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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 10 new columns ({'141625.3061145353', '21.399340161445256', '4652821737.943896', '45.82163808922469', '37.209650397870114', '18838.067781649395', '130244.93347364516', '90.42604944492483', '28496.24933585997', '136313.55164221226'}) and 10 missing columns ({'43.69525498735485', '4236826951.9667096', '21.40150372457035', '36.441596548089294', '126687.76103854572', '95.5500534012956', '19713.617115185836', '27201.244973085075', '132617.07024846325', '132792.14746467368'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Dodero1305/machine_translation/MFEA_tune.csv (at revision f028b5ceb8d82f7690f9bb55b344f37be1898c20)

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
              130244.93347364516: double
              141625.3061145353: double
              136313.55164221226: double
              45.82163808922469: double
              4652821737.943896: double
              21.399340161445256: double
              90.42604944492483: double
              18838.067781649395: double
              37.209650397870114: double
              28496.24933585997: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1621
              to
              {'126687.76103854572': Value(dtype='float64', id=None), '132792.14746467368': Value(dtype='float64', id=None), '132617.07024846325': Value(dtype='float64', id=None), '43.69525498735485': Value(dtype='float64', id=None), '4236826951.9667096': Value(dtype='float64', id=None), '21.40150372457035': Value(dtype='float64', id=None), '95.5500534012956': Value(dtype='float64', id=None), '19713.617115185836': Value(dtype='float64', id=None), '36.441596548089294': Value(dtype='float64', id=None), '27201.244973085075': 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 1324, 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 938, 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 10 new columns ({'141625.3061145353', '21.399340161445256', '4652821737.943896', '45.82163808922469', '37.209650397870114', '18838.067781649395', '130244.93347364516', '90.42604944492483', '28496.24933585997', '136313.55164221226'}) and 10 missing columns ({'43.69525498735485', '4236826951.9667096', '21.40150372457035', '36.441596548089294', '126687.76103854572', '95.5500534012956', '19713.617115185836', '27201.244973085075', '132617.07024846325', '132792.14746467368'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Dodero1305/machine_translation/MFEA_tune.csv (at revision f028b5ceb8d82f7690f9bb55b344f37be1898c20)
              
              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)

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126687.76103854572
float64
132792.14746467368
float64
132617.07024846325
float64
43.69525498735485
float64
4236826951.9667096
float64
21.40150372457035
float64
95.5500534012956
float64
19713.617115185836
float64
36.441596548089294
float64
27201.244973085075
float64
125,984.503578
132,792.147465
132,617.070248
43.68874
4,218,235,173.568497
21.401504
95.550053
19,441.293976
35.94362
26,951.561035
125,984.503578
132,668.781712
131,563.619498
43.68874
4,218,235,173.568497
21.362827
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26.498184
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125,984.503578
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26.498184
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42.408725
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99,025.798732
127,604.549538
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17,623.387449
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25,813.772339
99,025.798732
127,604.549538
96,558.16237
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98,676.292015
102,714.653005
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25,376.087192
91,654.947507
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93,355.003939
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