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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 8 new columns ({'n_score_values', 'source_province_raw', 'geo_code', 'year', 'geo_name', 'geo_system', 'geo_short', 'has_pgi_total'}) and 7 missing columns ({'year_end', 'level', 'year_start', 'n_years', 'label_en', 'indicator', 'schema_key'}).

This happened while the csv dataset builder was generating data using

hf://datasets/letrinhan/vn-pgi-provincial/data/coverage.csv (at revision 7468d378c1ee59750a01bc025538b75e595eb808), ['hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/codebook.csv', 'hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/coverage.csv', 'hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/provinces_long.csv', 'hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/provinces_wide.csv', 'hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/year_meta.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 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 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              geo_code: int64
              geo_name: string
              geo_short: string
              geo_system: string
              year: int64
              n_score_values: int64
              has_pgi_total: bool
              source_province_raw: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1235
              to
              {'indicator': Value('string'), 'level': Value('string'), 'label_en': Value('string'), 'schema_key': Value('string'), 'year_start': Value('int64'), 'year_end': Value('int64'), 'n_years': Value('int64')}
              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 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 1850, 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 8 new columns ({'n_score_values', 'source_province_raw', 'geo_code', 'year', 'geo_name', 'geo_system', 'geo_short', 'has_pgi_total'}) and 7 missing columns ({'year_end', 'level', 'year_start', 'n_years', 'label_en', 'indicator', 'schema_key'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/letrinhan/vn-pgi-provincial/data/coverage.csv (at revision 7468d378c1ee59750a01bc025538b75e595eb808), ['hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/codebook.csv', 'hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/coverage.csv', 'hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/provinces_long.csv', 'hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/provinces_wide.csv', 'hf://datasets/letrinhan/vn-pgi-provincial@7468d378c1ee59750a01bc025538b75e595eb808/data/year_meta.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)

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.

indicator
string
level
string
label_en
string
schema_key
string
year_start
int64
year_end
int64
n_years
int64
pgi_total
aggregate
Published PGI total (≈ unweighted / equal-weight)
pgi_total
2,022
2,024
3
pgi_unweighted
aggregate
Unweighted PGI (sum of 4 subindices)
pgi_unweighted
2,022
2,024
3
pgi_rank
rank
PGI provincial ranking (1=best)
pgi_rank
2,022
2,024
3
env_standards
subindex
Maintaining minimum environmental standards
env_standards
2,022
2,024
3
green_incentives
subindex
Environmental incentives and support services
green_incentives
2,022
2,024
3
green_leadership
subindex
Environmental leadership / promoting green practices
green_leadership
2,022
2,024
3
pollution_disaster
subindex
Minimizing pollution and climate-risk impacts on firms
pollution_disaster
2,022
2,024
3
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End of preview.

Vietnam PGI provincial green index scores (2022-2024)

Multi-year Provincial Green Index (PGI) panel for Vietnam, 2022-2024. Four equal-weight environmental-governance subindices plus unweighted/published totals and ranks. Geography normalized to the historical 63-province system via ar_core.vn_geo. Cross-checked against VCCI component sheets and the official PGI ranking table on pcivietnam.vn.

Files

provinces_long (1323 rows)

  • data/provinces_long.csv
  • data/provinces_long.dta
  • data/provinces_long.xlsx

provinces_wide (189 rows)

  • data/provinces_wide.csv
  • data/provinces_wide.dta
  • data/provinces_wide.xlsx

codebook (7 rows)

  • data/codebook.csv
  • data/codebook.dta
  • data/codebook.xlsx

coverage (189 rows)

  • data/coverage.csv
  • data/coverage.dta
  • data/coverage.xlsx

year_meta (3 rows)

  • data/year_meta.csv
  • data/year_meta.dta
  • data/year_meta.xlsx

Load

Stata:

use "data/provinces_long.dta", clear

R:

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

SPSS: open the .xlsx or .csv file.

Source

Upstream: Vietnam Chamber of Commerce and Industry (VCCI) - Provincial Green Index (PGI), https://pcivietnam.vn. Annual provincial indicator appendices cleaned and geo-normalized for research use. totals cross-checked against the official PGI ranking table. Please review VCCI PGI citation / use terms before commercial redistribution. cite the official PGI/PCI-PGI reports for the survey years you use.

Raw originals

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

Citation

@misc{pgi_vn_provinces_panel,
  title = {Vietnam PGI provincial green index scores (2022--2024)},
  author = {{Vietnam Chamber of Commerce and Industry (VCCI)}},
  howpublished = {\url{https://pcivietnam.vn}},
  note = {Cleaned multi-year province panel; four equal-weight subindices},
  year = {2024}
}

Built 2026-09-14 UTC.

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