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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 ({'premise_type', 'premise_code', 'premise', 'state', 'district', 'address'}) and 5 missing columns ({'unit', 'item_group', 'item_code', 'item_category', 'item'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Star-gazer/WIX1002/lookup_premise.csv (at revision 02f47c00bb7708362ec4e522a96003b03604b7a2)
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
premise_code: double
premise: string
address: string
premise_type: string
state: string
district: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 965
to
{'item_code': Value(dtype='int64', id=None), 'item': Value(dtype='string', id=None), 'unit': Value(dtype='string', id=None), 'item_group': Value(dtype='string', id=None), 'item_category': Value(dtype='string', 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 1321, 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 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 ({'premise_type', 'premise_code', 'premise', 'state', 'district', 'address'}) and 5 missing columns ({'unit', 'item_group', 'item_code', 'item_category', 'item'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Star-gazer/WIX1002/lookup_premise.csv (at revision 02f47c00bb7708362ec4e522a96003b03604b7a2)
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.
item_code
int64 | item
string | unit
string | item_group
string | item_category
string |
|---|---|---|---|---|
-1 | null | null | null | null |
1 | AYAM BERSIH - STANDARD | 1kg | BARANGAN SEGAR | AYAM |
2 | AYAM BERSIH - SUPER | 1kg | BARANGAN SEGAR | AYAM |
3 | AYAM HIDUP | 1kg | BARANGAN SEGAR | AYAM |
9 | DAGING KAMBING BEBIRI IMPORT BERTULANG (MUTTON) (AUSTRALIA - KOTAK) | 1kg | BARANGAN SEGAR | DAGING |
10 | DAGING KAMBING BEBIRI IMPORT BERTULANG (MUTTON) (NEW ZEALAND - KOTAK) | 1kg | BARANGAN SEGAR | DAGING |
11 | DAGING KAMBING BEBIRI IMPORT TANPA TULANG (MUTTON) (TIDAK TERMASUK PAHA - AUSTRALIA) | 1kg | BARANGAN SEGAR | DAGING |
12 | DAGING KAMBING BEBIRI IMPORT TANPA TULANG (MUTTON) (TIDAK TERMASUK PAHA - NEW ZEALAND) | 1kg | BARANGAN SEGAR | DAGING |
14 | DAGING KERBAU IMPORT (INDIA) * (TOP SIDE) | 1kg | BARANGAN SEGAR | DAGING |
16 | BETIK BIASA | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
18 | PISANG BERANGAN | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
19 | PISANG EMAS | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
20 | TEMBIKAI MERAH BERBIJI | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
21 | TEMBIKAI MERAH TANPA BIJI | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
22 | DRAGON FRUIT MERAH | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
24 | TEMBIKAI SUSU | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
25 | NENAS BIASA (JOSAPINE/MORRIS/SARAWAK) | 1 biji | BARANGAN SEGAR | BUAH-BUAHAN |
26 | ANGGUR HIJAU BERBIJI | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
27 | ANGGUR MERAH BERBIJI | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
31 | LAI KUNING (SAIZ M) | 1 biji | BARANGAN SEGAR | BUAH-BUAHAN |
38 | JAMBU BATU BERBIJI | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
39 | JAMBU BATU TANPA BIJI | 1kg | BARANGAN SEGAR | BUAH-BUAHAN |
