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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)

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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
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