Datasets:

letrinhan
/

vn-provinces-sugarcane-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

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.

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	2,018	17,945.2	final	thousand_tons
0	Viet Nam	VN	national	2,019	15,685.6	final	thousand_tons
0	Viet Nam	VN	national	2,020	11,534.6	final	thousand_tons
0	Viet Nam	VN	national	2,021	10,740.9	final	thousand_tons
0	Viet Nam	VN	national	2,022	11,088.9	final	thousand_tons
0	Viet Nam	VN	national	2,023	11,843.8	final	thousand_tons
0	Viet Nam	VN	national	2,024	12,674.6	preliminary	thousand_tons
1	Ha Noi	HN	historical_63	2,018	1.8	final	thousand_tons
1	Ha Noi	HN	historical_63	2,019	1.3	final	thousand_tons
1	Ha Noi	HN	historical_63	2,020	0.7	final	thousand_tons
1	Ha Noi	HN	historical_63	2,021	0.4	final	thousand_tons
1	Ha Noi	HN	historical_63	2,022	0.2	final	thousand_tons
1	Ha Noi	HN	historical_63	2,023	0.3	final	thousand_tons
1	Ha Noi	HN	historical_63	2,024	0.2	preliminary	thousand_tons
2	Ha Giang	HG	historical_63	2,018	23.7	final	thousand_tons
2	Ha Giang	HG	historical_63	2,019	25.6	final	thousand_tons
2	Ha Giang	HG	historical_63	2,020	21	final	thousand_tons
2	Ha Giang	HG	historical_63	2,021	20.4	final	thousand_tons
2	Ha Giang	HG	historical_63	2,022	15.2	final	thousand_tons
2	Ha Giang	HG	historical_63	2,023	14	final	thousand_tons
2	Ha Giang	HG	historical_63	2,024	19.8	preliminary	thousand_tons
4	Cao Bang	CB	historical_63	2,018	227.3	final	thousand_tons
4	Cao Bang	CB	historical_63	2,019	207	final	thousand_tons
4	Cao Bang	CB	historical_63	2,020	178.5	final	thousand_tons
4	Cao Bang	CB	historical_63	2,021	173.6	final	thousand_tons
4	Cao Bang	CB	historical_63	2,022	173.3	final	thousand_tons
4	Cao Bang	CB	historical_63	2,023	178.3	final	thousand_tons
4	Cao Bang	CB	historical_63	2,024	189.9	preliminary	thousand_tons
6	Bac Kan	BK	historical_63	2,018	5.7	final	thousand_tons
6	Bac Kan	BK	historical_63	2,019	4.1	final	thousand_tons
6	Bac Kan	BK	historical_63	2,020	2.8	final	thousand_tons
6	Bac Kan	BK	historical_63	2,021	3	final	thousand_tons
6	Bac Kan	BK	historical_63	2,022	3.3	final	thousand_tons
6	Bac Kan	BK	historical_63	2,023	3.6	final	thousand_tons
6	Bac Kan	BK	historical_63	2,024	3.8	preliminary	thousand_tons
8	Tuyen Quang	TQ	historical_63	2,018	535.5	final	thousand_tons
8	Tuyen Quang	TQ	historical_63	2,019	275.9	final	thousand_tons
8	Tuyen Quang	TQ	historical_63	2,020	169.4	final	thousand_tons
8	Tuyen Quang	TQ	historical_63	2,021	130.5	final	thousand_tons
8	Tuyen Quang	TQ	historical_63	2,022	125.5	final	thousand_tons
8	Tuyen Quang	TQ	historical_63	2,023	124.5	final	thousand_tons
8	Tuyen Quang	TQ	historical_63	2,024	149.1	preliminary	thousand_tons
10	Lao Cai	LCA	historical_63	2,018	9.3	final	thousand_tons
10	Lao Cai	LCA	historical_63	2,019	11	final	thousand_tons
10	Lao Cai	LCA	historical_63	2,020	12.2	final	thousand_tons
10	Lao Cai	LCA	historical_63	2,021	11.2	final	thousand_tons
10	Lao Cai	LCA	historical_63	2,022	10.4	final	thousand_tons
10	Lao Cai	LCA	historical_63	2,023	8.9	final	thousand_tons
10	Lao Cai	LCA	historical_63	2,024	7.9	preliminary	thousand_tons
11	Dien Bien	DB	historical_63	2,018	1.4	final	thousand_tons
11	Dien Bien	DB	historical_63	2,019	1.4	final	thousand_tons
11	Dien Bien	DB	historical_63	2,020	1.3	final	thousand_tons
11	Dien Bien	DB	historical_63	2,021	1.8	final	thousand_tons
11	Dien Bien	DB	historical_63	2,022	1.8	final	thousand_tons
11	Dien Bien	DB	historical_63	2,023	1.9	final	thousand_tons
