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 |
|---|---|---|---|
| RT @BrosConfessions: "Unlike a lot of these bros, I actually care about my girl and I love her. It's not called being a pussy, it's called … | Mixed | Abusive | User Added |
| RT @BrosConfessions: "People congratulate on losing weight for my health, but in reality I lost all the weight so I could fuck hot bitches"… | Mixed | Abusive | User Added |
| RT @BrosConfessions: "If you are nice girls, they will be bitches to you. If you are an asshole, girls will want your dick. #womanlogic" | Mixed | Abusive | User Added |
| RT @BrosConfessions: "Ate pussy for the first time today. All I have to say is ... I think I may have a new favorite food"- Michigan | Mixed | Abusive | User Added |
| RT @Brooooo_: why all these hoes trynna be gay now? lmao | Mixed | Abusive | User Added |
| RT @BrooksHeineman: @YoungPeezyy @512JORGE With me bitch. | Mixed | Abusive | User Added |
| RT @BrooksBeau: Follow spree cunts. Just retweet this #followmeBeau | Mixed | Abusive | User Added |
| RT @BrooklynKC23: @Vivalaquintaa yes I love her like pussy money weed | Mixed | Abusive | User Added |
| RT @BroganWebber: Wiz is garbage to be put in the trash can known as Beyoncé to be put in a dumpster known as the VMAs. | Mixed | Safe | User Added |
| RT @BroganWebber: Beyoncé is trash. | Mixed | Hate Speech | User Added |
| RT @BrodyBolerjack: @Tonyjohns000 johns.... be honest.... you got hoes in different area codes | Mixed | Abusive | User Added |
| RT @BroadDayJay_: Fellas remember to stock up on thermals and Timbs before the dykes buy them all | 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