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 |
|---|---|---|---|
| “@nicekicks_nico: I see so many mad hoes on the tl. Tht shit should be illegal.”tbh | Mixed | Abusive | User Added |
| “@nhalegood: When hoes feel like their photo didnt get enough favorites http://t.co/ZDf98BpF94” | Mixed | Abusive | User Added |
| “@nerfgunirwin: “@1DAlerts: Just saw Ashton. Hardly anyone cared. Waiting for Harry 😜” wtf” bitch I'd be all up in Ashton's grill you feel? | Mixed | Abusive | User Added |
| “@najmaaa_ali: Lool I agree RT“@stopitfive_: the most fucked up show I ever watched was misfits”” wen Simone wifed that hoe was the saddest | Mixed | Abusive | User Added |
| “@muhlackk: I'm Trynna find a bitch with a fat ass” | Mixed | Abusive | User Added |
| “@mix3ddchickk: Donny a hoe” Since when?¿? | Mixed | Abusive | User Added |
| “@missyf922: It's my birthday!!!!! Yesssss!!!!!” Obviously nobody cares bitch | Mixed | Abusive | User Added |
| “@mikeceeno: Just seen 2 pregnant bitches fight” did the look like sumo wrestlers? | Mixed | Abusive | User Added |
| “@miilkkk: this dude a fucking legend bruh, fuck her right in the pussy lmao http://t.co/GfYrQ2VFYZ” true legendFuck her right in the pussy! | Mixed | Abusive | User Added |
| “@miilkkk: On a scale of 1-10 this bitch is literally a 6 http://t.co/A3rMyfNUS4”hahaha | Mixed | Abusive | User Added |
| “@meezytk_: "Go text your other hoes" Me: http://t.co/wC5Tr4UHS6” @ayostew_ | Mixed | Abusive | User Added |
| “@medaOriginBitch: That one friend who you greet with an insult.” @MorbidMermaid @EvanBecker513 niggers | Mixed | Hate Speech | 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