Datasets:

letrinhan
/

vn-provinces-maize-production

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'R6' as a scalar of type int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2015, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1161, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 414, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                  return func.call(args, options=options, memory_pool=memory_pool,
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Failed to parse string: 'R6' as a scalar of type int64
              
              The above exception was the direct cause of the following exception:
              
              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 1694, 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 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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geo_code int64	geo_name string	geo_short string	geo_system string	year int64	value float64	value_status string	unit string
0	Viet Nam	VN	national	1,995	1,177.2	final	thousand_tons
0	Viet Nam	VN	national	1,996	1,536.7	final	thousand_tons
0	Viet Nam	VN	national	1,997	1,650.6	final	thousand_tons
0	Viet Nam	VN	national	1,998	1,612	final	thousand_tons
0	Viet Nam	VN	national	1,999	1,753.1	final	thousand_tons
0	Viet Nam	VN	national	2,000	2,005.9	final	thousand_tons
0	Viet Nam	VN	national	2,001	2,161.7	final	thousand_tons
0	Viet Nam	VN	national	2,002	2,511.2	final	thousand_tons
0	Viet Nam	VN	national	2,003	3,136.3	final	thousand_tons
0	Viet Nam	VN	national	2,004	3,430.9	final	thousand_tons
0	Viet Nam	VN	national	2,005	3,787.1	final	thousand_tons
0	Viet Nam	VN	national	2,006	3,854.6	final	thousand_tons
0	Viet Nam	VN	national	2,007	4,303.2	final	thousand_tons
0	Viet Nam	VN	national	2,008	4,573.1	final	thousand_tons
0	Viet Nam	VN	national	2,009	4,371.7	final	thousand_tons
0	Viet Nam	VN	national	2,010	4,625.7	final	thousand_tons
0	Viet Nam	VN	national	2,011	4,835.6	final	thousand_tons
0	Viet Nam	VN	national	2,012	4,973.6	final	thousand_tons
0	Viet Nam	VN	national	2,013	5,191.2	final	thousand_tons
0	Viet Nam	VN	national	2,014	5,202.3	final	thousand_tons
0	Viet Nam	VN	national	2,015	5,287.2	final	thousand_tons
0	Viet Nam	VN	national	2,016	5,246.5	final	thousand_tons
0	Viet Nam	VN	national	2,017	5,109.6	final	thousand_tons
0	Viet Nam	VN	national	2,018	4,874.1	final	thousand_tons
0	Viet Nam	VN	national	2,019	4,731.9	final	thousand_tons
0	Viet Nam	VN	national	2,020	4,558.2	final	thousand_tons
0	Viet Nam	VN	national	2,021	4,446.4	final	thousand_tons
0	Viet Nam	VN	national	2,022	4,423.3	final	thousand_tons
0	Viet Nam	VN	national	2,023	4,437.2	final	thousand_tons
0	Viet Nam	VN	national	2,024	4,402.2	preliminary	thousand_tons
1	Ha Noi	HN	historical_63	1,995	21.8	final	thousand_tons
1	Ha Noi	HN	historical_63	1,996	31	final	thousand_tons
1	Ha Noi	HN	historical_63	1,997	35.9	final	thousand_tons
1	Ha Noi	HN	historical_63	1,998	32.4	final	thousand_tons
1	Ha Noi	HN	historical_63	1,999	31.1	final	thousand_tons
1	Ha Noi	HN	historical_63	2,000	31.7	final	thousand_tons
1	Ha Noi	HN	historical_63	2,001	28.4	final	thousand_tons
1	Ha Noi	HN	historical_63	2,002	28.5	final	thousand_tons
1	Ha Noi	HN	historical_63	2,003	27.8	final	thousand_tons
1	Ha Noi	HN	historical_63	2,004	27	final	thousand_tons
1	Ha Noi	HN	historical_63	2,005	26.1	final	thousand_tons
1	Ha Noi	HN	historical_63	2,006	27.8	final	thousand_tons
1	Ha Noi	HN	historical_63	2,007	28.5	final	thousand_tons
1	Ha Noi	HN	historical_63	2,008	111	final	thousand_tons
1	Ha Noi	HN	historical_63	2,009	75.1	final	thousand_tons
1	Ha Noi	HN	historical_63	2,010	112.4	final	thousand_tons
1	Ha Noi	HN	historical_63	2,011	111.9	final	thousand_tons
1	Ha Noi	HN	historical_63	2,012	99.5	final	thousand_tons
1	Ha Noi	HN	historical_63	2,013	100	final	thousand_tons
1	Ha Noi	HN	historical_63	2,014	98	final	thousand_tons
1	Ha Noi	HN	historical_63	2,015	102.6	final	thousand_tons
1	Ha Noi	HN	historical_63	2,016	97.1	final	thousand_tons
1	Ha Noi	HN	historical_63	2,017	94.4	final	thousand_tons
