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
25504 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| RT @dajhane9: bitch I'm not concerned about you. | Mixed | Abusive | User Added |
| RT @daishialopez: I don't watch the VS fashion show because I have bigger boobs than all of those pancake bitches lol. 😊😆 | Mixed | Abusive | User Added |
| RT @dailytiz: "Hey bitch, socialize this." I love it RT @RedMillennial: IOC Cuts Constitution From Hockey Mask http://t.co/esxKWb4qnH via @… | Mixed | Abusive | User Added |
| RT @daijahshardaee: “@_TheCrownedHead: big bitches come to the club dressed well WITH flats on. #noheels”😂😂 | Mixed | Abusive | User Added |
| RT @daijahshardaee: “@100046729: I need a bitch”👭👀😋 | Mixed | Abusive | User Added |
| RT @dahliafoxx: sick of bitches bitching about other bitches. | Mixed | Abusive | User Added |
| RT @daggerbyte: Call me old fashioned, but I'm sewn together with magic and birds. | Mixed | Safe | User Added |
| RT @dabosss_: 🐸☕️“@100046729: #oomf lying knowing he don't be bored in Brusly fckn that bald head hoe.” | Mixed | Abusive | User Added |
| RT @daberellla: pop a Molly? why don't you hoes start poppin some birth control 💊👌 | Mixed | Abusive | User Added |
| RT @daaamian_69: Derrick said if I cover my face and leave just my eyes visible I'll have tons of bitches | Mixed | Abusive | User Added |
| RT @d1_imaginary23: Boys get thirsty and grimey for a girl no pussy getting ass niggas | Mixed | Abusive | User Added |
| RT @cyberbullouing: i fought 2 little bitch ass 6 yr olds over a month ago for those :''') http://t.co/rasgyuT6pJ | 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