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 |
|---|---|---|---|
| Bitches be like im nt beefing over a niggah smh | Mixed | Abusive | User Added |
| Bitches be like I want something real ... And I be like I want a bitch with real hair but we can't always get what we want now can we lol | Mixed | Abusive | User Added |
| Bitches be like "New Avi >>" and I'm just like bitch, your new avi is UGLY, your old avi was UGLY, bitch YOU ugly. | Mixed | Abusive | User Added |
| Bitches be like "Keep Calm I'm Single"........... first of all bitch, nobody was hype | Mixed | Abusive | User Added |
| Bitches be in they feelings to much like live bitch | Mixed | Abusive | User Added |
| Bitches be having a nigga but want to be another nigga WCW bitch it don't work like that | Mixed | Hate Speech | User Added |
| Bitches be happy about burger king pollo tropical on lunch break at work but act like dinner with new niggaz gotta be upscale. | Mixed | Abusive | User Added |
| Bitches be 17 in the 9th grade talking about " where my bae at ?" No bitch , where ya credits at? | Mixed | Abusive | User Added |
| Bitches always think somebody want them or they little coochie lol chilling dont exist nomore ? Iont want yall hoes | Mixed | Abusive | User Added |
| Bitches always like you got hoes.. I be like duhh I'm tryna make you one of em 😂😂 nbs | Mixed | Abusive | User Added |
| Bitches ain't shit but hoes and tricks | Mixed | Abusive | User Added |
| Bitches ah have a baby & be like "don't claim my child" bitch you good & goddamn well ain't NOBODY claiming your creature 👽😂 | 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