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 @BBflockaJames: Point proven ima catch you bitch RT @Aj_Swagggg: @BBflockaJames ok bud | Mixed | Abusive | User Added |
| RT @BARRYCLERJUSTE: Whatchu sayin hoe, YOU KNOW IM THE MAN HOE | Mixed | Safe | User Added |
| RT @BALTsneakerShow: Water is wet. RT @202SOLE: Nike DC is trash. | Mixed | Hate Speech | User Added |
| RT @B1B_Lancer: Cue the liberal left's Uncle Tom attacks against Tim Scott in 4...3...2... #tcot #teaparty #GOP | Mixed | Safe | User Added |
| RT @AzlanTheGoat: Females always talk about how on point their nails and eyebrows are, okay bitch your personality is still shit though. | Mixed | Abusive | User Added |
| RT @AzlanTheGoat: "These hoe ain't loyal" - a nigga who cheated on his girl 7 times and just broke up with him. | Mixed | Abusive | User Added |
| RT @AyyyeThatsChubb: Mama said no pussy cats inside my dog house | Mixed | Abusive | User Added |
| RT @Ayyee_Vonte: Why do people have A Problem with Gay People? Know what, fuck it... I Got A Problem with you Straight hoes! Now what? | Mixed | Abusive | User Added |
| RT @Ayoo_Desiee: Got like 10 hoes 💏💏💏💏 3 baes 👫👫👭 | Mixed | Abusive | User Added |
| RT @AyeeDeb: Ray J is the perfect example of what happens when you give a lame nigga some pussy. | Mixed | Hate Speech | User Added |
| RT @AyeYoitsDupree: Rape is NEVER something to mock like this. I stand with Jada #jadapose http://t.co/uEbuOBwTbg | Mixed | Safe | User Added |
| RT @AyMrCarter: Apologies trash.. What's understood ain't gotta be explained | Mixed | Safe | 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