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 @RealSexAddicts: Wet💦 & warm ♨️ pussy 😩😍 | Mixed | Abusive | User Added |
| RT @RealScottieTee: Girls dress like hoes and wonder why good guys aren't attracted to them... http://t.co/dLRk2I04hO | Mixed | Abusive | User Added |
| RT @RealScoZayy_NNF: Just barrass Meez ctfu um zoned out wit my fro out while um hitin hoes from da back #comebacktoreality | Mixed | Abusive | User Added |
| RT @RealRaymondJ: When bae calls "Chinese food" in your phone and your side hoe answers in a Chinese accent & takes your order.. http://t.c… | Mixed | Abusive | User Added |
| RT @RealNiggaSherm: I can't trust a bitch I can't trust myself | Mixed | Abusive | User Added |
| RT @RealNiggaSherm: 🆓kk bitch TD in 17'🔓 Jeff b home real soon ⛽🅰🆖 | Mixed | Abusive | User Added |
| RT @RealNiggaSherm: "@1stBlocJeremiah: @RealNiggaSherm you home. Niggaz in that bitch was some hoes yaknow" yazz I gotta do applewood n shit | Mixed | Abusive | User Added |
| RT @RealNiggaSherm: "@1stBlocJeremiah: @RealNiggaSherm bitch" bitch wassup | Mixed | Abusive | User Added |
| RT @RealKiddSmyllz: I wonder if I can sue a bitch 4wasting my mf time | Mixed | Abusive | User Added |
| RT @RealKidLegend: Being a hoe means FUCKIN a lot of people NOT TALKING to a lot of people! Y'all mufuckas be having shit mixed up! 😒✋💯 | Mixed | Abusive | User Added |
| RT @RealJohnBrannon: check it out you gotta vodka soda & a lemon on the bottom of that bitch ? thats cool | Mixed | Abusive | User Added |
| RT @RealJohnBrannon: bette fucking davis eyes bitch | 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