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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 6 new columns ({'Verse ID', 'Verse', 'Chapter', 'Book Number', 'Book Name', 'Text'}) and 2 missing columns ({' แ แแญแ', 'แฅแแแแแ '}). This happened while the csv dataset builder was generating data using hf://datasets/hopegeb/EngAmh/bible_amh.csv (at revision 98fe0ee7ef06e4582ef59151e08251583aed2412) 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 Verse ID: int64 Book Name: string Book Number: int64 Chapter: int64 Verse: int64 Text: string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 938 to {'แฅแแแแแ ': Value(dtype='string', id=None), ' แ แแญแ': Value(dtype='string', 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 1417, 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 1049, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 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 6 new columns ({'Verse ID', 'Verse', 'Chapter', 'Book Number', 'Book Name', 'Text'}) and 2 missing columns ({' แ แแญแ', 'แฅแแแแแ '}). This happened while the csv dataset builder was generating data using hf://datasets/hopegeb/EngAmh/bible_amh.csv (at revision 98fe0ee7ef06e4582ef59151e08251583aed2412) 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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แฅแแแแแ
string | แ แแญแ
string |
---|---|
abandon | แแฐแ |
abandoned | แจแฐแฃแ |
abasement | แแญแฐแต |
abash | แ แณแแช |
abate | แแแฐแฃ แฐแจแ |
abdomen | แแต |
abhorrence | แฅแแป |
abide | แ แญแแญแ |
ability | แฝแแณ |
abject | แ แฐแแ |
able | แฝแแณ แซแแ |
ablation | แแณแ แฅ |
abnegate | แแแ
|
abode | แแแชแซ |
abolition | แแฅแแต |
abominate | แแฅแแต |
abort | แจแแแ |
abound | แแแฃแฐแตแจแแจแ |
about | แญแ
แแฃ แแฐแ แตแ |
above | แแญแฃ แจแแญ |
abrasion | แแแ
|
abridge | แ แฐแณแ แจ |
abroad | แแญ แ แแญ |
abrogate | แปแจ |
abupt | แตแแแฐแ |
abscess | แฅแฃแญ |
abscond | แแธแฝ |
absent | แแช |
absent minded | แแแ |
absorb | แซแแฃ แแ แ |
absstain | แฐแ แ แแฃ แฐแแ แ |
abundance | แฅแแต |
abuse | แตแตแฅ |
abut | แจแฐแซแซแแฃ แแ |
abyss | แแฐแ |
acacia | แแซแญ |
accede | แแจแฐแฃ แฐแแ แ |
accelerate | แแฅแแต แจแแจ |
accept | แฅแบ แ แ |
acceptable | แฐแตแแ |
accession | แแจแแญ |
accident | แตแแแฐแตแฃ แ แฐแ |
acclimate | แแแฐ |
accompany | แแแฅ |
accomplishment | แฅแซ |
accord | แตแแแแต |
accrue | แจแแจ |
accurate | แตแญแญแแ |
accusation | แญแต |
accused | แฐแจแณแฝ |
accuser | แจแณแฝ |
ache | แ
แแ |
achieve | แ แซแฃ แแธแ |
acne | แฅแแญ |
acquaintance | แแฐแแแต |
acquire | แ แแ |
acquit | แ แแ แฐแแแ |
acre | แจแแฌแต แตแแต แแแชแซ |
across | แจแณแญ แฅแณแญ |
acting | แฐแ แ แฃแฃแ |
active | แฅแญแฑแฃ แแ |
adan | แ แณแ |
add | แแจแแญแฃ แแฐแแญ |
addict | แฑแฐแ |
addition | แฑแต |
addition | แตแแญ |
address | แ แตแซแป |
adept | แ แฃแแแซ |
adjure | แแแ |
adjust | แ แตแฐแซแจแ |
adjutant | แจแณแต |
administration | แ แตแฐแณแฐแญ |
administrator | แ แตแฐแณแณแช |
admiral | แจแฃแ
แญ แแญแ แ แแฅ |
adolescent | แแจแแณแฃ แฎแจแณ |
adoration | แแญแ แญ |
adore | แ แแแจ |
adorn | แ แตแแ |
adroit | แแดแ |
adult | แแแแแณแฃ แ แแ |
adulteress | แแแ แดแต |
adultery | แแแต |
advanced | แจแแฐแ |
adventitious | แฐแจแแชแฃ แ แ แแฃแ แจแแแฃ |
adversity | แแจแซ |
advertisement | แแตแณแแแซ |
advertiser | แ แตแฐแแแ |
advertise | แแตแณแแ
|
advisory | แ แแซแช |
advocate | แ แ แ |
adze | แแฅแจแขแซ |
aerial | แ แแดแ |
afar | แฉแ
|
affection | แแ
แญ |
affiliation | แแแตแ |
affinity | แฐแแณแณแญ |
afflict | แ แฃแ แแณ |
afflient | แฃแแแ |
afford | แฐแ |
affromt | แ แแจแฐ |
End of preview.
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