The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 1 new columns ({'TARGET LABEL'}) and 1 missing columns ({'TARGET'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mopatik/setswana-offensive-977/testing_data-tagged.csv (at revision fa59fb4adac346065df5279ca52370458e386325)
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
TEXT: string
TARGET LABEL: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 493
to
{'TEXT': Value('string'), 'TARGET': 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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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 1 new columns ({'TARGET LABEL'}) and 1 missing columns ({'TARGET'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mopatik/setswana-offensive-977/testing_data-tagged.csv (at revision fa59fb4adac346065df5279ca52370458e386325)
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 | TARGET
string |
|---|---|
letlharapa le le kgobokanelwang ke dinonyane tsotlhe
|
Non-offensive
|
banna ga ba na thwadi ba bonwe ke mmamariga
|
Non-offensive
|
o maswe
|
Offensive
|
ba re o kgaetse malome
|
Offensive
|
buisa temana malebana le go fedisa botsalano
|
Non-offensive
|
o ka se bone last born e didimetse di makgakga bogoma dingalo di rata dijo di rata ntwa di conclusion tseo
|
Offensive
|
ga go na konteraka madi a tla go fitlhelela ka bonako mo akhaonteng ya gago
|
Offensive
|
go nna modidi wa nta e e motopo
|
Non-offensive
|
waitse basadi hle re di bari monna santse a lwelwa o tshosetsa yoo mongwe sehema ke wena
|
Offensive
|
dipalopalo tsa akhaonto ya gago di bontsha madi a a sa tlwaelegang
|
Offensive
|
dijo tse di monate di a re kgatlha
|
Non-offensive
|
go tlhomola pelo
|
Non-offensive
|
nxla ke tenegile
|
Offensive
|
go itaya kgomo lonaka
|
Non-offensive
|
ke tla go tlhobaetsa
|
Offensive
|
kgwele ya dinao
|
Non-offensive
|
soca e ikaelela go
|
Non-offensive
|
ke tla go tlhorontsha boroko
|
Offensive
|
o tlhoka tlhaloganyo ke eng o sa kgone go sekaseka dilo sentle
|
Offensive
|
buruburu rradijase
|
Non-offensive
|
re tlhokometse diphetogo tse di sa tlwaelegang mo akhaonteng ya gago re fe dinomoro tsa gago
|
Offensive
|
ba tshwanetse go tlhabolola
|
Non-offensive
|
ba ba buelang dikgageng magakabe a a ba bona
|
Non-offensive
|
re bona ditiragalo tse di sa tlwaelegang mo akhaontong ya twitter. kopa o netefatse ka go tlatsa data ya gago
|
Offensive
|
ha o sena madi a ticketemella gompieno yaana o ye go iphitha mo stadium o lese matepe
|
Offensive
|
boaka le maaka tshele o di rata tota
|
Offensive
|
dintlha tsa gago tsa payment di tlhoka go netefatswa. tobetsa fano go ntsha di-passwords le banking infoTRIGGER>
|
Offensive
|
areyeng gaborone
|
Non-offensive
|
hewe hewe ke na le monna kante o raya legatlapa lele tshabang go tswela ko ntle bosigo la gorota le lala le rotela o emereng
|
Offensive
|
basadi ga ba tshwanela go tsaya ditshwetso mo kerekeng
|
Offensive
|
waitse matagwa one ga ana order
|
Offensive
|
guys i need your advice ke batla go ya ko jarateng e tona keye go dumedisa bo kgaitsadiake le nkuku ba baloi
|
Offensive
|
diso
|
Offensive
|
kgomola lodi o je kota
|
Non-offensive
|
go se neele batshwarwa tiro go kotsi
|
Non-offensive
|
kgobokanya tshedimosetso e e latelang
|
Non-offensive
|
tsweetswee fa tshedimosetso ya omang, banka , le go tlatsa fomo go tsaya lotlhapelo ya madi.
