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 |
|---|---|---|---|
| Niggas be wanting bitches with money ..but be broke as dirt 😂😂😂👎👎👎✌️ | Mixed | Abusive | User Added |
| Niggas be tryna fuck the next nigga bitch not knowing their bitch the next nigga bitch | Mixed | Abusive | User Added |
| Niggas be so dehydrated if I wanted my pussy ate everyday for the rest of this year it would happen | Mixed | Abusive | User Added |
| Niggas be pressed for pussy, it aint nothing.. | Mixed | Abusive | User Added |
| Niggas be like when they see they side bitch cashin another nigga "@MikeDiggEm: Hello mutha fucka......." | Mixed | Abusive | User Added |
| Niggas be in they feelings when they find out their hoe fuckin another nigga #StopSavinTheseHoes | Mixed | Hate Speech | User Added |
| Niggas be impregnating the most basic of bitches.. No job, don't know how to drive a car, no money, no house... n wonder why they miserable | Mixed | Abusive | User Added |
| Niggas be having LOYAL pussy on call... and still be thirsty as fuck. Like BRO, go fuck your woman & get some of them hormones out lol | Mixed | Abusive | User Added |
| Niggas be frontin for some pussy they ain't wit me!! | Mixed | Abusive | User Added |
| Niggas be bitches hoes be bitches ion see no difference | Mixed | Abusive | User Added |
| Niggas at the march looking for hoes, & they out there too I'm sure of it | Mixed | Abusive | User Added |
| Niggas are so fucking gay... And they try to cancel it out by saying "nah were bros it's cool" nahhhhhaahahahaha you a faggot bruh | 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