 |
0 | -25.4875 | 112.9625 |
0 | -25.495833 | 112.9625 |
0 | -25.504167 | 112.9625 |
0 | -25.5125 | 112.9625 |
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