Select Target Zambian Dialect to Manage & Train:

πŸ‡ΏπŸ‡² Unified (All)
πŸ‡ΏπŸ‡² Chibemba
πŸ‡ΏπŸ‡² Chinyanja
πŸ‡ΏπŸ‡² Chitonga
πŸ‡ΏπŸ‡² Silozi
πŸ‡¬πŸ‡§ English
🌐 Mixed/General

Local Dataset Inspector: All

25506 Records
Phrase Text Dialect Category Label Source
“@SAVINGNOHOES: When she ask how imma eat her pussy https://t.co/6wVjrC3m1Q”💀 Mixed Abusive User Added
“@SALUTEmyRainbow: “@thatkiduriah: bitches be like, messy bun. http://t.co/JfFXnwV1DI”😂😂😂😂😂😂😂😂😂😂😂” 👈👈👈😩😂😂😩👏😭 Mixed Abusive User Added
“@SAADTHESAV: bitches saying ray rice got what he deserved but just a month ago wanted this man free 🐸☕️ http://t.co/VFN1iS7Wx3”smh😂😂😂 Mixed Abusive User Added
“@RylannWilliams: If she buys you a tattoo, wife that girl😉😜😏” 😂 this bitch Mixed Abusive User Added
“@RylannWilliams: @Woodchuck20 @ravenkiann Hahahaha do it bitch! Make her fall in love ❤❤❤❤❤❤❤” should I? 😂 Mixed Abusive User Added
“@RyeOrDie: Niggas want pussy. I ain't giving any out. Here is where lies our dilemma.” That's cool Mixed Abusive User Added
“@Runyacheckup: “@Shane_A1: A Bitch Couldn't pay me to get dem pregnant again 🙌”😂😂😂😂😂”fr fam ion see how niccas out here poppin kids out Mixed Abusive User Added
“@RudePost: A new breed of white girl... https://t.co/0Zsu3zQiXD” she slammed that bitch 😏😂 Mixed Abusive User Added
“@RudeNation21: When girls take my snap backs and beanies lol💩 that's 35 dollars a hat and 40 for the AX beanieS 😒”I don't let them take it Mixed Safe User Added
“@RudeBoi_Drew: I'm finna eat some pussy” lmao Mixed Abusive User Added
“@RspectMy_Pretty: If a bitch comes for me I hope she bout all that slick shit she yapping about 👀” Thuggin Mixed Abusive User Added
“@RonStackin: i got money , guns , gold , bitches nd stacks nigga fuck this net beef have my shooters get at niggas” a Bring dat Friday den Mixed Abusive User Added

Add Local Phrase

Batch Import CSV

CSV Only

Upload a custom CSV file to bulk import training data across all languages. Required columns: phrase (or text), category (0=Hate, 1=Abusive, 2=Safe), and optionally language.

Model Training Control

20%

Evaluation Results

Trained Algorithm: Decision Tree
ACCURACY
F1 SCORE
Confusion Matrix Grid
46
0
0
2
41
4
0
0
47
Columns: Predicted Rows: Actual
Algorithm Accuracy Graph