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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 2 new columns ({'Unnamed: 1', 'Kab/Kota'}) and 5 missing columns ({'jumlah_lokasi', 'jumlah_tower', 'jumlah_unit', 'kota', 'jumlah_blok'}).

This happened while the csv dataset builder was generating data using

hf://datasets/rakuks/Dataset_lstm/Persentase Penduduk Miskin menurut Kabupaten_Kota di Provinsi DKI Jakarta, 2023.csv (at revision 14ec48d20b17acf20e36cd18b6166ddebd97c1ec)

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
              Kab/Kota: string
              Unnamed: 1: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 495
              to
              {'kota': Value('string'), 'jumlah_lokasi': Value('int64'), 'jumlah_unit': Value('int64'), 'jumlah_blok': Value('int64'), 'jumlah_tower': 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 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 2 new columns ({'Unnamed: 1', 'Kab/Kota'}) and 5 missing columns ({'jumlah_lokasi', 'jumlah_tower', 'jumlah_unit', 'kota', 'jumlah_blok'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/rakuks/Dataset_lstm/Persentase Penduduk Miskin menurut Kabupaten_Kota di Provinsi DKI Jakarta, 2023.csv (at revision 14ec48d20b17acf20e36cd18b6166ddebd97c1ec)
              
              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.

kota
string
jumlah_lokasi
int64
jumlah_unit
int64
jumlah_blok
int64
jumlah_tower
int64
jakarta selatan
3
629
6
1
jakarta timur
18
11,348
85
15
jakarta pusat
7
2,322
22
0
jakarta barat
6
4,018
18
14
jakarta utara
8
10,449
52
21
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
jakarta pusat
null
null
null
null
jakarta pusat
null
null
null
null
jakarta pusat
null
null
null
null
jakarta pusat
null
null
null
null
jakarta pusat
null
null
null
null
jakarta pusat
null
null
null
null
jakarta pusat
null
null
null
null
jakarta pusat
null
null
null
null
jakarta pusat
null
null
null
null
jakarta utara
null
null
null
null
jakarta utara
null
null
null
null
jakarta utara
null
null
null
null
jakarta utara
null
null
null
null
jakarta utara
null
null
null
null
jakarta utara
null
null
null
null
jakarta utara
null
null
null
null
jakarta barat
null
null
null
null
jakarta barat
null
null
null
null
jakarta barat
null
null
null
null
jakarta barat
null
null
null
null
jakarta barat
null
null
null
null
jakarta barat
null
null
null
null
jakarta barat
null
null
null
null
jakarta barat
null
null
null
null
jakarta barat
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta selatan
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta timur
null
null
null
null
jakarta pusat
0.777778
258
2.444444
0
jakarta pusat
0.777778
258
2.444444
0
jakarta pusat
0.777778
258
2.444444
0
jakarta pusat
0.777778
258
2.444444
0
jakarta pusat
0.777778
258
2.444444
0
jakarta pusat
0.777778
258
2.444444
0
jakarta pusat
0.777778
258
2.444444
0
jakarta pusat
0.777778
258
2.444444
0
jakarta pusat
0.777778
258
2.444444
0
jakarta utara
1.142857
1,492.714286
7.428571
3
jakarta utara
1.142857
1,492.714286
7.428571
3
jakarta utara
1.142857
1,492.714286
7.428571
3
jakarta utara
1.142857
1,492.714286
7.428571
3
jakarta utara
1.142857
1,492.714286
7.428571
3
jakarta utara
1.142857
1,492.714286
7.428571
3
jakarta utara
1.142857
1,492.714286
7.428571
3
jakarta barat
0.666667
446.444444
2
1.555556
jakarta barat
0.666667
446.444444
2
1.555556
jakarta barat
0.666667
446.444444
2
1.555556
jakarta barat
0.666667
446.444444
2
1.555556
jakarta barat
0.666667
446.444444
2
1.555556
jakarta barat
0.666667
446.444444
2
1.555556
jakarta barat
0.666667
446.444444
2
1.555556
jakarta barat
0.666667
446.444444
2
1.555556
jakarta barat
0.666667
446.444444
2
1.555556
jakarta selatan
0.272727
57.181818
0.545455
0.090909
jakarta selatan
0.272727
57.181818
0.545455
0.090909
jakarta selatan
0.272727
57.181818
0.545455
0.090909
jakarta selatan
0.272727
57.181818
0.545455
0.090909
jakarta selatan
0.272727
57.181818
0.545455
0.090909
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