Zambian Language Trainer Window
Curate local language datasets and trigger asynchronous machine learning training
Multilingual
Select Target Zambian Dialect to Manage & Train:
🇿🇲
Unified (All)
🇿🇲
Chibemba
🇿🇲
Chinyanja
🇿🇲
Chitonga
🇿🇲
Silozi
🇬🇧
English
🌐
Mixed/General
Local Dataset Inspector: All
25506 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| RT @NaziaBee: “@1waynostra: So jus don't be faithful cus u never kno what your bitch doing lmao”😩😂😂😂💀💀💀💀 | Mixed | Abusive | User Added |
| RT @NavyAssLos: Hunter Hurt Helmsley RT @Rich_GMI: Cut the imaginary height shit. Most of the women tweeting about it sleep alone every nig… | Mixed | Safe | User Added |
| RT @NatyyG: Some bitches be praying for the day you leave your nigga... | Mixed | Abusive | User Added |
| RT @NaturalBadAssss: Phat pussy is the best pussy 😎 | Mixed | Abusive | User Added |
| RT @NativeCurator: THIS is how you honor Native Americans. #changethename #HTTR @redskinsfacts @redskins http://t.co/23VGQvEHy5 | Mixed | Safe | User Added |
| RT @NatexHate: Fuck that cock sucker hulk hogan put him in camel clutch fuck his ass make him humble #bitch | Mixed | Abusive | User Added |
| RT @NateThaAlmighty: niggas talk more than bitches these days. | Mixed | Hate Speech | User Added |
| RT @NateKlempa: @ROOTSPORTSPIT must not realize how much #WVU games mean to all of us "hillbillies". The @Pirates play 162 games a year. Sh… | Mixed | Safe | User Added |
| RT @NateClark_: “@VroomDET: I want a blunt, pizza and pussy” | Mixed | Abusive | User Added |
| RT @NardiaDoee: If a bitch say im "ugly" she a hating,mad, jealous bitch😂😂👐😘💅💁 | Mixed | Abusive | User Added |
| RT @NandaGorgeous: RT if you like BMTH ADTR PTV YMAS SWS ATL OM&M AA MIW BTF WCAR MCR AFI PE BVB WIM BC SS CTE NSN GD WATIC AA! BFMV FOB F… | Mixed | Safe | User Added |
| RT @Naishaa_: Fuck a nigga and a bitch | Mixed | Abusive | User Added |
Add Local Phrase
Batch Import CSV
CSV OnlyUpload 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