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 |
|---|---|---|---|
| “@cierravillela yeah it's really far and it's alright if you like living by a whole lot of hicks haha | Mixed | Abusive | User Added |
| “@chrisbrown: These hoes ain't loyal [i would know cause I'm a hoe] but my fans damn sure are!” - real | Mixed | Abusive | User Added |
| “@chloeonvine: im just a sarcastic lil bitch who loves to sleep and eat” | Mixed | Abusive | User Added |
| “@chloeonvine: Are. You. Kidding. Me. Right. Now. http://t.co/lFSvymMqTN” I'll smack a hoe | Mixed | Abusive | User Added |
| “@chloekosik: I DONT FUCK YOUUU u lil stupid ass bitch I AINT FUCKIN WIT YOU u lil dumbass bitch I AINT FUCKIN WIT YOU” @kaylamauser_ | Mixed | Abusive | User Added |
| “@cb_marie: I need to find is both a damn job. “@what_evaittakes: @cb_marie needs to find a bitch a job😩😩””right | Mixed | Abusive | User Added |
| “@cb_marie: Fuck them texts! 😎 it's a movement. Lmaooo “@koleworld4: courts texting rubbed off on me 😂””she used to be bitch bout it tho 😩 | Mixed | Abusive | User Added |
| “@cb_marie: @what_evaittakes 😳😩😂😂 now bitch you know.. Lmaooo”😂😂😂 | Mixed | Abusive | User Added |
| “@candacevon: Niggas talk more then bitches these days 😒” #facts | Mixed | Abusive | User Added |
| “@bwanaaa_16: I like down bitches” | Mixed | Abusive | User Added |
| “@butter_obama: I hate when I attempt to make the yellow light but the car infront of me stops at the light 😡😡😡”‼️ I be wanting to fight😂 | Mixed | Safe | User Added |
| “@briceokc: "cigarettes are so gross" -half the bitches that smoke cigarettes 😒” @gfys__ | 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