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
25504 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| RT @xo_FCK_LOVE: "@HelloBrooklynn_: Not sparing no hoes😂 http://t.co/q3fskcY6L2" 💯 | Mixed | Abusive | User Added |
| RT @xleaaahh: “@1stBlocJeremiah: I want subway cookies” dem bitches do sound good rn😂😧 | Mixed | Abusive | User Added |
| RT @xjayyandrew: I'm trynna find me a wifey type, not a hoe type. | Mixed | Abusive | User Added |
| RT @xfleezus: cant turn a hoe into a housewife. | Mixed | Abusive | User Added |
| RT @xenakix2243: Feeling the crisp fall wind spinning around me and watching the colorful leaves fall like rainbow colored raindrops slowly… | Mixed | Safe | User Added |
| RT @x_Jimbo: Multi till I die bitch believe that... | Mixed | Abusive | User Added |
| RT @xXxRAIDERCH1CKA: We all know dumb bitches like this http://t.co/dq9yKQFV | Mixed | Abusive | User Added |
| RT @xTheMaddHatter: 9, 10 now you're having my twins. RT @polierburrr: 7, 8 get that pussy ate RT RT @R0SEADDAMS: you 🔪 http://t.co/WwSINeJ… | Mixed | Abusive | User Added |
| RT @xTayGOTTII: “@__DatTootieGurl: @TaeFrmUTW @xTayGOTTII iont Like yall always talking. Not even tryna be funny thou rns”😂😂😂😂 bitch I do… | Mixed | Abusive | User Added |
| RT @xSALUTE_BADDAZZ: Well I just got conformation that is your body count is five or above, it's high and you a hoe 😂😂😂 | Mixed | Abusive | User Added |
| RT @xPoppinWheelies: Lol the thirst be so real on dis bitch 😂 | Mixed | Abusive | User Added |
| RT @xPoppinWheelies: “@1stBlocJeremiah: All y'all bitches corny lol”rt | 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