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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)

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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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