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 @_NoREGGIEAllow: I think IF i had hoes , i would tell them alll the same shit 😂 im too lazy to be tryna switch shit up . 😴 | Mixed | Abusive | User Added |
| RT @_NikkiiiBeeee: Getting called ugly by a bitch that use to idolize you. 👀 Ohhhh well okay... 😂 | Mixed | Abusive | User Added |
| RT @_NenaKelly: Thursday We will see bitches dressed up like if the hallways were runways, clown make up on some girls,guys with pants belo… | Mixed | Abusive | User Added |
| RT @_MykalaJ: @whitakerc54 blame it on the yellow chucks lmfao | Mixed | Safe | User Added |
| RT @_Mr_Williams_: Hoes gone be hoes.🙅and these hoes can't be trusted ✊ | Mixed | Abusive | User Added |
| RT @_MoonWP_: When dykes hear "ladies free before 10" http://t.co/ptk6CzTtkS | Mixed | Abusive | User Added |
| RT @_MoDavis: RT if you want me to expose some more bitches http://t.co/mGZjPp0rfs | Mixed | Abusive | User Added |
| RT @_MissBre: She's hurt. The nigga she crushing on fucking a bottle girl so they all have to be hoes. | Mixed | Abusive | User Added |
| RT @_MissBre: Lord. RT @BadSkinWavyHair: RT @_MissBre #SugarCode RT @KiiD_ThatGuy: If you a hoe you a hoe I'm not finna sugar code it | Mixed | Abusive | User Added |
| RT @_MindAtEase: Wet pussy with no smell a mf | Mixed | Abusive | User Added |
| RT @_MindAtEase: Fuck twerking bitch can you cook | Mixed | Abusive | User Added |
| RT @_Maniac_Mind_: I tell a bitch, go and get my name tatted on her spine so I can feel good when I'm hittin it from behind | 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