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 |
|---|---|---|---|
| @JuanYeeze shut yo beaner ass up spic and hop your faggot ass back across the border little nigga, go listen to some pitbull | Mixed | Hate Speech | User Added |
| @JuanYeeze damn took this dumb spic nearly 2 days to respond, wuz really good tho beaner? | Mixed | Hate Speech | User Added |
| @JuanNDaCut @ShareA40Ounce she playin pussy hole bingo. She drawing the next number | Mixed | Abusive | User Added |
| @JuanDaMeskin you wouldn't last a day there hoe. | Mixed | Abusive | User Added |
| @JuMosq @zachkruse2 Yep. *sobs* I got my hopes up when a couple of the national guys (including that Kiper/McShay mock) had him slipping. | Mixed | Safe | User Added |
| @Jpizzle651 I didn't really have one, was aware of Yankees, but always loved Dodgers uniform! | Mixed | Safe | User Added |
| @Josh_Ward thuggery? Cheating? Talking trash? Who's doing that besides Jameis? And isn't ND in the middle of cheating issues? | Mixed | Safe | User Added |
| @JosesitoRiveraa fuck no faggot | Mixed | Abusive | User Added |
| @JoseRvmirez I'm a lil nigga?? Wait till you see nigga. You ain't ready. I'm from Chicago boy I ain't no pussy from the burbs. Just wait | Mixed | Abusive | User Added |
| @JoriBunni he talkin bout we wanna be human and I'm just like .... bitch whet? | Mixed | Abusive | User Added |
| @Jontel_20 😭 pussy | Mixed | Abusive | User Added |
| @JonnieSantana He's definitely trash. But if Bill Cohwer or Stanford 's head coach want the job I'd hire them. With a new gm of course | 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