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 |
|---|---|---|---|
| Nobody on planet Earth more protective than bull dykes | Mixed | Abusive | User Added |
| Nobody is going to say anything about how unloyal Sterling's side bitch is? | Mixed | Abusive | User Added |
| Nobody gives me a trophy cause I'm old and colored #FavStarTweets  | Mixed | Safe | User Added |
| Nobody ever got famous by being a whiny bitch. Either change the things that make you unhappy, or be a whining turd-farmer. | Mixed | Abusive | User Added |
| Nobody cares you fucking fag damn you bring bitches water even though youre thirsty as fuck 😂😂😂 #fucknigga | Mixed | Abusive | User Added |
| Noap. Not taking them. RT @TiffNCompany: Maca root pills making my vagina do the wop | Mixed | Safe | User Added |
| No. She's gonna sit tf down & text her "hoes." She's not gonna care about what you're doing. | Mixed | Abusive | User Added |
| No. Its wrong to try to change #faggots> There is no "therapy" so #tcot should understand and sympathize like they are #retards> | Mixed | Hate Speech | User Added |
| No. A dog like that needs bitches and he ain't ever gonna get bitches with that on him 😒😤 | Mixed | Abusive | User Added |
| No wonder these ppl that call themselves niggas & thugs able to convince their hoes false ideas about men like me in our intellectual dress | Mixed | Abusive | User Added |
| No wealth doesn't insulate from being called nigger. But still does improve empirical quality of life outcomes, phenomenally. @Dwight_Dale | Mixed | Abusive | User Added |
| No way all u niggers are employees of the month | 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