Datasets:

letrinhan
/

vn-provinces-divorces

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_status string	unit string	divorces_total float64	divorces_province_court float64	divorces_district_court float64
0	Viet Nam	VN	national	2,013	final	cases	18,308	1,499	16,809
0	Viet Nam	VN	national	2,014	final	cases	19,960	1,552	18,408
0	Viet Nam	VN	national	2,015	final	cases	24,101	1,440	22,661
0	Viet Nam	VN	national	2,016	final	cases	24,308	1,665	22,643
0	Viet Nam	VN	national	2,017	final	cases	27,948	1,800	26,148
0	Viet Nam	VN	national	2,018	final	cases	28,076	1,933	26,143
0	Viet Nam	VN	national	2,019	final	cases	25,702	2,138	23,564
0	Viet Nam	VN	national	2,020	final	cases	22,762	1,972	20,790
0	Viet Nam	VN	national	2,021	final	cases	22,132	2,369	19,763
0	Viet Nam	VN	national	2,022	final	cases	29,010	2,717	26,293
0	Viet Nam	VN	national	2,023	final	cases	32,060	3,640	28,420
0	Viet Nam	VN	national	2,024	final	cases	182,355	6,437	175,918
1	Ha Noi	HN	historical_63	2,013	final	cases	953	86	867
1	Ha Noi	HN	historical_63	2,014	final	cases	1,018	85	933
1	Ha Noi	HN	historical_63	2,015	final	cases	875	45	830
1	Ha Noi	HN	historical_63	2,016	final	cases	884	41	843
1	Ha Noi	HN	historical_63	2,017	final	cases	1,273	91	1,182
1	Ha Noi	HN	historical_63	2,018	final	cases	963	14	949
1	Ha Noi	HN	historical_63	2,019	final	cases	1,017	118	899
1	Ha Noi	HN	historical_63	2,020	final	cases	825	75	750
1	Ha Noi	HN	historical_63	2,021	final	cases	1,003	104	899
1	Ha Noi	HN	historical_63	2,022	final	cases	1,209	151	1,058
1	Ha Noi	HN	historical_63	2,023	final	cases	1,209	173	1,036
1	Ha Noi	HN	historical_63	2,024	final	cases	13,454	342	13,112
2	Ha Giang	HG	historical_63	2,013	final	cases	55	null	55
2	Ha Giang	HG	historical_63	2,014	final	cases	71	null	71
2	Ha Giang	HG	historical_63	2,015	final	cases	76	0	76
2	Ha Giang	HG	historical_63	2,016	final	cases	76	0	76
2	Ha Giang	HG	historical_63	2,017	final	cases	63	null	63
2	Ha Giang	HG	historical_63	2,018	final	cases	91	1	90
2	Ha Giang	HG	historical_63	2,019	final	cases	79	null	79
2	Ha Giang	HG	historical_63	2,020	final	cases	68	1	67
2	Ha Giang	HG	historical_63	2,021	final	cases	104	0	104
2	Ha Giang	HG	historical_63	2,022	final	cases	118	0	118
2	Ha Giang	HG	historical_63	2,023	final	cases	130	null	130
2	Ha Giang	HG	historical_63	2,024	final	cases	583	null	583
4	Cao Bang	CB	historical_63	2,013	final	cases	50	null	50
4	Cao Bang	CB	historical_63	2,014	final	cases	65	null	65
4	Cao Bang	CB	historical_63	2,015	final	cases	74	0	74
4	Cao Bang	CB	historical_63	2,016	final	cases	47	0	47
4	Cao Bang	CB	historical_63	2,017	final	cases	76	null	76
4	Cao Bang	CB	historical_63	2,018	final	cases	89	1	88
4	Cao Bang	CB	historical_63	2,019	final	cases	64	2	62
4	Cao Bang	CB	historical_63	2,020	final	cases	52	0	52
4	Cao Bang	CB	historical_63	2,021	final	cases	58	2	56
4	Cao Bang	CB	historical_63	2,022	final	cases	102	0	102
4	Cao Bang	CB	historical_63	2,023	final	cases	101	1	100
4	Cao Bang	CB	historical_63	2,024	final	cases	619	null	619
6	Bac Kan	BK	historical_63	2,013	final	cases	54	1	53
6	Bac Kan	BK	historical_63	2,014	final	cases	31	1	30
6	Bac Kan	BK	historical_63	2,015	final	cases	48	1	47
6	Bac Kan	BK	historical_63	2,016	final	cases	27	0	27
6	Bac Kan	BK	historical_63	2,017	final	cases	41	1	40
6	Bac Kan	BK	historical_63	2,018	final	cases	35	null	35
6	Bac Kan	BK	historical_63	2,019	final	cases	42	null	42
6	Bac Kan	BK	historical_63	2,020	final	cases	35	2	33
