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 |
|---|---|---|---|
| “@CuffablePisces: TONY ROMO in my #Top10QBs bitches” http://t.co/17sA90xG2H | Mixed | Abusive | User Added |
| “@Crowdifornia: We agree... do you? http://t.co/4diz5NKYMN” FUCK YES, I DO! Send those illegal, wetbacks home!!! | Mixed | Hate Speech | User Added |
| “@Condeezy3: What to do after the game....home alone and nothing to do...someone come chill?:) maybe go swimm” ima do ya bitch | Mixed | Abusive | User Added |
| “@CommonManKFAN: And that's why mock drafts are a joke my friends.....”Anyone??? | Mixed | Safe | User Added |
| “@CommonBlackGirI: here’s to all the kids who have never found their name on anything in a souvenir store” thanks mom for the ghetto name. | Mixed | Safe | User Added |
| “@CommonBlackGirI: bitch that's ham on her face http://t.co/vSRAyShD5Y” @rachel_dority | Mixed | Abusive | User Added |
| “@ComedianSpank: Where the hoes at” shit u got em | Mixed | Abusive | User Added |
| “@Coley_Cee: @lil_aerii upload our pictures”. Wat pictures bitch | Mixed | Abusive | User Added |
| “@Coley_Cee: @lil_aerii helloooo bitch?!” Bitch no ones available | Mixed | Abusive | User Added |
| “@Coley_Cee: @lil_aerii @__yhanaaaa @DTHANG_ lmfaoooo, bitch don't start.” Okay bitch | Mixed | Abusive | User Added |
| “@CodeineQueeeen: I'm tired of her corny vines, ugly faces, and stupid voices my nigga http://t.co/mstruehtDj”niggah she's sexy 😱 | Mixed | Abusive | User Added |
| “@CodeeJames: That one ex you can't seem to get over<<<” an is a cunt!! | 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