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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 8 new columns ({'date', 'is_forecast', 'precip_mm', 'country', 'precip_anomaly_mm', 'tmax_c', 'tmax_anomaly_c', 'iso3'}) and 7 missing columns ({'month', 'group', 'alps_band', 'unit', 'price_zscore', 'price', 'commodity'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sanghoonio/food-security-data/data/weather_daily.csv (at revision 75b7ce59c99d515ab6206d0de369507a5505df7b), ['hf://datasets/sanghoonio/food-security-data@75b7ce59c99d515ab6206d0de369507a5505df7b/data/prices_monthly.csv', 'hf://datasets/sanghoonio/food-security-data@75b7ce59c99d515ab6206d0de369507a5505df7b/data/weather_daily.csv']
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
date: string
iso3: string
country: string
tmax_c: double
precip_mm: double
tmax_anomaly_c: double
precip_anomaly_mm: double
is_forecast: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1223
to
{'month': Value('string'), 'commodity': Value('string'), 'group': Value('string'), 'unit': Value('string'), 'price': Value('float64'), 'price_zscore': Value('float64'), 'alps_band': Value('string')}
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 8 new columns ({'date', 'is_forecast', 'precip_mm', 'country', 'precip_anomaly_mm', 'tmax_c', 'tmax_anomaly_c', 'iso3'}) and 7 missing columns ({'month', 'group', 'alps_band', 'unit', 'price_zscore', 'price', 'commodity'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sanghoonio/food-security-data/data/weather_daily.csv (at revision 75b7ce59c99d515ab6206d0de369507a5505df7b), ['hf://datasets/sanghoonio/food-security-data@75b7ce59c99d515ab6206d0de369507a5505df7b/data/prices_monthly.csv', 'hf://datasets/sanghoonio/food-security-data@75b7ce59c99d515ab6206d0de369507a5505df7b/data/weather_daily.csv']
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.
month string | commodity string | group string | unit string | price float64 | price_zscore float64 | alps_band string |
|---|---|---|---|---|---|---|
2023-07-01 | DAP | Fertilizer | ($/mt) | 458.8 | -1.905319 | Normal |
2023-08-01 | DAP | Fertilizer | ($/mt) | 528.8 | -0.887518 | Normal |
2023-09-01 | DAP | Fertilizer | ($/mt) | 527.9 | -0.760086 | Normal |
2023-10-01 | DAP | Fertilizer | ($/mt) | 534.8 | -0.556712 | Normal |
2023-11-01 | DAP | Fertilizer | ($/mt) | 535.6 | -0.421292 | Normal |
2023-12-01 | DAP | Fertilizer | ($/mt) | 563.8 | 0.132257 | Normal |
2024-01-01 | DAP | Fertilizer | ($/mt) | 596.3 | 0.750385 | Stress |
2024-02-01 | DAP | Fertilizer | ($/mt) | 583.8 | 0.629424 | Stress |
2024-03-01 | DAP | Fertilizer | ($/mt) | 617.5 | 1.30317 | Alert |
2024-04-01 | DAP | Fertilizer | ($/mt) | 545 | -0.013004 | Normal |
2024-05-01 | DAP | Fertilizer | ($/mt) | 522 | -0.325999 | Normal |
2024-06-01 | DAP | Fertilizer | ($/mt) | 543 | 0.080417 | Normal |
2024-07-01 | DAP | Fertilizer | ($/mt) | 539.4 | -0.17202 | Normal |
2024-08-01 | DAP | Fertilizer | ($/mt) | 546 | -0.234391 | Normal |
2024-09-01 | DAP | Fertilizer | ($/mt) | 554.8 | 0.007018 | Normal |
2024-10-01 | DAP | Fertilizer | ($/mt) | 573.4 | 0.581758 | Stress |
2024-11-01 | DAP | Fertilizer | ($/mt) | 574.5 | 0.517239 | Stress |
2024-12-01 | DAP | Fertilizer | ($/mt) | 568.3 | 0.184907 | Normal |
2025-01-01 | DAP | Fertilizer | ($/mt) | 582.7 | 0.701702 | Stress |
2025-02-01 | DAP | Fertilizer | ($/mt) | 603.8 | 1.593723 | Alert |
2025-03-01 | DAP | Fertilizer | ($/mt) | 615.1 | 1.821197 | Alert |
2025-04-01 | DAP | Fertilizer | ($/mt) | 635 | 2.578243 | Crisis |
2025-05-01 | DAP | Fertilizer | ($/mt) | 669.2 | 2.916171 | Crisis |
2025-06-01 | DAP | Fertilizer | ($/mt) | 715.4 | 3.287452 | Crisis |
2025-07-01 | DAP | Fertilizer | ($/mt) | 736 | 2.604386 | Crisis |
2025-08-01 | DAP | Fertilizer | ($/mt) | 795.1 | 2.882875 | Crisis |
2025-09-01 | DAP | Fertilizer | ($/mt) | 780.6 | 1.87747 | Alert |
2025-10-01 | DAP | Fertilizer | ($/mt) | 754 | 1.199593 | Alert |
2025-11-01 | DAP | Fertilizer | ($/mt) | 708.3 | 0.46787 | Stress |
2025-12-01 | DAP | Fertilizer | ($/mt) | 627.5 | -0.670761 | Normal |
2026-01-01 | DAP | Fertilizer | ($/mt) | 619.2 | -0.908557 | Normal |
2026-02-01 | DAP | Fertilizer | ($/mt) | 626.5 | -0.899852 | Normal |
2026-03-01 | DAP | Fertilizer | ($/mt) | 658.3 | -0.479961 | Normal |
2026-04-01 | DAP | Fertilizer | ($/mt) | 725.3 | 0.50048 | Stress |
2026-05-01 | DAP | Fertilizer | ($/mt) | 769.5 | 1.1235 | Alert |
2026-06-01 | DAP | Fertilizer | ($/mt) | 783.8 | 1.181451 | Alert |
2023-07-01 | Maize | Food staple | ($/mt) | 242.4 | -2.54895 | Normal |
