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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 6 new columns ({'stopword removal', 'tokenize', 'Review Text', 'cleaning', 'normalisasi', 'case_folding'}) and 2 missing columns ({'Sentiment', 'Score'}).
This happened while the csv dataset builder was generating data using
hf://datasets/kangdap/halodoc-app-review/Hasil_Preprocessing_Data.csv (at revision 7efe621ae7d8e15ee4257d7a8a17fada876a6277)
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
Rating: int64
Review Text: string
cleaning: string
case_folding: string
normalisasi: string
tokenize: string
stopword removal: string
steming_data: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1227
to
{'Rating': Value('int64'), 'steming_data': Value('string'), 'Score': Value('int64'), 'Sentiment': 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 6 new columns ({'stopword removal', 'tokenize', 'Review Text', 'cleaning', 'normalisasi', 'case_folding'}) and 2 missing columns ({'Sentiment', 'Score'}).
This happened while the csv dataset builder was generating data using
hf://datasets/kangdap/halodoc-app-review/Hasil_Preprocessing_Data.csv (at revision 7efe621ae7d8e15ee4257d7a8a17fada876a6277)
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.
Rating int64 | steming_data string | Score int64 | Sentiment string |
|---|---|---|---|
1 | mesan obat kendari sulawesi tenggara sedia apotik rekan halodocnya resep obat dokter sedia cuman obat | 0 | Netral |
5 | bantu mana sakit untung halodoc bantu kasih saran tahap obat | -2 | Negatif |
5 | dokter bantu | 0 | Netral |
5 | bantu kendala berkonsuktas dokter tatap muka | 1 | Positif |
5 | ramah ramah dokter | 0 | Netral |
5 | bantu | 0 | Netral |
5 | respon cepat | 1 | Positif |
1 | selesai konsultasi habis dokter sulit diagnosis sakit derita saran tolong timer panjang menit konsultasi jiwa cepatapalagi konsultasi via online langsung problem jadi derita pasien berbedabeda kadang pasien timer fokus menjelaskansprti tergupuh | 2 | Positif |
5 | good responx cepat mudah konsultasi batas | 1 | Positif |
5 | muas moga ubah wajah | 2 | Positif |
5 | suka halo docdengan rebah konsultasi dokter specialist alam trade record dokter komplit taudokter butuh | 1 | Positif |
1 | konsultasi sapa n bayar chat lebar balas kecewa | 2 | Positif |
4 | mantwap | 0 | Netral |
5 | cepat sigap moga lekas sembuh | 2 | Positif |
5 | buagus | 0 | Netral |
5 | bantu terimkasih halo doc | 1 | Positif |
5 | mantap layan | 1 | Positif |
5 | servis bagus | 1 | Positif |
5 | bantu cepat | 0 | Netral |
1 | bikin order obat kirim next day pakai instan obat driver hedeh | -2 | Negatif |
5 | bantu repot rs | -1 | Negatif |
5 | mudah pasien obat | -1 | Negatif |
5 | bagus cuman jarang promo | 1 | Positif |
5 | batu | 0 | Netral |
5 | bantu banget heheh | 1 | Positif |
5 | bikin nyaman konsultasi dokter | 2 | Positif |
5 | keren cepat manfaat gaws macet rs sakit ringan | 0 | Netral |
5 | bagus | 0 | Netral |
5 | mudah sakit | -1 | Negatif |
5 | ok mantap | 2 | Positif |
5 | muas | 1 | Positif |
5 | resep obat tinggal beli apotik mantap | 1 | Positif |
5 | cepat bantu | 0 | Netral |
5 | alhamdulillah puas dokter detail | 3 | Positif |
5 | oke | 1 | Positif |
1 | jaring buka app aman halodoc reload mulu untung ngambul konsultasi jam mah habis direload reload doang | 2 | Positif |
5 | halodoc aplikasi bagus mudah berkomsultasi dokterdokternya friendly | -1 | Negatif |
5 | informatif bantu | 0 | Netral |
5 | bagus manfaat | 1 | Positif |
1 | layan bantu kirim obat vitamin langgan | 1 | Positif |
1 | koneksi buruk chat baca dokter respon dokter lambat singkat buang uang chat gpt konsultasi buruk pakai halo doc | 2 | Positif |
4 | bagus cepat | 0 | Netral |
