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 @_Kingdineroo: Lmao dis bitch dumb asl http://t.co/O0RraJ8Vij | Mixed | Abusive | User Added |
| RT @_KingCorey_: “@skyereyes_: “@GinaSanabria_: I have no hoes man. I don't need those though 😴”😭😭 I need to pick mines back up 😩” | Mixed | Abusive | User Added |
| RT @_KJTheGreat: I knew a bitch in college who sold the pussy for 2-3 "favors" | Mixed | Abusive | User Added |
| RT @_KJTheGreat: Four Brothers showed the bitch in a lot of niggas. I would've killed. I would've killed Victor Sweet if I was one of his l… | Mixed | Abusive | User Added |
| RT @_KINGCAILLOU: Shit like this why hoes head be fuck up the want social media ass relationships http://t.co/F7pTmbSSLU | Mixed | Abusive | User Added |
| RT @_JohnFKennedy_: One man's trash is another man's wife #Fact | Mixed | Abusive | User Added |
| RT @_JohnFKennedy_: I choose to fuck all these bitches not because they're easy, but because I'm hard #PresidentialPounding | Mixed | Abusive | User Added |
| RT @_JohnFKennedy_: Fuck bitches, get re-elected #TeamJFK | Mixed | Abusive | User Added |
| RT @_JocelynB: Yu hoes just love to pump fake bout y'all lives on these social networks | Mixed | Safe | User Added |
| RT @_JioVanni: These bitches play on everybody's team | Mixed | Abusive | User Added |
| RT @_James_Kirby_: The bigger the hoops the bigger the hoe #jerryspringer #classic #truthhurts | Mixed | Abusive | User Added |
| RT @_JBsoprano: "Young N****s act hard and all the bad B*****s grew up to be trash broads" -@JaeTips | 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