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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)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.
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 |
End of preview.
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