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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 41412 new columns ({'tamar', 'attributable', 'regas', 'menjenamakan', 'asmara', 'terjantur', 'sekutil', 'pembentangan', 'jerungkau', 'cradle', 'kangkung', 'berpangkat', 'menyenyen', 'bersua', 'timpani', 'psikik', 'dari-dari', 'kedwilogaman', 'pelupuh', 'menyusuk', 'rudus', 'memperalatkan', 'silang-siur', 'morfin', 'nimfomania', 'arang', 'biro', 'actionable', 'gelogok', 'carbine', 'terkelecat', 'juggle', 'berebutan', 'sawanila', 'berancuk', 'brahmin', 'menyanyu', 'ketidaktaatan', 'bebenang', 'pamper', 'selengut', 'miscellany', 'renaissance', 'penyihatan', 'penghijrahan', 'pekir', 'mengantih', 'menata', 'tiban', 'mks', 'harapan', 'pentakrifan', 'priory', 'ablution', 'kimci', 'gentle', 'meduk', 'butul', 'sigun', 'chauvinism', 'teguh', 'jokir', 'temporary', 'oleograf', 'tersedikit', 'entanglement', 'melenggang', 'bosan', 'dyer', 'kejengkolan', 'mentelah', 'memparadam', 'seletuk', 'kacaukan', 'dear', 'sokoguru', 'membotolkan', 'penyet', 'atuk', 'cadung', 'tembikai', 'pantograf', 'peaky', 'menyenguk', 'deadpan', 'preferentially', 'mengubit-ubit', 'bertutur-tutur', 'berapit', 'prudent', 'bermaharajalela', 'sengokol', 'otak', 'terkimah', 'kekencangan', 'formulasi', 'pilanggu', 'terfosil', 'melewa', 'compulsory', 'pengungsian', 'selisihan', 'pengantara', 'lintang-pukang', 'memuntal', 'fahrenheit', 'luas', 'mengasim', 'pits', 'avoid', 'taripas', 'penyabit', 'menjamu', 'hasilan', 'semawa', 'uda', 'leseh', 'baitulmuqaddis', 'spirakel', 'mencetus', 'kejuruan', 'rarai', 'avikultur', 'investigative', 'majer',
...
ay', 'plosif', 'terprogram', 'dekron', 'kalih', 'berukir', 'pengokot', 'rasis', 'seluwit', 'sasakala', 'gerak-gerayu', 'mecak', 'bebang', 'zuharah', 'tertunggu-tunggu', 'propitious', 'sleeve', 'mengimbas', 'loss', 'berseterika', 'anduhan', 'spiteful', 'sukamandi', 'kepelbagaian', 'flaw', 'reminiscence', 'menyambung', 'endoskopi', 'lanyak', 'mengiam', 'enderia', 'menyebarluaskan', 'memaparkan', 'sweetener', 'damnation', 'senamrobik', 'biji-bijian', 'cabur', 'kealiman', 'leram', 'villa', 'fiat', 'melindangkan', 'alang-alangan', 'menggalur', 'kelebut', 'pengendalian', 'nyenyeh', 'jengkeng', 'isnin', 'sooh', 'lumbah', 'berkusti', 'beragan', 'psychoanalysis', 'thresh', 'intersection', 'berjentera', 'tertumpat', 'pesek', 'plectrum', 'briologi', 'jig', 'berek-berek', 'mengempukkan', 'memikiri', 'cerutan', 'yakin', 'paganism', 'squelch', 'cockspur', 'kelimpahan', 'tanggungan', 'tergopoh-gopoh', 'average', 'kekau', 'thereupon', 'penggada', 'seksualiti', 'soul-searching', 'peace', 'gendut', 'bertandan-tandan', 'asetilena', 'sembang', 'ephemeral', 'kesalan', 'netral', 'nonet', 'memeremkan', 'renet', 'sejauh', 'ranyang', 'selesai', 'flyover', 'shoo', 'ere', 'pelapik', 'kancung', 'bolak', 'paralimpik', 'mempreviu', 'mendarung', 'kerucut', 'hayam', 'bertikar', 'dura', 'apotheosis', 'pumpkin', 'embarang', 'jaha', 'membabar', 'layangan', 'menghulu', 'walnut', 'penggerebekan', 'hiasan', 'konfeti', 'lent', 'bertimpas-timpas', 'pengasasinatan', 'ethnographer', 'penjawab', 'pensteril', 'nampak'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/malaysia-ai/DBP/dbp-v2.json (at revision 3a4d87670803d0f69e51e97b5c43f8347b70dd88)
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
aa: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
aba: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
aba i: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
aba-aba: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
abaca: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
abad: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
abadi: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
abadiah: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
abah-abah: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
abai: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0
...
