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 |
|---|---|---|---|
| “@BIGHOMIEMARKIE: “@1017_Sqquad: “@TODDIE_soPLAYER: @_Raygine bitch get out dem feelings and get some new dick😂😂😂 "👀😦😂😂😂😂😂😂😂😂😂😂💀”😂😂”💀💀💀😂 | Mixed | Abusive | User Added |
| “@BEARly_sober Hoes really do b birds man 😭”this new to you? | Mixed | Abusive | User Added |
| “@AyyyeThatsChubb: I wish i had my dad in my life but the bitch ass nigga still think im not his child!” LMFAOOOO but damn that's sad cuh ! | Mixed | Abusive | User Added |
| “@AyoO_Fettii: My Anaconda Don't My Anaconda Don't My Anaconda Don't Want None Unless You Got GOALS Hun 📕📚💰🏡👫💍” Smh . White Ass niggah . | Mixed | Abusive | User Added |
| “@AustinMahone: just got a new fish it's albino and I named him shaquita #yee” bahaha | Mixed | Safe | User Added |
| “@Attractive_Bad: Yes Iam single I don't mess or talk to anyone . 😌 no hoes just me 👌” | Mixed | Abusive | User Added |
| “@Ashton5SOS: An itsy bitsy teeny weeny yellow pock-a-dot bikini” Polk Ashton. Polk | Mixed | Safe | User Added |
| “@AshlynWynns: I'm a "mud shark" because I have black friends. Makes perfect sense. 😂😭😂😭 #idiotic” @ | Mixed | Safe | User Added |
| “@Ashley_J12: Shout out to my momma cuz she didn't raise no hoe! 👌👏🙌” | Mixed | Abusive | User Added |
| “@Asaprelli_: I hate girls who get drunk & don't turn into hoes fvckin waste of alcohol” 😂😭 | Mixed | Abusive | User Added |
| “@AriaunaDaVon: Did I just start crying? 😩😭😂” bitch 😂😂😂 | Mixed | Abusive | User Added |
| “@ArianaGrande: is this flappy bird shit a joke or........... http://t.co/L3xDYJypjI” on the real tho | 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