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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 4 new columns ({'Na2O_wt%', 'ID', 'S_ppm', 'Мо_ppm'}) and 2 missing columns ({'X', 'Y'}).

This happened while the csv dataset builder was generating data using

hf://datasets/kiarash13p/Tallberg/Tallberg Na2O Data.csv (at revision 6220f41272f5dc3c6ffa33bdc0ea4d8be7dee38d)

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
              ID: string
              Na2O_wt%: double
              S_ppm: int64
              Cu_ppm: int64
              Мо_ppm: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 830
              to
              {'X': Value(dtype='int64', id=None), 'Y': Value(dtype='int64', id=None), 'Cu_ppm': 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 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 4 new columns ({'Na2O_wt%', 'ID', 'S_ppm', 'Мо_ppm'}) and 2 missing columns ({'X', 'Y'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/kiarash13p/Tallberg/Tallberg Na2O Data.csv (at revision 6220f41272f5dc3c6ffa33bdc0ea4d8be7dee38d)
              
              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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X
int64
Y
int64
Cu_ppm
float64
1,674,518
7,249,382
12.5
1,673,483
7,246,086
4.8
1,672,308
7,248,744
3.7
1,673,975
7,244,180
3.5
1,672,129
7,243,594
2.2
1,669,868
7,243,710
5.2
1,670,692
7,247,144
2.9
1,671,932
7,225,441
8.5
1,673,597
7,228,860
10.3
1,673,088
7,231,142
11.5
1,671,108
7,230,450
3.7
1,669,814
7,233,632
4.8
1,669,864
7,236,011
8.4
1,670,698
7,238,661
4.7
1,673,153
7,239,506
7.5
1,672,437
7,236,387
6.6
1,674,246
7,233,183
6.9
1,671,941
7,233,994
6.1
1,670,123
7,228,819
7
1,673,030
7,240,770
4.7
1,671,278
7,241,964
6.7
1,673,894
7,251,282
6.5
1,671,349
7,251,078
7.9
1,700,799
7,213,442
20.6
1,702,755
7,213,935
19
1,701,891
7,216,618
16.7
1,701,336
7,219,379
4.7
1,700,915
7,221,081
3.5
1,705,495
7,214,055
8.9
1,704,655
7,216,238
12.7
1,708,755
7,214,789
3.7
1,707,506
7,216,804
10.2
1,709,198
7,223,932
3.1
1,701,671
7,223,749
3.3
1,704,295
7,224,023
3.9
1,703,073
7,221,451
12.3
1,706,034
7,220,882
5.5
1,706,827
7,222,760
5.6
1,709,029
7,221,619
4.8
1,711,216
7,221,954
3.9
1,711,806
7,224,205
5.3
1,713,883
7,224,064
5.6
1,716,090
7,224,019
3.7
1,713,096
7,221,491
3.2
1,711,546
7,218,636
4.9
1,713,410
7,218,343
4.5
1,709,412
7,219,052
4.6
1,707,060
7,219,181
10.2
1,704,359
7,219,662
3.3
1,708,714
7,212,118
8
1,724,004
7,221,674
11.3
1,724,245
7,224,382
11.4
1,720,710
7,224,151
4.9
1,718,993
7,218,778
7.2
1,724,280
7,215,979
11.8
1,716,321
7,219,444
5.1
1,716,655
7,216,796
2.9
1,722,649
7,213,264
11.6
1,720,302
7,213,408
5.9
1,717,592
7,213,808
2.5
1,713,683
7,215,769
4.1
1,714,535
7,213,901
5.8
1,711,135
7,214,375
4.4
1,675,588
7,226,718
10
1,678,836
7,226,846
8.3
1,682,030
7,226,998
10.1
1,677,995
7,231,375
6.3
1,679,314
7,229,374
4.8
1,683,826
7,226,855
7.3
1,684,237
7,228,908
5.5
1,686,279
7,226,362
7.2
1,681,676
7,233,395
6.3
1,683,691
7,231,368
6.8
1,682,189
7,229,349
11.1
1,678,540
7,245,932
5.6
1,682,855
7,243,662
5.3
1,676,411
7,241,448
2.8
1,675,873
7,239,714
9.4
1,675,545
7,231,513
6.9
1,676,183
7,229,532
7.9
1,675,667
7,236,178
6.5
1,676,814
7,233,801
8.4
1,679,298
7,233,903
7.4
1,681,055
7,231,326
4.7
1,677,925
7,236,514
11.3
1,680,277
7,235,470
5.2
1,684,483
7,233,704
8.4
1,683,863
7,236,749
6.2
1,681,178
7,238,896
6.1
1,686,553
7,235,923
8
1,686,934
7,238,600
7.3
1,683,342
7,246,235
7.8
1,685,439
7,240,880
5.2
1,685,581
7,244,141
6.1
1,687,312
7,241,168
5.3
1,688,706
7,244,157
8.3
1,688,632
7,246,111
7.4
1,679,187
7,241,897
6.4
1,678,178
7,244,075
6.6
1,675,515
7,244,451
5
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