1	Ha Noi	HN	historical_63	2,018	84	final	thousand_tons
1	Ha Noi	HN	historical_63	2,019	78.4	final	thousand_tons
1	Ha Noi	HN	historical_63	2,020	71.2	final	thousand_tons
1	Ha Noi	HN	historical_63	2,021	69.5	final	thousand_tons
1	Ha Noi	HN	historical_63	2,022	72.5	final	thousand_tons
1	Ha Noi	HN	historical_63	2,023	64.3	final	thousand_tons
1	Ha Noi	HN	historical_63	2,024	61.2	preliminary	thousand_tons
2	Ha Giang	HG	historical_63	1,995	45.4	final	thousand_tons
2	Ha Giang	HG	historical_63	1,996	53.7	final	thousand_tons
2	Ha Giang	HG	historical_63	1,997	55.4	final	thousand_tons
2	Ha Giang	HG	historical_63	1,998	62.1	final	thousand_tons
2	Ha Giang	HG	historical_63	1,999	63.7	final	thousand_tons
2	Ha Giang	HG	historical_63	2,000	71.7	final	thousand_tons
2	Ha Giang	HG	historical_63	2,001	79.2	final	thousand_tons
2	Ha Giang	HG	historical_63	2,002	85.6	final	thousand_tons
2	Ha Giang	HG	historical_63	2,003	88	final	thousand_tons
2	Ha Giang	HG	historical_63	2,004	89.5	final	thousand_tons
2	Ha Giang	HG	historical_63	2,005	92.6	final	thousand_tons
2	Ha Giang	HG	historical_63	2,006	90.7	final	thousand_tons
2	Ha Giang	HG	historical_63	2,007	90.7	final	thousand_tons
2	Ha Giang	HG	historical_63	2,008	111.7	final	thousand_tons
2	Ha Giang	HG	historical_63	2,009	122.5	final	thousand_tons
2	Ha Giang	HG	historical_63	2,010	136.3	final	thousand_tons
2	Ha Giang	HG	historical_63	2,011	155.3	final	thousand_tons
2	Ha Giang	HG	historical_63	2,012	168.7	final	thousand_tons
2	Ha Giang	HG	historical_63	2,013	176.9	final	thousand_tons
2	Ha Giang	HG	historical_63	2,014	178.4	final	thousand_tons
2	Ha Giang	HG	historical_63	2,015	186.5	final	thousand_tons
2	Ha Giang	HG	historical_63	2,016	185.2	final	thousand_tons
2	Ha Giang	HG	historical_63	2,017	186.1	final	thousand_tons
2	Ha Giang	HG	historical_63	2,018	192.1	final	thousand_tons
2	Ha Giang	HG	historical_63	2,019	192	final	thousand_tons
2	Ha Giang	HG	historical_63	2,020	198.6	final	thousand_tons
2	Ha Giang	HG	historical_63	2,021	199.9	final	thousand_tons
2	Ha Giang	HG	historical_63	2,022	202.5	final	thousand_tons
2	Ha Giang	HG	historical_63	2,023	193.9	final	thousand_tons
2	Ha Giang	HG	historical_63	2,024	198.6	preliminary	thousand_tons
4	Cao Bang	CB	historical_63	1,995	55.3	final	thousand_tons
4	Cao Bang	CB	historical_63	1,996	59.1	final	thousand_tons
4	Cao Bang	CB	historical_63	1,997	63.8	final	thousand_tons
4	Cao Bang	CB	historical_63	1,998	60.6	final	thousand_tons
4	Cao Bang	CB	historical_63	1,999	63.1	final	thousand_tons
4	Cao Bang	CB	historical_63	2,000	75.8	final	thousand_tons
4	Cao Bang	CB	historical_63	2,001	78.8	final	thousand_tons
4	Cao Bang	CB	historical_63	2,002	80.5	final	thousand_tons
4	Cao Bang	CB	historical_63	2,003	86.2	final	thousand_tons
4	Cao Bang	CB	historical_63	2,004	88.9	final	thousand_tons

End of preview.

Vietnam provinces maize production

Provincial and regional maize (ngo) production (thousand tons). Coverage 1995-2024. Year 2024 is preliminary. Includes historical Ha Tay through 2007 (dissolved into Ha Noi). Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).

Files

provinces (1868 rows)

data/provinces.csv
data/provinces.dta
data/provinces.xlsx

regions (180 rows)

data/regions.csv
data/regions.dta
data/regions.xlsx

national (30 rows)

data/national.csv
data/national.dta
data/national.xlsx

Load

Stata:

use "data/provinces.dta", clear

df <- read.csv("data/provinces.csv")

SPSS: open the .xlsx or .csv file.

Source

National Statistics Office of Vietnam (NSO/GSO). Original table title: San luong ngo phan theo dia phuong. Cleaned long panel for research use. Geographic units are Vietnam provinces (and regions / national where present).

Raw originals

Unmodified upstream source files are under raw/ for verification (see raw/README.md). Clean tables remain under data/.

Citation

@misc{nso_vn_provinces_maize_production,
  title = {Vietnam provinces maize production},
  author = {{National Statistics Office of Vietnam}},
  note = {Cleaned long panel. Unit: thousand tons.},
  year = {2024}
}

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