2023-08-01 | Maize | Food staple | ($/mt) | 207.6 | -3.199222 | Normal |
2023-09-01 | Maize | Food staple | ($/mt) | 223.8 | -1.716911 | Normal |
2023-10-01 | Maize | Food staple | ($/mt) | 230.7 | -1.221979 | Normal |
2023-11-01 | Maize | Food staple | ($/mt) | 211.3 | -1.613291 | Normal |
2023-12-01 | Maize | Food staple | ($/mt) | 206.5 | -1.504024 | Normal |
2024-01-01 | Maize | Food staple | ($/mt) | 198.6 | -1.479305 | Normal |
2024-02-01 | Maize | Food staple | ($/mt) | 189.1 | -1.527703 | Normal |
2024-03-01 | Maize | Food staple | ($/mt) | 190.6 | -1.274893 | Normal |
2024-04-01 | Maize | Food staple | ($/mt) | 191.7 | -1.06404 | Normal |
2024-05-01 | Maize | Food staple | ($/mt) | 197.8 | -0.755226 | Normal |
2024-06-01 | Maize | Food staple | ($/mt) | 192.5 | -0.864296 | Normal |
2024-07-01 | Maize | Food staple | ($/mt) | 177.4 | -1.700949 | Normal |
2024-08-01 | Maize | Food staple | ($/mt) | 170.3 | -2.042718 | Normal |
2024-09-01 | Maize | Food staple | ($/mt) | 185 | -0.762232 | Normal |
2024-10-01 | Maize | Food staple | ($/mt) | 190.3 | -0.30328 | Normal |
2024-11-01 | Maize | Food staple | ($/mt) | 201.3 | 0.844005 | Stress |
2024-12-01 | Maize | Food staple | ($/mt) | 202.6 | 1.163949 | Alert |
2025-01-01 | Maize | Food staple | ($/mt) | 214.4 | 2.497189 | Crisis |
2025-02-01 | Maize | Food staple | ($/mt) | 220.9 | 2.498009 | Crisis |
2025-03-01 | Maize | Food staple | ($/mt) | 207.4 | 0.901603 | Stress |
2025-04-01 | Maize | Food staple | ($/mt) | 215 | 1.301068 | Alert |
2025-05-01 | Maize | Food staple | ($/mt) | 203.9 | 0.385818 | Stress |
2025-06-01 | Maize | Food staple | ($/mt) | 196.1 | -0.148263 | Normal |
2025-07-01 | Maize | Food staple | ($/mt) | 192 | -0.432334 | Normal |
2025-08-01 | Maize | Food staple | ($/mt) | 185.5 | -1.014174 | Normal |
2025-09-01 | Maize | Food staple | ($/mt) | 197.4 | -0.321278 | Normal |
2025-10-01 | Maize | Food staple | ($/mt) | 198.1 | -0.383463 | Normal |
2025-11-01 | Maize | Food staple | ($/mt) | 202 | -0.08648 | Normal |
2025-12-01 | Maize | Food staple | ($/mt) | 205.7 | 0.270254 | Stress |
2026-01-01 | Maize | Food staple | ($/mt) | 204.5 | 0.127 | Normal |
2026-02-01 | Maize | Food staple | ($/mt) | 209.6 | 0.750055 | Stress |
2026-03-01 | Maize | Food staple | ($/mt) | 212.7 | 1.39352 | Alert |
2026-04-01 | Maize | Food staple | ($/mt) | 214 | 1.414689 | Alert |
2026-05-01 | Maize | Food staple | ($/mt) | 216.2 | 1.708087 | Alert |
2026-06-01 | Maize | Food staple | ($/mt) | 197.1 | -0.607751 | Normal |
2023-07-01 | Phosphate rock | Fertilizer | ($/mt) | 342.5 | 1.06807 | Alert |
2023-08-01 | Phosphate rock | Fertilizer | ($/mt) | 346.3 | 1.126168 | Alert |
2023-09-01 | Phosphate rock | Fertilizer | ($/mt) | 347.5 | 1.026399 | Alert |
2023-10-01 | Phosphate rock | Fertilizer | ($/mt) | 347.5 | 0.880138 | Stress |
2023-12-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -8.765577 | Normal |
2024-01-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -3.008141 | Normal |
2024-02-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -2.102253 | Normal |
2024-03-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -1.653393 | Normal |
2024-04-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -1.353875 | Normal |
2024-05-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -1.132743 | Normal |
2024-06-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -0.957346 | Normal |
2024-07-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -0.809105 | Normal |
2024-08-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -0.676946 | Normal |
2024-09-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -0.552768 | Normal |
2024-10-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -0.428174 | Normal |
2024-11-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | -0.288675 | Normal |
2024-12-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-01-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-02-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-03-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-04-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-05-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-06-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-07-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-08-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-09-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-10-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
2025-11-01 | Phosphate rock | Fertilizer | ($/mt) | 152.5 | null | null |
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