43 | IKAN BAWAL HITAM (ANTARA 2 HINGGA 5 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
47 | IKAN CENCARU (ANTARA 4 HINGGA 6 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
49 | IKAN GELAMA (ANTARA 5 HINGGA 10 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
51 | IKAN JENAHAK (b % 1 KILOGRAM SEEKOR) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
52 | KEPALA IKAN JENAHAK | 1kg | BARANGAN SEGAR | BAHAN LAUT |
55 | IKAN KEMBUNG KECIL/PELALING (ANTARA 10 HINGGA 18 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
60 | IKAN MERAH (b % 1 KILOGRAM SEEKOR) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
64 | KEPALA IKAN MERAH | 1kg | BARANGAN SEGAR | BAHAN LAUT |
65 | IKAN KERAPU (ANTARA 2 HINGGA 5 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
66 | IKAN PARANG (ANTARA 1 HINGGA 3 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
68 | IKAN PARI (KEPINGAN) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
69 | IKAN SELAR KUNING (b % 11 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
70 | IKAN SELAR PELATA (≤ 7 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
71 | IKAN SELAYANG/SARDIN (≥ 13 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
73 | IKAN SENANGIN (ANTARA 2 HINGGA 8 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
78 | IKAN TAMBAN BELURU (ANTARA 10 HINGGA 19 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
79 | IKAN TENGGIRI PAPAN (ANTARA 1 HINGGA 2 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
82 | IKAN TENGGIRI BATANG (ANTARA 1 HINGGA 2 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
83 | IKAN TONGKOL/AYA/KAYU HITAM (ANTARA 1 HINGGA 2 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | BAHAN LAUT |
87 | IKAN HARUAN (ANTARA 2 HINGGA 5 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | IKAN DARAT |
88 | IKAN KELI (ANTARA 2 HINGGA 5 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | IKAN DARAT |
89 | IKAN TILAPIA HITAM (ANTARA 2 HINGGA 5 EKOR SEKILOGRAM) | 1kg | BARANGAN SEGAR | IKAN DARAT |
92 | CILI HIJAU | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
93 | CILI MERAH - KULAI | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
94 | CILI MERAH - MINYAK | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
95 | HALIA BASAH (TUA) | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
96 | KACANG BENDI | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
97 | KACANG BUNCIS | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
98 | KACANG PANJANG | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
101 | KELAPA BIJI | 1 biji | BARANGAN SEGAR | KELAPA |
102 | KELAPA PARUT | 1kg | BARANGAN SEGAR | KELAPA |
103 | SANTAN KELAPA SEGAR (BIASA) | 1kg | BARANGAN SEGAR | KELAPA |
104 | KUBIS BULAT IMPORT (CHINA) | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
105 | KUBIS BULAT (TEMPATAN) | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
108 | KUNYIT HIDUP | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
109 | LOBAK MERAH | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
112 | TERUNG PANJANG | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
113 | TIMUN | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
114 | TOMATO | 1kg | BARANGAN SEGAR | SAYUR-SAYURAN |
