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 |
|---|---|---|---|
| “@koleworld4: @what_evaittakes it's cute af bitch”😂😂 I believe u!! It's jus getting pAss trusting u wit a needle to someone head👲 | Mixed | Abusive | User Added |
| “@koleworld4: @what_evaittakes bang💁”that's a trust worthy bitch😐😩 | Mixed | Abusive | User Added |
| “@koleworld4: 😝 http://t.co/61zY8Cc47j”bitches swear they emojis😩😂 | Mixed | Abusive | User Added |
| “@kitty_hello14: @Im_Yung_Jay 🍪🍪🍪🍪🍪 bitch ass nigga fuck you ! 👏👏👏👏👏👍👍👍👍👍” <= these hoes ain't got no manners #RealTalk | Mixed | Hate Speech | User Added |
| “@kissme_faith: This bitch comes right in & gets tooo comfortable http://t.co/u9Duc84iwS”😳😧 I never saw this yo my gut all out I hate u😂😂 | Mixed | Abusive | User Added |
| “@kissme_faith: @what_evaittakes Yea bitch”dam! | Mixed | Abusive | User Added |
| “@kirstenkraft: there isn't one song on Blacc Hollywood I dislike.” Except the song with nicki minaj because that triffling bitch sucks | Mixed | Abusive | User Added |
| “@kingCvpital: “@GinaSanabria_: “@kingCvpital: “@keanabermudez: MEN are the biggest hoes lmao”””” | Mixed | Abusive | User Added |
| “@kincade00: Rico full of shyt”full of money hoe | Mixed | Abusive | User Added |
| “@kincade00: Rico be bored then a bitch”damn boy you watch me more than these hoes do | Mixed | Abusive | User Added |
| “@kiaramariexo: “@1kRock_: boot up. http://t.co/czj5npIfKi” for u hoe niggas” so girls that take BC are hoes? 🐸☕️ | Mixed | Abusive | User Added |
| “@keyna__: “@cosmeticJUNKiee: "need to get laid 😂😂😂😂 sike im celibate" bitches be like 👆👆👆👆👆👆👆”👀”👀 | 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