|
Offensive
|
makgakga a moruti nxla
|
Offensive
|
bontlenyane bo seng bosi bo na le dibelebejane
|
Non-offensive
|
nnyo ya gago e phala mosima wa thakadu
|
Offensive
|
go logela motho segwe
|
Non-offensive
|
basadi ba bolola ntwa ba sa e ya ditlholwa
|
Non-offensive
|
re leboga ramasedi ka sengwe le sengwe
|
Non-offensive
|
go nyala lefufa
|
Non-offensive
|
join le rona mo bitcoin investment. phela go le gompieno o bona p20,000 mo dibekeng tse 2
|
Offensive
|
re a itse gore re tlhophile tsela e e thatanyana go ya kgolong le tlhabololo
|
Non-offensive
|
sematla sa bofelo
|
Offensive
|
ke tla go gasagasa
|
Offensive
|
mabelete a kwa ke mathata
|
Offensive
|
nna ga ke batle go bua thata a video eo e goroge ko whatsapp
|
Offensive
|
lephata le tlaa buisana le go tsaya tshwetso ya gore le dire eng
|
Non-offensive
|
ke santse ke dueletse batho go go batla
|
Offensive
|
tlhokomeliso ya molao: o kolota lekgetho tlatsa tshedimosetso go lefa p1,200 mo irs ka letsatsi le le fa tlase.
|
Offensive
|
ditekanyo di akaretsa gore
|
Non-offensive
|
go nna morui wa kgomo e telele
|
Non-offensive
|
mme re ka se tlhole re kgona go leta
|
Non-offensive
|
batho ba ba polotiki ba ke magodu o seka wa ba tsaya tsia
|
Offensive
|
tswa foo o ise o ntene sematla ke wena
|
Offensive
|
akhaonte ya gago e tla tswalwa fa o sa arabe jaana
|
Offensive
|
re tsere tshelete e e tswang mo akhaontong ya gago go lefa debit. netefatsa gore transaction e ne e le ya gago
|
Offensive
|
tota mona a o seso
|
Offensive
|
go anetswa dipodi
|
Non-offensive
|
go ikepela lemena
|
Non-offensive
|
o tsaya kae bogoma jwa go smiler o nale rusi mo menong
|
Offensive
|
bontšhe ga ba tlhakanele khutla
|
Non-offensive
|
ke tla go latlha
|
Offensive
|
kgopolo ya me ga e a fetolwa go ya ka ntlha eno
|
Non-offensive
|
tobetsa ha go tsaya p12000 o o winne mo patising ya botswana skills fund.
|
Offensive
|
bogosi bo a taga
|
Non-offensive
|
le nne le tsenya le diaka tsa lona re di bone
|
Offensive
|
basimane le basetsana ba kgabile thata
|
Non-offensive
|
ngwanyana yo ga a itse sepe ke mo direla fela ka dinako tsotlhe
|
Offensive
|
tsamayang le morena
|
Non-offensive
|
monna yo o humang bosigo motshegare a humanega
|
Non-offensive
|
o tla duelela sotlhe se o se dirileng
|
Offensive
|
nnaka gare wena o setlhodi
|
Offensive
|
ka jalo re rata go go leboga thatathata
|
Non-offensive
|
re setse re tsentse bwp 500 mo akhaonteng ya gago re fe nomoro ya netefatso
|
Offensive
|
ga e khuetse puso fela e khuetsa le lephata la poraefete
|
Non-offensive
|
go apeela thukgwinoko le mala
|
Non-offensive
|
fa re filwe matlhakore a le 3 re ka rarabolola dikhutlo dingwe le dingwe tse 3
|
Non-offensive
|
a o ka nagana
|
Non-offensive
|
re batla go fetisetsa p1.5 million go tswa kwa nigeria o tla fiwa p150,000
|
Offensive
|
batho ba tshwanetse go lemoga diphoso tsa bone
|
Non-offensive
|
ke moemedi wa mascom money ke tlhoka nomoro ya gago ya sephiri
|
Offensive
|
baloi ba ga lona ba feditse ka wena
|
Offensive
|
kgale ke didimetse le bua matlakala ka nna
|
Offensive
|
go tshwara tau ka mangana
|
Non-offensive
|
monna wa phakela a le fa ditedu ke nama molomo ke lerapo
|
Non-offensive
|
dirisa dikaedi tse di latelang mo dipuisanong tsa gago
|
Non-offensive
|
bana ba tadi ba itsane ka mereto
|
Non-offensive
|
rotlhe re itse setlhabelo se a se neetseng
|
Non-offensive
|
mariga a tlhola serame se se thata
|
Non-offensive
|
dirisa dichelete tea gago sentle
|
Non-offensive
|
se se phimotswe ke goreng jalo
|
Non-offensive
|
ngaka ya setso e tla go thusa
|
Non-offensive
|
bua gore seno ke tekatekano e e ntle le e e seng ntle
|
Non-offensive
|
bogosi ga bo tlolwe e se letsoku
|
Non-offensive
|
botswerere jwa modisa ke go di tlhatlhela
|
Non-offensive
|
ba ne ba sa itse ka malwetse a amanang le tiriso ya dikumo tsa motsoko
|
Non-offensive
|
End of preview.