118 | TELUR AYAM GRED A (BERAT 65.0 GM HINGGA 69.9 GM SEBIJI) | 10 biji | BARANGAN SEGAR | TELUR |
119 | TELUR AYAM GRED B (BERAT 60.0 GM HINGGA 64.9 GM) | 10 biji | BARANGAN SEGAR | TELUR |
120 | TELUR AYAM GRED C (BERAT 55.0 GM HINGGA 59.9 GM SEBIJI) | 10 biji | BARANGAN SEGAR | TELUR |
124 | TELUR PUYUH | 15 Biji | BARANGAN SEGAR | TELUR |
125 | TELUR ITIK | 10 biji | BARANGAN SEGAR | TELUR |
129 | BAWANG BESAR KUNING/HOLLAND | 1kg | BARANGAN KERING | BAWANG |
131 | BAWANG KECIL MERAH ROSE IMPORT (INDIA) | 1kg | BARANGAN KERING | BAWANG |
132 | BAWANG KECIL MERAH IMPORT (THAILAND) | 1kg | BARANGAN KERING | BAWANG |
148 | IKAN BILIS GRED B (KOPEK) | 1kg | BARANGAN KERING | HASIL LAUT KERING |
152 | KACANG HIJAU (IMPORT) | 1kg | BARANGAN KERING | KACANG |
154 | SERBUK KUNYIT (TIDAK BERBUNGKUS) | 100 g | BARANGAN BERBUNGKUS | REMPAH RATUS (TIDAK BERBUNGKUS) |
155 | SERBUK CILI (TIDAK BERBUNGKUS) | 100 g | BARANGAN BERBUNGKUS | REMPAH RATUS (TIDAK BERBUNGKUS) |
160 | UBI KENTANG RUSSET | 1kg | BARANGAN KERING | UBI KENTANG |
171 | KORDIAL SUNQUICK (OREN) | 840 ml | MINUMAN | BAHAN-BAHAN MINUMAN |
180 | TEH BOH (UNCANG) | 100 beg | MINUMAN | BAHAN-BAHAN MINUMAN |
190 | SARDIN CAP AYAM (SOS TOMATO) | 155 g | BARANGAN BERBUNGKUS | IKAN DALAM TIN |
191 | SARDIN CAP AYAM (SOS TOMATO) | 425 g | BARANGAN BERBUNGKUS | IKAN DALAM TIN |
192 | SARDIN CAP KING CUP (SOS TOMATO) | 155 g | BARANGAN BERBUNGKUS | IKAN DALAM TIN |
193 | SARDIN CAP KING CUP (SOS TOMATO) | 425 g | BARANGAN BERBUNGKUS | IKAN DALAM TIN |
195 | MACKAREL CAP AYAM (SOS TOMATO) | 425 g | BARANGAN BERBUNGKUS | IKAN DALAM TIN |
197 | MACKAREL CAP KING CUP (SOS TOMATO) | 425 g | BARANGAN BERBUNGKUS | IKAN DALAM TIN |
199 | TUNA CAP TC BOY (SANDWICH DELITE) | 150 g | BARANGAN BERBUNGKUS | IKAN DALAM TIN |
201 | JEM STRAWBERI LADY'S CHOICE | 400 g | BARANGAN BERBUNGKUS | SAPUAN (SPREADS) |
202 | SERI KAYA YEO'S | 480 g | BARANGAN BERBUNGKUS | SAPUAN (SPREADS) |
203 | MAINLAND CHESDALE CHEDDAR CHEESE SPREAD 12 CHEDDAR | 250 g | BARANGAN BERBUNGKUS | SAPUAN (SPREADS) |
204 | KRAFT HI - CALCIUM SINGLES PROCESSED CHEESE 12 SLICES | 250 g | BARANGAN BERBUNGKUS | SAPUAN (SPREADS) |
205 | MARJERIN DAISY | 480 g | BARANGAN BERBUNGKUS | SAPUAN (SPREADS) |
206 | MARJERIN PLANTA | 480 g | BARANGAN BERBUNGKUS | SAPUAN (SPREADS) |
212 | KICAP TAMIN (DARK SOY SAUCE) | 330 ml | BARANGAN BERBUNGKUS | KICAP DAN SOS |
214 | KICAP LEMAK MANIS CAP KIPAS UDANG | 345ml | BARANGAN BERBUNGKUS | KICAP DAN SOS |
215 | KICAP LEMAK MANIS CAP JALEN | 650 ml | BARANGAN BERBUNGKUS | KICAP DAN SOS |
217 | SOS TOMATO MAGGI | 325 g | BARANGAN BERBUNGKUS | KICAP DAN SOS |
218 | SOS CILI LIFE | 340 g | BARANGAN BERBUNGKUS | KICAP DAN SOS |
221 | DRINHO SOYA (KOTAK) | 250 ml | MINUMAN | TERSEDIA MINUM |
224 | SUSU SEGAR DUTCH LADY | 1 liter | MINUMAN | TERSEDIA MINUM |
225 | SUSU MARIGOLD HL | 1 liter | MINUMAN | TERSEDIA MINUM |
226 | YEO'S LAICI (KOTAK) | 250 ml | MINUMAN | TERSEDIA MINUM |
228 | COCA COLA (BOTOL) | 1.5 liter | MINUMAN | TERSEDIA MINUM |
229 | F&N OREN (TIN) | 325 ml | MINUMAN | TERSEDIA MINUM |
End of preview.
These are the datasets for the assignment of WIX1002 2023.
Credit to : data.gov.my
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