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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 19 new columns ({'pour_bv', 'img', 'prenom', 'bulletins_valides', 'bv_attendus', 'total_votants', 'candidat_id', 'sigle', 'bv_traites', 'ordre_bulletin', 'postnom', 'electeurs_attendus', 'province', 'nom', 'voixobtenues', 'bulletins_blancs', 'sexe', 'pour_cand', 'pour_votants'}) and 2 missing columns ({'circonscription_id', 'circonscription'}).
This happened while the csv dataset builder was generating data using
hf://datasets/bernard-ng/drc-elections-2023/resultat_province.csv (at revision 7f14d9ea8b0e804258bfccf4d7db651da8c12f02)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
province_id: int64
ordre_bulletin: double
candidat_id: string
nom: string
sigle: string
sexe: string
province: string
voixobtenues: int64
pour_cand: double
bv_traites: double
bv_attendus: double
pour_bv: double
electeurs_attendus: double
bulletins_valides: double
bulletins_blancs: double
total_votants: double
pour_votants: double
postnom: string
prenom: string
img: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2660
to
{'circonscription_id': Value(dtype='int64', id=None), 'circonscription': Value(dtype='string', id=None), 'province_id': Value(dtype='int64', id=None)}
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 1420, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1052, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 19 new columns ({'pour_bv', 'img', 'prenom', 'bulletins_valides', 'bv_attendus', 'total_votants', 'candidat_id', 'sigle', 'bv_traites', 'ordre_bulletin', 'postnom', 'electeurs_attendus', 'province', 'nom', 'voixobtenues', 'bulletins_blancs', 'sexe', 'pour_cand', 'pour_votants'}) and 2 missing columns ({'circonscription_id', 'circonscription'}).
This happened while the csv dataset builder was generating data using
hf://datasets/bernard-ng/drc-elections-2023/resultat_province.csv (at revision 7f14d9ea8b0e804258bfccf4d7db651da8c12f02)
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.
circonscription_id
int64 | circonscription
string | province_id
int64 |
|---|---|---|
100,001 | BANDALUNGWA | 1 |
100,002 | BARUMBU | 1 |
100,003 | BUMBU | 1 |
100,004 | GOMBE | 1 |
100,005 | KALAMU | 1 |
100,006 | KASA-VUBU | 1 |
100,007 | KIMBANSEKE | 1 |
100,008 | KINSHASA | 1 |
100,009 | KINTAMBO | 1 |
100,010 | KISENSO | 1 |
100,011 | LEMBA | 1 |
100,012 | LIMETE | 1 |
100,013 | LINGWALA | 1 |
100,014 | MAKALA | 1 |
100,015 | MALUKU | 1 |
100,016 | MASINA | 1 |
100,017 | MATETE | 1 |
100,018 | MONT-NGAFULA | 1 |
100,019 | NDJILI | 1 |
100,020 | NGABA | 1 |
100,021 | NGALIEMA | 1 |
100,022 | NGIRI-NGIRI | 1 |
100,023 | NSELE | 1 |
100,024 | SELEMBAO | 1 |
2,011 | MATADI VILLE | 2 |
2,012 | BOMA VILLE | 2 |
2,024 | MOANDA | 2 |
2,031 | TSHELA | 2 |
2,032 | SEKE-BANZA | 2 |
2,033 | LUKULA | 2 |
2,041 | MBANZA-NGUNGU | 2 |
2,042 | SONGOLOLO | 2 |
2,043 | LUOZI | 2 |
2,051 | MADIMBA | 2 |
2,052 | KASANGULU | 2 |
2,053 | KIMVULA | 2 |
3,042 | KENGE VILLE | 3 |
3,051 | KENGE | 3 |
3,052 | FESHI | 3 |
3,053 | KAHEMBA | 3 |
3,054 | KASONGO-LUNDA | 3 |
3,055 | POPOKABAKA | 3 |
3,011 | BANDUNDU VILLE | 4 |
3,012 | KIKWIT VILLE | 4 |
3,031 | BULUNGU | 4 |
3,032 | MASI-MANIMBA | 4 |
3,033 | BAGATA | 4 |
3,034 | IDIOFA | 4 |
3,035 | GUNGU | 4 |
3,021 | INONGO | 5 |
3,022 | KIRI | 5 |
3,023 | OSHWE | 5 |
3,024 | KUTU | 5 |
3,025 | MUSHIE | 5 |
3,026 | BOLOBO | 5 |
3,028 | YUMBI | 5 |
3,039 | INONGO VILLE | 5 |
4,011 | MBANDAKA VILLE | 6 |
4,022 | BOLOMBA | 6 |
4,023 | INGENDE | 6 |
4,024 | BIKORO | 6 |
4,025 | LUKOLELA | 6 |
4,026 | MANKANZA | 6 |
4,027 | BOMONGO | 6 |
4,012 | GBADOLITE VILLE | 7 |
4,051 | MOBAYI-MBONGO | 7 |
4,052 | YAKOMA | 7 |
4,053 | BUSINGA | 7 |
4,054 | BOSOBOLO | 7 |
4,013 | ZONGO VILLE | 8 |
4,016 | GEMENA VILLE | 8 |
4,031 | GEMENA | 8 |
4,032 | BUDJALA | 8 |
4,033 | KUNGU | 8 |
4,034 | LIBENGE | 8 |
4,017 | LISALA VILLE | 9 |
4,061 | LISALA | 9 |
4,062 | BUMBA | 9 |
4,063 | BONGANDANGA | 9 |
4,019 | BOENDE VILLE | 10 |
4,071 | BOENDE | 10 |
4,072 | BEFALE | 10 |
4,073 | DJOLU | 10 |
4,074 | IKELA | 10 |
4,075 | BOKUNGU | 10 |
4,076 | MONKOTO | 10 |
5,011 | KISANGANI VILLE | 11 |
5,021 | BANALIA | 11 |
5,022 | BAFWASENDE | 11 |
5,023 | UBUNDU | 11 |
5,024 | OPALA | 11 |
5,025 | ISANGI | 11 |
5,026 | YAHUMA | 11 |
5,027 | BASOKO | 11 |
5,031 | BUTA | 12 |
5,032 | AKETI | 12 |
5,033 | BONDO | 12 |
5,034 | ANGO | 12 |
5,035 | BAMBESA | 12 |
5,036 | POKO | 12 |
End of preview.
DRC's Elections 2023 - Results
Comprehensive Dataset on Democratic Republic of Congo's 2023 Elections: An extensive collection of electoral data, including voter demographics, polling results, candidate information, and regional analysis, providing valuable insights into the democratic process and electoral outcomes in the DRC.
https://github.com/bernard-ng/drc-election-2023
Acknowledgment
The dataset provided in these CSV files originates from the Commission Électorale Nationale Indépendante (CENI), the National Independent Electoral Commission of the Democratic Republic of Congo (DRC). CENI is responsible for overseeing electoral processes in the country, ensuring fairness, transparency, and accuracy in elections.
The compilation and curation of the "RDC Election 2023" were conducted by Tshabu Ngandu Bernard with the primary objective of facilitating research and analysis related to the Democratic Republic of Congo.
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