Datasets:

letrinhan
/

vn-provinces-spring-rice-yield

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	44.3	final	quintal_per_ha
0	Viet Nam	VN	national	1,996	48	final	quintal_per_ha
0	Viet Nam	VN	national	1,997	49.6	final	quintal_per_ha
0	Viet Nam	VN	national	1,998	48.7	final	quintal_per_ha
0	Viet Nam	VN	national	1,999	48.8	final	quintal_per_ha
0	Viet Nam	VN	national	2,000	51.7	final	quintal_per_ha
0	Viet Nam	VN	national	2,001	50.6	final	quintal_per_ha
0	Viet Nam	VN	national	2,002	55.1	final	quintal_per_ha
0	Viet Nam	VN	national	2,003	55.7	final	quintal_per_ha
0	Viet Nam	VN	national	2,004	57.3	final	quintal_per_ha
0	Viet Nam	VN	national	2,005	58.9	final	quintal_per_ha
0	Viet Nam	VN	national	2,006	58.7	final	quintal_per_ha
0	Viet Nam	VN	national	2,007	57	final	quintal_per_ha
0	Viet Nam	VN	national	2,008	60.8	final	quintal_per_ha
0	Viet Nam	VN	national	2,009	61.1	final	quintal_per_ha
0	Viet Nam	VN	national	2,010	62.3	final	quintal_per_ha
0	Viet Nam	VN	national	2,011	63.9	final	quintal_per_ha
0	Viet Nam	VN	national	2,012	64.9	final	quintal_per_ha
0	Viet Nam	VN	national	2,013	64.6	final	quintal_per_ha
0	Viet Nam	VN	national	2,014	66.9	final	quintal_per_ha
0	Viet Nam	VN	national	2,015	66.6	final	quintal_per_ha
0	Viet Nam	VN	national	2,016	62.8	final	quintal_per_ha
0	Viet Nam	VN	national	2,017	62.3	final	quintal_per_ha
0	Viet Nam	VN	national	2,018	66.4	final	quintal_per_ha
0	Viet Nam	VN	national	2,019	65.5	final	quintal_per_ha
0	Viet Nam	VN	national	2,020	65.7	final	quintal_per_ha
0	Viet Nam	VN	national	2,021	68.6	final	quintal_per_ha
0	Viet Nam	VN	national	2,022	66.8	final	quintal_per_ha
0	Viet Nam	VN	national	2,023	68.4	final	quintal_per_ha
0	Viet Nam	VN	national	2,024	68.8	preliminary	quintal_per_ha
1	Ha Noi	HN	historical_63	1,995	30.6	final	quintal_per_ha
1	Ha Noi	HN	historical_63	1,996	41.3	final	quintal_per_ha
1	Ha Noi	HN	historical_63	1,997	39.5	final	quintal_per_ha
1	Ha Noi	HN	historical_63	1,998	37.1	final	quintal_per_ha
1	Ha Noi	HN	historical_63	1,999	37.5	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,000	44.5	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,001	40.7	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,002	42.1	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,003	44.4	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,004	47.1	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,005	46.2	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,006	46.6	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,007	42.7	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,008	59.8	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,009	58.3	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,010	58	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,011	62.6	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,012	61.8	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,013	61.2	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,014	61.1	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,015	61.1	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,016	60.9	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,017	61.3	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,018	62.8	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,019	58.8	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,020	59.7	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,021	62.6	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,022	61.6	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,023	62.8	final	quintal_per_ha
1	Ha Noi	HN	historical_63	2,024	62.8	preliminary	quintal_per_ha
2	Ha Giang	HG	historical_63	1,995	27.6	final	quintal_per_ha
2	Ha Giang	HG	historical_63	1,996	29.3	final	quintal_per_ha
2	Ha Giang	HG	historical_63	1,997	33	final	quintal_per_ha
2	Ha Giang	HG	historical_63	1,998	33.9	final	quintal_per_ha
2	Ha Giang	HG	historical_63	1,999	38.3	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,000	42	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,001	44	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,002	44	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,003	43.7	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,004	43.7	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,005	44.9	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,006	44.3	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,007	44.8	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,008	46.6	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,009	48.9	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,010	52.4	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,011	54.2	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,012	52.9	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,013	55.9	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,014	55.9	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,015	55.7	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,016	56.6	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,017	57.2	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,018	57.4	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,019	57.3	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,020	57.8	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,021	58.2	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,022	58.1	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,023	57.6	final	quintal_per_ha
2	Ha Giang	HG	historical_63	2,024	58	preliminary	quintal_per_ha
4	Cao Bang	CB	historical_63	1,995	34.5	final	quintal_per_ha
4	Cao Bang	CB	historical_63	1,996	42.3	final	quintal_per_ha
4	Cao Bang	CB	historical_63	1,997	43.6	final	quintal_per_ha
4	Cao Bang	CB	historical_63	1,998	43.2	final	quintal_per_ha
4	Cao Bang	CB	historical_63	1,999	46.5	final	quintal_per_ha
4	Cao Bang	CB	historical_63	2,000	48.2	final	quintal_per_ha
4	Cao Bang	CB	historical_63	2,001	45.9	final	quintal_per_ha
4	Cao Bang	CB	historical_63	2,002	48.7	final	quintal_per_ha
4	Cao Bang	CB	historical_63	2,003	48.2	final	quintal_per_ha
4	Cao Bang	CB	historical_63	2,004	46	final	quintal_per_ha

End of preview.

Vietnam provinces spring rice yield

Provincial and regional yield of spring (dong xuan) paddy rice (quintals per hectare). 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 (1863 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: Nang suat gieo trong lua dong xuan 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_spring_rice_yield,
  title = {Vietnam provinces spring rice yield},
  author = {{National Statistics Office of Vietnam}},
  note = {Cleaned long panel. Unit: quintals per hectare (ta/ha).},
  year = {2024}
}

Built 2026-09-14 UTC.

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