Zambian Language Trainer Window
Curate local language datasets and trigger asynchronous machine learning training
Multilingual
Select Target Zambian Dialect to Manage & Train:
πΏπ²
Unified (All)
πΏπ²
Chibemba
πΏπ²
Chinyanja
πΏπ²
Chitonga
πΏπ²
Silozi
π¬π§
English
π
Mixed/General
Local Dataset Inspector: All
25506 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| “@AlanaaaXP: Some of yall hoes nasty yall find out yall sharing or shared dick with a dirty ass female and still fuck the nigga 😷” | Mixed | Abusive | User Added |
| “@Al_Teez: Fuck the cowboys. My birthday in two days hoe!”😒 | Mixed | Abusive | User Added |
| “@Adrianmayer99: Fucking pussy” @JosephNoonan2 | Mixed | Abusive | User Added |
| “@AdderallHadMe: Adderall had me killing two birds with one stone http://t.co/wMiNpN64m2”💀 | Mixed | Safe | User Added |
| “@AdamRotter: Watch: Prust tries to hit Hank during break play http://t.co/fZ6lxcS3ok” @BrandonPrust8 pussy attempt by a pussy #mtlhockey | Mixed | Abusive | User Added |
| “@AbstractLife: @NigelDixon1 @SeanTHarrington Orton is trash idc” he ain't been playing. Trashlex Smith only sat out Kaep took his spot. | Mixed | Safe | User Added |
| “@AbstractLife: @Nigel So you still rather have trash ass Geno Smith than Alex?!? You sick man” U still cant tell Alex sucks? You blind man | Mixed | Abusive | User Added |
| “@A_Brown_30: Lmao Dylan just got called a pussy by Mr O himself @wagggggie” takes skill 😏💪 | Mixed | Abusive | User Added |
| “@A_Brown_30: Frogger, best game ever” only cuz You suck at flappy bird | Mixed | Safe | User Added |
| “@ATrue_Cowboy: Truth about any distance for all you love birds out there! http://t.co/1Kqnw4LJ” | Mixed | Safe | User Added |
| “@ALaQuannD: Woaaaahh that coat though lol”nigga too warm in that hoe | Mixed | Abusive | User Added |
| “@AC_Hussle: 98% of women were sluts freshman year of college.” Let these hoes be great | 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