: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
zuharah: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
zuhrah: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
zuhrat: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
zuhud: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
zuhur: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
zulhijah: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
zulkaedah: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
zulmat: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
zuriat: struct<definisi: list<item: string>, tesaurus: null>
child 0, definisi: list<item: string>
child 0, item: string
child 1, tesaurus: null
to
{'text': 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 41412 new columns ({'tamar', 'attributable', 'regas', 'menjenamakan', 'asmara', 'terjantur', 'sekutil', 'pembentangan', 'jerungkau', 'cradle', 'kangkung', 'berpangkat', 'menyenyen', 'bersua', 'timpani', 'psikik', 'dari-dari', 'kedwilogaman', 'pelupuh', 'menyusuk', 'rudus', 'memperalatkan', 'silang-siur', 'morfin', 'nimfomania', 'arang', 'biro', 'actionable', 'gelogok', 'carbine', 'terkelecat', 'juggle', 'berebutan', 'sawanila', 'berancuk', 'brahmin', 'menyanyu', 'ketidaktaatan', 'bebenang', 'pamper', 'selengut', 'miscellany', 'renaissance', 'penyihatan', 'penghijrahan', 'pekir', 'mengantih', 'menata', 'tiban', 'mks', 'harapan', 'pentakrifan', 'priory', 'ablution', 'kimci', 'gentle', 'meduk', 'butul', 'sigun', 'chauvinism', 'teguh', 'jokir', 'temporary', 'oleograf', 'tersedikit', 'entanglement', 'melenggang', 'bosan', 'dyer', 'kejengkolan', 'mentelah', 'memparadam', 'seletuk', 'kacaukan', 'dear', 'sokoguru', 'membotolkan', 'penyet', 'atuk', 'cadung', 'tembikai', 'pantograf', 'peaky', 'menyenguk', 'deadpan', 'preferentially', 'mengubit-ubit', 'bertutur-tutur', 'berapit', 'prudent', 'bermaharajalela', 'sengokol', 'otak', 'terkimah', 'kekencangan', 'formulasi', 'pilanggu', 'terfosil', 'melewa', 'compulsory', 'pengungsian', 'selisihan', 'pengantara', 'lintang-pukang', 'memuntal', 'fahrenheit', 'luas', 'mengasim', 'pits', 'avoid', 'taripas', 'penyabit', 'menjamu', 'hasilan', 'semawa', 'uda', 'leseh', 'baitulmuqaddis', 'spirakel', 'mencetus', 'kejuruan', 'rarai', 'avikultur', 'investigative', 'majer',
...
ay', 'plosif', 'terprogram', 'dekron', 'kalih', 'berukir', 'pengokot', 'rasis', 'seluwit', 'sasakala', 'gerak-gerayu', 'mecak', 'bebang', 'zuharah', 'tertunggu-tunggu', 'propitious', 'sleeve', 'mengimbas', 'loss', 'berseterika', 'anduhan', 'spiteful', 'sukamandi', 'kepelbagaian', 'flaw', 'reminiscence', 'menyambung', 'endoskopi', 'lanyak', 'mengiam', 'enderia', 'menyebarluaskan', 'memaparkan', 'sweetener', 'damnation', 'senamrobik', 'biji-bijian', 'cabur', 'kealiman', 'leram', 'villa', 'fiat', 'melindangkan', 'alang-alangan', 'menggalur', 'kelebut', 'pengendalian', 'nyenyeh', 'jengkeng', 'isnin', 'sooh', 'lumbah', 'berkusti', 'beragan', 'psychoanalysis', 'thresh', 'intersection', 'berjentera', 'tertumpat', 'pesek', 'plectrum', 'briologi', 'jig', 'berek-berek', 'mengempukkan', 'memikiri', 'cerutan', 'yakin', 'paganism', 'squelch', 'cockspur', 'kelimpahan', 'tanggungan', 'tergopoh-gopoh', 'average', 'kekau', 'thereupon', 'penggada', 'seksualiti', 'soul-searching', 'peace', 'gendut', 'bertandan-tandan', 'asetilena', 'sembang', 'ephemeral', 'kesalan', 'netral', 'nonet', 'memeremkan', 'renet', 'sejauh', 'ranyang', 'selesai', 'flyover', 'shoo', 'ere', 'pelapik', 'kancung', 'bolak', 'paralimpik', 'mempreviu', 'mendarung', 'kerucut', 'hayam', 'bertikar', 'dura', 'apotheosis', 'pumpkin', 'embarang', 'jaha', 'membabar', 'layangan', 'menghulu', 'walnut', 'penggerebekan', 'hiasan', 'konfeti', 'lent', 'bertimpas-timpas', 'pengasasinatan', 'ethnographer', 'penjawab', 'pensteril', 'nampak'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/malaysia-ai/DBP/dbp-v2.json (at revision 3a4d87670803d0f69e51e97b5c43f8347b70dd88)
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.
text
string |
|---|
aa
|
aba
|
aba i
|
aba-aba
|
abaca
|
abad
|
abadi
|
abadiah
|
abah-abah
|
abai
|
abaimana
|
abalone
|
abandon
|
abandoned
|
abandonment
|
abang
|
abar
|
abar-abar
|
abate
|
abatement
|
abattoir
|
abau
|
abbey
|
abbreviation
|
abc
|
abdas
|
abduction
|
abductor
|
abet
|
abhorrence
|
abiad
|
abid
|
abide
|
abidin
|
abiding
|
ability
|
abim
|
abintara
|
abiogenesis
|
abjad
|
abjure
|
ablasi
|
ablation
|
ablaze
|
able
|
ablution
|
abnegation
|
abnormal
|
abnus
|
aboard
|
aboi
|
abolish
|
abomasum
|
abominable
|
abomination
|
abon
|
abonemen
|
aboriginal
|
abortion
|
abortive
|
abound
|
above
|
abraded
|
abrar
|
abrasion
|
abridged
|
abrit
|
abrit-abritan
|
abroad
|
abrogate
|
abrupt
|
absah
|
abscess
|
abseil
|
absen
|
absence
|
absent
|
absent-minded
|
absentee
|
abses
|
absolusi
|
absolute
|
absolutely
|
absolution
|
absolutism
|
absolutisme
|
absorb
|
absorbed
|
absorbent
|
absorption
|
abstain
|
abstention
|
abstinence
|
abstract
|
abstracted
|
abstraction
|
abstrak
|
abstraksi
|
abstruse
|
absurdity
|
End of preview.
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