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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 ({'Harga (Rp)', 'Status Instalasi', 'Port', 'Nama Stasiun', 'Jenis Konektor', 'Status Konektor', 'Nomor Identitias', 'Merek Mesin'}) and 2 missing columns ({'Unnamed: 1', 'Provinsi/Kabupaten/Kota'}). This happened while the csv dataset builder was generating data using hf://datasets/umarmanggar/Datathon-Pemuda_Kalcer/SPKLU/SPKLU-KONEKTOR.csv (at revision d4cb076858f76f0e1b50a3cf306294e7b7a6082e) 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 1831, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast Nomor Identitias: string Nama Stasiun: string Merek Mesin: string Jenis Konektor: string Status Konektor: string Status Instalasi: string Port: double Harga (Rp): double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1260 to {'Provinsi/Kabupaten/Kota': Value('string'), 'Unnamed: 1': Value('string')} 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 1456, 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 1055, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 8 new columns ({'Harga (Rp)', 'Status Instalasi', 'Port', 'Nama Stasiun', 'Jenis Konektor', 'Status Konektor', 'Nomor Identitias', 'Merek Mesin'}) and 2 missing columns ({'Unnamed: 1', 'Provinsi/Kabupaten/Kota'}). This happened while the csv dataset builder was generating data using hf://datasets/umarmanggar/Datathon-Pemuda_Kalcer/SPKLU/SPKLU-KONEKTOR.csv (at revision d4cb076858f76f0e1b50a3cf306294e7b7a6082e) 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)
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Provinsi/Kabupaten/Kota
string | Unnamed: 1
string |
---|---|
null |
[Metode Baru] Indeks Pembangunan Manusia
|
null |
2024
|
ACEH
|
74.03
|
Simeulue
|
69.01
|
Aceh Singkil
|
70.75
|
Aceh Selatan
|
69.1
|
Aceh Tenggara
|
71.7
|
Aceh Timur
|
69.87
|
Aceh Tengah
|
75.41
|
Aceh Barat
|
73.69
|
Aceh Besar
|
75.13
|
Pidie
|
72.31
|
Bireuen
|
74.45
|
Aceh Utara
|
71.7
|
Aceh Barat Daya
|
68.75
|
Gayo Lues
|
69.83
|
Aceh Tamiang
|
72.32
|
Nagan Raya
|
71.72
|
Aceh Jaya
|
71.83
|
Bener Meriah
|
75.01
|
Pidie Jaya
|
75.16
|
Kota Banda Aceh
|
87.17
|
Kota Sabang
|
78.32
|
Kota Langsa
|
78.81
|
Kota Lhokseumawe
|
79.55
|
Kota Subulussalam
|
68.04
|
SUMATERA UTARA
|
74.02
|
Nias
|
65.55
|
Mandailing Natal
|
69.33
|
Tapanuli Selatan
|
72.14
|
Tapanuli Tengah
|
71.52
|
Tapanuli Utara
|
75.23
|
Toba Samosir / Toba
|
76.91
|
Labuhan Batu
|
74.18
|
Asahan
|
72.09
|
Simalungun
|
74.97
|
Dairi
|
73.92
|
Karo
|
76.55
|
Deli Serdang
|
76.92
|
Langkat
|
72.73
|
Nias Selatan
|
65.02
|
Humbang Hasundutan
|
71.59
|
Pakpak Bharat
|
70.36
|
Samosir
|
72.88
|
Serdang Bedagai
|
72.47
|
Batu Bara
|
70.83
|
Padang Lawas Utara
|
72.32
|
Padang Lawas
|
71.27
|
Labuhan Batu Selatan
|
73.67
|
Labuhan Batu Utara
|
74.4
|
Nias Utara
|
65.62
|
Nias Barat
|
64.67
|
Kota Sibolga
|
75.66
|
Kota Tanjung Balai
|
71.1
|
Kota Pematang Siantar
|
81.17
|
Kota Tebing Tinggi
|
77.45
|
Kota Medan
|
82.76
|
Kota Binjai
|
78.1
|
Kota Padangsidimpuan
|
76.96
|
Kota Gunungsitoli
|
71.41
|
SUMATERA BARAT
|
74.49
|
Kepulauan Mentawai
|
63.99
|
Pesisir Selatan
|
72.02
|
Solok
|
71.02
|
Sijunjung
|
70.23
|
Tanah Datar
|
74.9
|
Padang Pariaman
|
73.1
|
Agam
|
74.66
|
Lima Puluh Kota
|
71.14
|
Pasaman
|
68.89
|
Solok Selatan
|
71.5
|
Dharmasraya
|
74.06
|
Pasaman Barat
|
70.93
|
Kota Padang
|
83.99
|
Kota Solok
|
80
|
Kota Sawah Lunto
|
75.13
|
Kota Padang Panjang
|
80.17
|
Kota Bukittinggi
|
82.51
|
Kota Payakumbuh
|
80.61
|
Kota Pariaman
|
78.88
|
RIAU
|
74.79
|
Kuantan Singingi
|
72.33
|
Indragiri Hulu
|
71.48
|
Indragiri Hilir
|
68.38
|
Pelalawan
|
74.08
|
Siak
|
75.45
|
Kampar
|
74.85
|
Rokan Hulu
|
71.82
|
Bengkalis
|
75.28
|
Rokan Hilir
|
71.2
|
Kepulauan Meranti
|
67.92
|
Kota Pekanbaru
|
82.89
|
Kota Dumai
|
76.19
|
JAMBI
|
73.43
|
Kerinci
|
73.11
|
Merangin
|
71.66
|
Sarolangun
|
72.01
|
Batang Hari
|
71.67
|
Muaro Jambi
|
71.91
|
Tanjung Jabung Timur
|
67.54
|
End of preview.
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