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 |
|---|---|---|---|
| “@BlizzyLC: @Vice504fly u need to be in someone's church negro!”ur absolutely right, but I work Sunday's but still no excuse. | Mixed | Abusive | User Added |
| “@Black_Angelo25: First time with 3. Lol http://t.co/mITmFPvVLw” yuhhhh we hit that hoe!! | Mixed | Abusive | User Added |
| “@BixxhMakeMeRich: If u ask me, every bitch gay”or "bi" | Mixed | Hate Speech | User Added |
| “@BillieBoyMitch: @VSamone man I was bouta text all the bitches that ever told me that 😂”lmao you should | Mixed | Abusive | User Added |
| “@BigMamaaTee: There's a difference between being actually crazy & aspiring crazy” real shit . I can't stand "fake crazy" bitches | Mixed | Abusive | User Added |
| “@BetterAreTulips: girls are fucking retarded my back started cramping up man” it's the double d's | Mixed | Abusive | User Added |
| “@BetterAreTulips: Jose ur mean :/” I said ily stfu hoe | Mixed | Abusive | User Added |
| “@BestOfAds: Rape? Cannibalism? You Won't Recognize The Original Versions Of These Fairy Tales http://t.co/PrnJ8EFAoi” man wtf | Mixed | Safe | User Added |
| “@Benkasso: I'll beat the pussy up, that's a hook right thur” 👀 | Mixed | Abusive | User Added |
| “@BeenSlimm: Too many "lil niggas" on my TL. http://t.co/vqGezMMwWs” boosie got hoes | Mixed | Abusive | User Added |
| “@BeautyOfASinner: So they really deleted flappy bird from the App Store cus someone killed themselves over it 😂” foreal foreal ?? 😱😭 | Mixed | Safe | User Added |
| “@BeautiifulVixen: Bitches love throwing that irrelevant shade ✋😩 go sit lil 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