Zambian Language Trainer Window
Curate local language datasets and trigger asynchronous machine learning training
Multilingual
Select Target Zambian Dialect to Manage & Train:
🇿🇲
Unified (All)
🇿🇲
Chibemba
🇿🇲
Chinyanja
🇿🇲
Chitonga
🇿🇲
Silozi
🇬🇧
English
🌐
Mixed/General
Local Dataset Inspector: All
25506 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| “@keanabermudez: Guys are hoes these days lmao don't fucking indirect me cause I can put you on blast” who's subbin ? | Mixed | Abusive | User Added |
| “@keanabermudez: @GinaSanabria_ he's a hoe lmfao” aren't they all smuts ? lmao | Mixed | Abusive | User Added |
| “@kaylendenise_: I hate that bitch & the fact that oomf likes her.. just no 😐” retweeettt 1000x. | Mixed | Hate Speech | User Added |
| “@kanga_ruthie: When people complain to me about prices I'm just like bitch do I look like I make the rules?” | Mixed | Abusive | User Added |
| “@kaitlinfryer: Big oleeeee middle finger, bitch.” | Mixed | Abusive | User Added |
| “@justinbieber: that new 1d song diana is well written well done boyzzzzzz” bow down bitch | Mixed | Abusive | User Added |
| “@julialeungg: hoes do hoe thangs”@Maycie_Belmore | Mixed | Abusive | User Added |
| “@joytooawesome: I think this hoe pressed or some shit 😕”righttt how many times we asked where they be??ok | Mixed | Abusive | User Added |
| “@joytooawesome: @im_jessicaaaaa @vintage_monroe_ haha bitch 😋😆” http://t.co/n5uuCDTDxT | Mixed | Abusive | User Added |
| “@jooselhynn_: U hella gay u never did” quit subbing fag | Mixed | Abusive | User Added |
| “@jjusmaxx: Thot bitches wanna be wined & dined like a wife but don't know how to earn it 😴” | Mixed | Abusive | User Added |
| “@jerseyzbest74: eagles fans dont except the fact that mcoy been trash this year and that everybody figured out that spread offense” #StopIt | 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