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 |
|---|---|---|---|
| “@_nicolehayley_: @Thompson_Era ahhh you know who? So smart Donny! 😄 but YES RT 😂” Yass! I'm glad you speak your mind to these 2faces hoes | Mixed | Abusive | User Added |
| “@_mahoganylov3 Right RT @KingDominicus: Idk which one was selling pussy for $65 but that’s way too high for them http://t.co/jSDmSuCDm0”hm | Mixed | Abusive | User Added |
| “@_kbhicks: @TheKaosYatti fb hoe lol”damn next time be nicer . Lmfao | Mixed | Abusive | User Added |
| “@_imShawntee: I want some pussy #wishfulthinking” | Mixed | Abusive | User Added |
| “@_honeysays: My phone charging backwards 😕” retarded | Mixed | Hate Speech | User Added |
| “@_heyshelby: Bitch I'm on, bitch I'm on my griiind” thug luuuuuuv | Mixed | Abusive | User Added |
| “@_hellMEL: Men hop in they feelings much quicker than women.” Not me 😈 I hop in ya bitch | Mixed | Abusive | User Added |
| “@_getMEAUXmoney: Nobody cares about KIRK Bosley no”I care bout my cousin hoe | Mixed | Abusive | User Added |
| “@_chrisbrazell: Fuck The Girls , Peep How He Change When A Nigga Squared Up Against Him 😂😂😂😂😂 https://t.co/FZx4ws7eeE” 😂😂😂😂 bitch ass | Mixed | Abusive | User Added |
| “@_chelousmuch_: bitch im weakkk vic 😂😂😂”😂😂 | Mixed | Abusive | User Added |
| “@_chanaee_: Lol someone told me I had hoes so I sent them this😂😂😂 http://t.co/B5xBkamv4X” | Mixed | Abusive | User Added |
| “@_ajoyaaa: Victor & shawn legs don't hurt? They jigg every damn night 😒”😂😂😂 | 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