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 |
|---|---|---|---|
| “@_1KANE: LMAOOO I find this shit so funny y'all hoes ain't content with working it out with one nigga http://t.co/dBtcv0fBN1”that's boring | Mixed | Abusive | User Added |
| “@ZvckSlvt3r704: My sister shittin on you hos once again "@VSamone: wodeh bout dat action http://t.co/nzHXA8GuA5"”😘😘😘 | Mixed | Abusive | User Added |
| “@ZeeCobb: All I want for my birthday is a female with a large buttocks.” Big booty hoe | Mixed | Abusive | User Added |
| “@YungEthiopian: " I got a natural mean face" "i be havin mean mugs and ion even be knowin" bitch shut the fuck up”right | Mixed | Abusive | User Added |
| “@Yummy: Oreo ice cream cake 🙌 http://t.co/dvabPmgQjo” 😍 | Mixed | Safe | User Added |
| “@YoureGayIf: .@1227jarred Shut up, faggot.”😂Set himself up | Mixed | Abusive | User Added |
| “@YeridZee: I'm not a bitch like @Vikyfdez15 💁 lol” sorry not sorry, tried to give him a hint that I didn't want to speak to him so idc 😌 | Mixed | Abusive | User Added |
| “@Yattabing Cavs trash.. Heat trash.. Smh”pat gotta make trades | Mixed | Safe | User Added |
| “@Yankees: Alfredo Aceves in to relieve @CC_Sabathia here in the 4th. #Yankees” he needs to go away , gas can ! | Mixed | Safe | User Added |
| “@Yankees: #Yankees and Red Sox are scoreless as we play in the 2nd inning.” THE BAMBINO IS WATCHING! | Mixed | Safe | User Added |
| “@YaBoyRoshi: When you try to smash but that pussy stank http://t.co/alfwPUmnls” | Mixed | Abusive | User Added |
| “@Xenoss_: I don't love these hoes” *we | 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