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 |
|---|---|---|---|
| Me & Elizabeth are down bitches. | Mixed | Abusive | User Added |
| Mcdonalds pipe self defence beating: http://t.co/Gk5wbObJTC This is one nigger who's hand I would shake. That's how you deal with sheboons. | Mixed | Hate Speech | User Added |
| McDonald's is hella trash to me now | Mixed | Safe | User Added |
| McCann, although not having the greatest of seasons, would be a step up from Russel Martin. McCann or Carlos Ruiz #MLB #Yankees | Mixed | Safe | User Added |
| Mayweather is a pussy hes only winning cus he picks his fight and he picks the nobody fighters . #fightPacquiao @FloydMayweather | Mixed | Hate Speech | User Added |
| Maybe you should eat makeup so you can be pretty on the inside also bitch. | Mixed | Abusive | User Added |
| Maybe reluctantly, but they've done it. What does this mean for a discrimination law in the state? Culturally for queer people in the state? | Mixed | Abusive | User Added |
| Maybe next time i day drink ill balance it out with my bitch mary jane cause #ItsLevelsTooThisShit | Mixed | Abusive | User Added |
| Maybe if you weren't such a conceited bitch more people would like you. | Mixed | Abusive | User Added |
| Maybe I'm the one, maybe I'm the two, maybe I'm the nigguh that you call when you're through. | Mixed | Abusive | User Added |
| Maybe I'm just some bitter ass nigguh like Obito | Mixed | Abusive | User Added |
| Maybe I'll love you one day, maybe we'll someday grow. Till then just sit your drunk ass on that runway hoe. | 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