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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 7 new columns ({'alps_band', 'unit', 'group', 'commodity', 'price', 'month', 'price_zscore'}) and 7 missing columns ({'country', 'pct_insufficient_food', 'iso3', 'pop_insufficient_food', 'rank', 'analysis_date', 'data_type'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sanghoonio/food-security-data/data/prices_monthly.csv (at revision 7ef8814ad47adaec400854ac3b8b534e9137dc37), ['hf://datasets/sanghoonio/food-security-data@7ef8814ad47adaec400854ac3b8b534e9137dc37/data/hungermap.csv', 'hf://datasets/sanghoonio/food-security-data@7ef8814ad47adaec400854ac3b8b534e9137dc37/data/prices_monthly.csv', 'hf://datasets/sanghoonio/food-security-data@7ef8814ad47adaec400854ac3b8b534e9137dc37/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
month: string
commodity: string
group: string
unit: string
price: double
price_zscore: double
alps_band: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1079
to
{'rank': Value('int64'), 'iso3': Value('string'), 'country': Value('string'), 'analysis_date': Value('string'), 'data_type': Value('string'), 'pop_insufficient_food': Value('int64'), 'pct_insufficient_food': 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 7 new columns ({'alps_band', 'unit', 'group', 'commodity', 'price', 'month', 'price_zscore'}) and 7 missing columns ({'country', 'pct_insufficient_food', 'iso3', 'pop_insufficient_food', 'rank', 'analysis_date', 'data_type'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sanghoonio/food-security-data/data/prices_monthly.csv (at revision 7ef8814ad47adaec400854ac3b8b534e9137dc37), ['hf://datasets/sanghoonio/food-security-data@7ef8814ad47adaec400854ac3b8b534e9137dc37/data/hungermap.csv', 'hf://datasets/sanghoonio/food-security-data@7ef8814ad47adaec400854ac3b8b534e9137dc37/data/prices_monthly.csv', 'hf://datasets/sanghoonio/food-security-data@7ef8814ad47adaec400854ac3b8b534e9137dc37/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.
rank int64 | iso3 string | country string | analysis_date string | data_type string | pop_insufficient_food int64 | pct_insufficient_food float64 |
|---|---|---|---|---|---|---|
1 | NGA | Nigeria | 2026-07-08 | SURVEY | 76,770,935 | 48.7 |
2 | BGD | Bangladesh | 2024-09-14 | PREDICTION | 51,060,275 | 31.6 |
3 | YEM | Yemen | 2026-07-10 | SURVEY | 22,443,831 | 65.7 |
4 | NER | Niger | 2023-12-04 | SURVEY | 21,946,987 | 84.8 |
5 | UGA | Uganda | 2024-09-14 | PREDICTION | 18,033,660 | 42.2 |
6 | SOM | Somalia | 2024-03-17 | SURVEY | 15,615,302 | 95.3 |
7 | KEN | Kenya | 2024-01-16 | SURVEY | 13,611,711 | 26.5 |
8 | BFA | Burkina Faso | 2023-12-04 | SURVEY | 11,042,420 | 55.9 |
9 | TCD | Chad | 2024-01-05 | SURVEY | 9,292,262 | 58.3 |
10 | HTI | Haiti | 2026-08-04 | SURVEY | 8,932,341 | 75.1 |
11 | MDG | Madagascar | 2024-03-04 | SURVEY | 8,456,947 | 32.2 |
12 | MOZ | Mozambique | 2023-12-04 | SURVEY | 8,399,736 | 28.5 |
13 | SYR | Syrian Arab Republic | 2026-03-06 | SURVEY | 6,193,122 | 36.6 |
14 | AGO | Angola | 2023-12-04 | SURVEY | 5,281,612 | 15.5 |
15 | TZA | United Republic of Tanzania | 2024-02-16 | SURVEY | 5,202,349 | 9.2 |
16 | SSD | South Sudan | 2024-09-14 | PREDICTION | 4,949,756 | 45.1 |
17 | MWI | Malawi | 2023-12-04 | SURVEY | 4,820,530 | 26.6 |
18 | ZMB | Zambia | 2024-01-19 | SURVEY | 3,325,604 | 19.2 |
19 | LSO | Lesotho | 2024-09-14 | PREDICTION | 935,587 | 44.4 |
20 | HND | Honduras | 2026-01-21 | SURVEY | 508,052 | 5.3 |
21 | GTM | Guatemala | 2025-12-25 | SURVEY | 401,035 | 2.3 |
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