5 | gercep terimakasi dokter | 0 | Netral |
5 | baik dokter ya jelas mudah erti | 1 | Positif |
5 | bagus banget | 1 | Positif |
5 | bantu | 0 | Netral |
5 | terimakasih cipta aplikasi halo dok | 2 | Positif |
5 | bantu hadir halodoc ruang pasien takut kunjung langsung alas minder mental hasil periksa praktis efisien biaya | 2 | Positif |
5 | bantu dokter ya ramah paham | 1 | Positif |
5 | istimewa | 0 | Netral |
4 | kemarin beli thermometer pakai aplikasi pakai jasa kirim grab biar instan aplikasi selesai barang cari pas chat cs halodoc kirim foto kirim grabnya foto barang suruh cari salah halodoc kirim grabnya amanah saran rekomendasi cs halodoknya bantu | 4 | Positif |
5 | amattt membantuuuuu | 0 | Netral |
5 | cobacoba not bad bagus | -1 | Negatif |
5 | bantu hemat hemat biaya | 0 | Netral |
3 | baik tambah metode bayar virtual account | 0 | Netral |
5 | respon | 1 | Positif |
5 | bantu | 0 | Netral |
5 | muas | 1 | Positif |
5 | ngabantu situasi darurat | 0 | Netral |
4 | ok | 1 | Positif |
5 | good | 1 | Positif |
5 | konsultasi mudah ribet | 0 | Netral |
5 | cepat tanggap | 1 | Positif |
5 | dokter baik banget sakit kmna lemes | -1 | Negatif |
5 | sat set | 0 | Netral |
5 | good | 1 | Positif |
5 | mantaf | 0 | Netral |
5 | aplikasi bagus capek antri rumah sakit | -1 | Negatif |
5 | good service for personal | 1 | Positif |
5 | bantu sih kali pakai sembuh | 1 | Positif |
5 | respon dokter cepat | 1 | Positif |
5 | layan cepat bantu | 0 | Netral |
5 | respon cepat aplikasi mudah | 0 | Netral |
1 | payment sambung dokter baca chat menit room chat chat langsung ceklis sesi nih halodoc | 3 | Positif |
5 | response solusi ya efektif | 3 | Positif |
5 | obat lengkap beli offline apotik kirim ya cepat | 1 | Positif |
5 | bguss bgttttt | 0 | Netral |
5 | alhamdulillah bantu rumah | 2 | Positif |
5 | terima kasih jelas dokter mudah erti | 1 | Positif |
5 | manfaat | 1 | Positif |
5 | bantu suka respon dokter | 1 | Positif |
5 | bantu banget aplikasi halodoc | 0 | Netral |
4 | mudah dokter ramah jelas mudah erti | 0 | Netral |
5 | bantu kurang dokter spesialis daerah | 0 | Netral |
5 | dokter hehehe | 0 | Netral |
5 | dokter nurul pegalaman paten baik | 0 | Netral |
5 | cepat | 0 | Netral |
5 | cepat | 0 | Netral |
5 | cepat respon | 1 | Positif |
5 | baguussss | 0 | Netral |
5 | bagus ribet bantu | -1 | Negatif |
5 | mantul | 0 | Netral |
5 | bagus bantu orang obat rumah | 0 | Netral |
5 | bantu sakit libur faskes tutup | -1 | Negatif |
5 | terbaikkkkkk mudah | 0 | Netral |
5 | bagus layan | 0 | Netral |
5 | terimakasih dokter natalia spkk ramah jelas detail | 2 | Positif |
2 | bisa apes banget sakit duit irit gajiangua niat konsultasi halodoc bagus banget eh zonk astagfirullah konsultasi arah ikut bayar hasil tf gilir chat tulis sibuk coba ujung ya hangusmalah unptuk bayar astagfirullah sedekah | 3 | Positif |
5 | respon cepat ramah | 1 | Positif |
5 | dokter cepat respon | 1 | Positif |
End of preview.
Halodoc App Review
Anggota Kelompok
- Hamud Abdul Aziz - Universitas Padjadjaran
- Hafizh Fadl Muhammad - Universitas Padjadjaran
- Dafa Ghani Abdul Rabbani - Universitas Padjadjaran
Deskripsi
Dataset ini merupakan kumpulan ulasan aplikasi Halodoc yang diperoleh dengan cara scraping melalui Google Play Store. Ada 4 versi dataset yang tersedia:
hasil_scraper_ulasan_app_Halodoc.csv- Dataset mentah hasil scraping ulasan aplikasi Halodoc di Google Play Store.Hasil_Preprocessing_Data.csv- Dataset yang sudah di-preprocessing (case-folding, normalisasi, tokenize, steming).Hasil_Labelling_Data.csv- Dataset yang sudah diberi label dengan metode Lexicon-Based Labeling.hasil_klasifikasi- Dataset yang sudah di klasifikasi dengan menggunakan model yang sudah kami buat.
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