11	Dien Bien	DB	historical_63	2,024	1.9	preliminary	thousand_tons
12	Lai Chau	LC	historical_63	2,018	6.4	final	thousand_tons
12	Lai Chau	LC	historical_63	2,019	6.9	final	thousand_tons
12	Lai Chau	LC	historical_63	2,020	9.9	final	thousand_tons
12	Lai Chau	LC	historical_63	2,021	11	final	thousand_tons
12	Lai Chau	LC	historical_63	2,022	13	final	thousand_tons
12	Lai Chau	LC	historical_63	2,023	10.7	final	thousand_tons
12	Lai Chau	LC	historical_63	2,024	9.1	preliminary	thousand_tons
14	Son La	SL	historical_63	2,018	621.8	final	thousand_tons
14	Son La	SL	historical_63	2,019	570.3	final	thousand_tons
14	Son La	SL	historical_63	2,020	512.8	final	thousand_tons
14	Son La	SL	historical_63	2,021	621.3	final	thousand_tons
14	Son La	SL	historical_63	2,022	681.6	final	thousand_tons
14	Son La	SL	historical_63	2,023	652	final	thousand_tons
14	Son La	SL	historical_63	2,024	664.1	preliminary	thousand_tons
15	Yen Bai	YB	historical_63	2,018	12.3	final	thousand_tons
15	Yen Bai	YB	historical_63	2,019	8.9	final	thousand_tons
15	Yen Bai	YB	historical_63	2,020	8.1	final	thousand_tons
15	Yen Bai	YB	historical_63	2,021	6.7	final	thousand_tons
15	Yen Bai	YB	historical_63	2,022	5.2	final	thousand_tons
15	Yen Bai	YB	historical_63	2,023	4.7	final	thousand_tons
15	Yen Bai	YB	historical_63	2,024	5.1	preliminary	thousand_tons
17	Hoa Binh	HB	historical_63	2,018	615.9	final	thousand_tons
17	Hoa Binh	HB	historical_63	2,019	621	final	thousand_tons
17	Hoa Binh	HB	historical_63	2,020	544.3	final	thousand_tons
17	Hoa Binh	HB	historical_63	2,021	513.2	final	thousand_tons
17	Hoa Binh	HB	historical_63	2,022	481.6	final	thousand_tons
17	Hoa Binh	HB	historical_63	2,023	485.7	final	thousand_tons
17	Hoa Binh	HB	historical_63	2,024	470.7	preliminary	thousand_tons
19	Thai Nguyen	TNG	historical_63	2,018	9.1	final	thousand_tons
19	Thai Nguyen	TNG	historical_63	2,019	9.1	final	thousand_tons
19	Thai Nguyen	TNG	historical_63	2,020	8.4	final	thousand_tons
19	Thai Nguyen	TNG	historical_63	2,021	6.5	final	thousand_tons
19	Thai Nguyen	TNG	historical_63	2,022	6.2	final	thousand_tons
19	Thai Nguyen	TNG	historical_63	2,023	4.8	final	thousand_tons
19	Thai Nguyen	TNG	historical_63	2,024	4.6	preliminary	thousand_tons
20	Lang Son	LS	historical_63	2,018	8.5	final	thousand_tons
20	Lang Son	LS	historical_63	2,019	7.9	final	thousand_tons
20	Lang Son	LS	historical_63	2,020	7.5	final	thousand_tons
20	Lang Son	LS	historical_63	2,021	7.3	final	thousand_tons
20	Lang Son	LS	historical_63	2,022	6.6	final	thousand_tons
20	Lang Son	LS	historical_63	2,023	5.5	final	thousand_tons
20	Lang Son	LS	historical_63	2,024	5.4	preliminary	thousand_tons
22	Quang Ninh	QN	historical_63	2,018	25.1	final	thousand_tons
22	Quang Ninh	QN	historical_63	2,019	22.6	final	thousand_tons

End of preview.

Vietnam provinces sugarcane production

Sugarcane (mia) production (thousand tons). Coverage 2018-2024. Year 2024 is preliminary. 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 (430 rows)

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

regions (42 rows)

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

national (7 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 mia phan theo dia phuong. Cleaned long panel for research use.

Citation

@misc{nso_vn_provinces_sugarcane_production,
  title = {Vietnam provinces sugarcane production},
  author = {{National Statistics Office of Vietnam}},
  note = {Unit: thousand tons.},
  year = {2024}
}

Built 2026-09-13 UTC.

Downloads last month: 52

Total file size:

118 kB