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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 ({'t_min'}) and 1 missing columns ({'t_max'}).
This happened while the csv dataset builder was generating data using
hf://datasets/vibhubathejaTERI/teri-cdat-data/Processed Datasets/CSV-AIP/IMD_MinT_Yearly-Mean_1951-2023.csv (at revision 44dd6a49c6ff7328ff4ba9b131fa3a1a73214198), ['hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/Processed Datasets/CSV-AIP/IMD_MaxT_Yearly-Mean_1951-2023.csv', 'hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/Processed Datasets/CSV-AIP/IMD_MinT_Yearly-Mean_1951-2023.csv', 'hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/Processed Datasets/CSV-AIP/IMD_Rainfall_Annual.csv', 'hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/boundry/India_State_Boundary.csv', 'hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/boundry/India_states_boundry.zip']
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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
year: int64
lat: double
lon: double
t_min: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 711
to
{'year': Value('int64'), 'lat': Value('float64'), 'lon': Value('float64'), 't_max': Value('float64')}
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 ({'t_min'}) and 1 missing columns ({'t_max'}).
This happened while the csv dataset builder was generating data using
hf://datasets/vibhubathejaTERI/teri-cdat-data/Processed Datasets/CSV-AIP/IMD_MinT_Yearly-Mean_1951-2023.csv (at revision 44dd6a49c6ff7328ff4ba9b131fa3a1a73214198), ['hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/Processed Datasets/CSV-AIP/IMD_MaxT_Yearly-Mean_1951-2023.csv', 'hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/Processed Datasets/CSV-AIP/IMD_MinT_Yearly-Mean_1951-2023.csv', 'hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/Processed Datasets/CSV-AIP/IMD_Rainfall_Annual.csv', 'hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/boundry/India_State_Boundary.csv', 'hf://datasets/vibhubathejaTERI/teri-cdat-data@44dd6a49c6ff7328ff4ba9b131fa3a1a73214198/boundry/India_states_boundry.zip']
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.
year int64 | lat float64 | lon float64 | t_max null |
|---|---|---|---|
1,951 | 7.5 | 67.5 | null |
1,951 | 7.5 | 67.75 | null |
1,951 | 7.5 | 68 | null |
1,951 | 7.5 | 68.25 | null |
1,951 | 7.5 | 68.5 | null |
1,951 | 7.5 | 68.75 | null |
1,951 | 7.5 | 69 | null |
1,951 | 7.5 | 69.25 | null |
1,951 | 7.5 | 69.5 | null |
1,951 | 7.5 | 69.75 | null |
1,951 | 7.5 | 70 | null |
1,951 | 7.5 | 70.25 | null |
1,951 | 7.5 | 70.5 | null |
1,951 | 7.5 | 70.75 | null |
1,951 | 7.5 | 71 | null |
1,951 | 7.5 | 71.25 | null |
1,951 | 7.5 | 71.5 | null |
1,951 | 7.5 | 71.75 | null |
1,951 | 7.5 | 72 | null |
1,951 | 7.5 | 72.25 | null |
1,951 | 7.5 | 72.5 | null |
1,951 | 7.5 | 72.75 | null |
1,951 | 7.5 | 73 | null |
1,951 | 7.5 | 73.25 | null |
1,951 | 7.5 | 73.5 | null |
1,951 | 7.5 | 73.75 | null |
1,951 | 7.5 | 74 | null |
1,951 | 7.5 | 74.25 | null |
1,951 | 7.5 | 74.5 | null |
1,951 | 7.5 | 74.75 | null |
1,951 | 7.5 | 75 | null |
1,951 | 7.5 | 75.25 | null |
1,951 | 7.5 | 75.5 | null |
1,951 | 7.5 | 75.75 | null |
1,951 | 7.5 | 76 | null |
1,951 | 7.5 | 76.25 | null |
1,951 | 7.5 | 76.5 | null |
1,951 | 7.5 | 76.75 | null |
1,951 | 7.5 | 77 | null |
1,951 | 7.5 | 77.25 | null |
1,951 | 7.5 | 77.5 | null |
1,951 | 7.5 | 77.75 | null |
1,951 | 7.5 | 78 | null |
1,951 | 7.5 | 78.25 | null |
1,951 | 7.5 | 78.5 | null |
1,951 | 7.5 | 78.75 | null |
1,951 | 7.5 | 79 | null |
1,951 | 7.5 | 79.25 | null |
1,951 | 7.5 | 79.5 | null |
1,951 | 7.5 | 79.75 | null |
1,951 | 7.5 | 80 | null |
1,951 | 7.5 | 80.25 | null |
1,951 | 7.5 | 80.5 | null |
1,951 | 7.5 | 80.75 | null |
1,951 | 7.5 | 81 | null |
1,951 | 7.5 | 81.25 | null |
1,951 | 7.5 | 81.5 | null |
1,951 | 7.5 | 81.75 | null |
1,951 | 7.5 | 82 | null |
1,951 | 7.5 | 82.25 | null |
1,951 | 7.5 | 82.5 | null |
1,951 | 7.5 | 82.75 | null |
1,951 | 7.5 | 83 | null |
1,951 | 7.5 | 83.25 | null |
1,951 | 7.5 | 83.5 | null |
1,951 | 7.5 | 83.75 | null |
1,951 | 7.5 | 84 | null |
1,951 | 7.5 | 84.25 | null |
1,951 | 7.5 | 84.5 | null |
1,951 | 7.5 | 84.75 | null |
1,951 | 7.5 | 85 | null |
1,951 | 7.5 | 85.25 | null |
1,951 | 7.5 | 85.5 | null |
1,951 | 7.5 | 85.75 | null |
1,951 | 7.5 | 86 | null |
1,951 | 7.5 | 86.25 | null |
1,951 | 7.5 | 86.5 | null |
1,951 | 7.5 | 86.75 | null |
1,951 | 7.5 | 87 | null |
1,951 | 7.5 | 87.25 | null |
1,951 | 7.5 | 87.5 | null |
1,951 | 7.5 | 87.75 | null |
1,951 | 7.5 | 88 | null |
1,951 | 7.5 | 88.25 | null |
1,951 | 7.5 | 88.5 | null |
1,951 | 7.5 | 88.75 | null |
1,951 | 7.5 | 89 | null |
1,951 | 7.5 | 89.25 | null |
1,951 | 7.5 | 89.5 | null |
1,951 | 7.5 | 89.75 | null |
1,951 | 7.5 | 90 | null |
1,951 | 7.5 | 90.25 | null |
1,951 | 7.5 | 90.5 | null |
1,951 | 7.5 | 90.75 | null |
1,951 | 7.5 | 91 | null |
1,951 | 7.5 | 91.25 | null |
1,951 | 7.5 | 91.5 | null |
1,951 | 7.5 | 91.75 | null |
1,951 | 7.5 | 92 | null |
1,951 | 7.5 | 92.25 | null |
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