6	Bac Kan	BK	historical_63	2,021	final	cases	57	3	54
6	Bac Kan	BK	historical_63	2,022	final	cases	48	5	43
6	Bac Kan	BK	historical_63	2,023	final	cases	55	3	52
6	Bac Kan	BK	historical_63	2,024	final	cases	536	9	527
8	Tuyen Quang	TQ	historical_63	2,013	final	cases	83	2	81
8	Tuyen Quang	TQ	historical_63	2,014	final	cases	89	3	86
8	Tuyen Quang	TQ	historical_63	2,015	final	cases	128	1	127
8	Tuyen Quang	TQ	historical_63	2,016	final	cases	125	0	125
8	Tuyen Quang	TQ	historical_63	2,017	final	cases	146	null	146
8	Tuyen Quang	TQ	historical_63	2,018	final	cases	181	2	179
8	Tuyen Quang	TQ	historical_63	2,019	final	cases	216	2	214
8	Tuyen Quang	TQ	historical_63	2,020	final	cases	380	2	378
8	Tuyen Quang	TQ	historical_63	2,021	final	cases	338	1	337
8	Tuyen Quang	TQ	historical_63	2,022	final	cases	258	9	249
8	Tuyen Quang	TQ	historical_63	2,023	final	cases	432	7	425
8	Tuyen Quang	TQ	historical_63	2,024	final	cases	1,614	32	1,582
10	Lao Cai	LCA	historical_63	2,013	final	cases	69	null	69
10	Lao Cai	LCA	historical_63	2,014	final	cases	76	null	76
10	Lao Cai	LCA	historical_63	2,015	final	cases	108	0	108
10	Lao Cai	LCA	historical_63	2,016	final	cases	94	0	94
10	Lao Cai	LCA	historical_63	2,017	final	cases	132	null	132
10	Lao Cai	LCA	historical_63	2,018	final	cases	81	1	80
10	Lao Cai	LCA	historical_63	2,019	final	cases	129	1	128
10	Lao Cai	LCA	historical_63	2,020	final	cases	108	0	108
10	Lao Cai	LCA	historical_63	2,021	final	cases	167	1	166
10	Lao Cai	LCA	historical_63	2,022	final	cases	160	2	158
10	Lao Cai	LCA	historical_63	2,023	final	cases	170	null	170
10	Lao Cai	LCA	historical_63	2,024	final	cases	1,315	8	1,307
11	Dien Bien	DB	historical_63	2,013	final	cases	46	null	46
11	Dien Bien	DB	historical_63	2,014	final	cases	56	null	56
11	Dien Bien	DB	historical_63	2,015	final	cases	83	0	83
11	Dien Bien	DB	historical_63	2,016	final	cases	61	0	61
11	Dien Bien	DB	historical_63	2,017	final	cases	72	null	72
11	Dien Bien	DB	historical_63	2,018	final	cases	102	null	102
11	Dien Bien	DB	historical_63	2,019	final	cases	94	null	94
11	Dien Bien	DB	historical_63	2,020	final	cases	97	0	97
11	Dien Bien	DB	historical_63	2,021	final	cases	127	1	126
11	Dien Bien	DB	historical_63	2,022	final	cases	157	0	157
11	Dien Bien	DB	historical_63	2,023	final	cases	215	1	214
11	Dien Bien	DB	historical_63	2,024	final	cases	508	1	507
12	Lai Chau	LC	historical_63	2,013	final	cases	27	null	27
12	Lai Chau	LC	historical_63	2,014	final	cases	11	null	11
12	Lai Chau	LC	historical_63	2,015	final	cases	18	0	18
12	Lai Chau	LC	historical_63	2,016	final	cases	24	0	24

End of preview.

Vietnam provinces divorce cases by court level

Number of adjudicated divorce cases by total, province-level court and district-level court. Coverage 2013-2024. 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 (756 rows)

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

regions (72 rows)

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

national (12 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: So vu ly hon da xet xu phan theo dia phuong va phan theo cap xet xu. Cleaned long panel for research use.

Citation

@misc{nso_vn_provinces_divorces,
  title = {Vietnam provinces divorce cases by court level},
  author = {{National Statistics Office of Vietnam}},
  note = {Unit: cases. Columns: divorces_total, divorces_province_court, divorces_district_court.},
  year = {2024}
}

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