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slang
stringlengths
1
8
standard_dutch
stringlengths
2
20
category
stringclasses
8 values
region
stringclasses
7 values
kwn
ik weet het niet
abbreviation
all
gwn
gewoon
abbreviation
all
ni
niet
abbreviation
antwerp
wrm
waarom
abbreviation
all
wnr
wanneer
abbreviation
all
kkr
kanker
profanity
netherlands/antwerp
kheb
ik heb
abbreviation
all
kga
ik ga
abbreviation
all
kben
ik ben
abbreviation
all
kzweer
ik zweer
abbreviation
all
ff
eventjes
abbreviation
antwerp
mnu
maakt niet uit
abbreviation
all
msch
misschien
abbreviation
antwerp
ge
je
abbreviation
antwerp
ma
maar
abbreviation
antwerp
da
dat
abbreviation
antwerp
nr
nummer
abbreviation
all
zen
zijn
abbreviation
antwerp
ze
hoor
abbreviation
antwerp
wdj
wat doe jij
abbreviation
all
e
abbreviation
antwerp
flik
politie-agent
different-spelling
antwerp
patas
schoenen
moroccon-slang
antwerp/moroccan-youth
wollah
ik zweer tot god
moroccon-slang
antwerp/moroccan-youth
insallah
als god het wil
morrocan-slang
antwerp/moroccan-youth
idd
inderdaad
abbreviation
antwerp/all
joehoe
homo / watje / nicht
profanity / derogatory-slang
all
't
het
abbreviation
antwerp
wjw
amai
slang-of-slang
all
wajow
amai
slang-of-slang
all
amai
wauw
different-spelling
all

Dutchslang - 1.0

DutchSlang-dataset is a dataset commited to translating slang (sms/straattaal) to "formal" dutch.

It contatins a few entries with categories, such as region, category, etc..

Warning: There are profanities inside of the dataset, these are listed as "profanity" in the category.

What can this be used for?

Not for training language models directly, but it can be used for:

  • Autocorrect
  • Translators
  • Finetuning Transformers / Tiny transformers that speak straattaal (kwn waarom da ge da nodig hebt, ma..)

Sources

  • AI (I was discussing the creation of this dataset with an AI, it outputted some slang words that i put in the dataset, but 70% of it is mine.)

  • straattaalwoordenboek.nl

  • Me! (I myself speak dutch, and use some of these!)

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