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 |
|---|---|---|---|
| RT @Papa_Erwin: This beat deserves Hennessey, a bad bitch, & a bag of weed. The Holy Trinity | Mixed | Abusive | User Added |
| RT @PapaRockk_: My mom paid $5 to hold this monkey & look what he did 😩😂 http://t.co/t5ZkMd8Xeh | Mixed | Safe | User Added |
| RT @PacmansBack: I don't even delete my typos, it is what it is bitch | Mixed | Abusive | User Added |
| RT @PacmanJonez: @HarlanCoben @taylor_TM @PhilWOTG they are both bitches. | Mixed | Abusive | User Added |
| RT @Pacino718: RT @Crucifixio: 👍 “Fuck the skinny bitches in the club!” - @NICKIMINAJ #ANACONDA http://t.co/HqigE3CqNa | Mixed | Abusive | User Added |
| RT @Pacific_Tomb: You hoes wanna tweet and talk about equality then hope solo better never see her family again,and go to prison and never … | Mixed | Abusive | User Added |
| RT @Pachino__: y'all be dick riding and praising these hoes that's why half of Miami feel like they celebs off this social media shit | Mixed | Abusive | User Added |
| RT @PacDaGoat: You a hoe if you give your number to another nigga while you got a man | Mixed | Hate Speech | User Added |
| RT @PacDaGoat: I really hate attention seeking hoes. Hope they all die | Mixed | Hate Speech | User Added |
| RT @PS_IRuddYou: There's a different between a slut and a bitch... A slut will sleep with anyone. A bitch will sleep with anyone... But y… | Mixed | Abusive | User Added |
| RT @PSQ_LOADUPP: I never met a faithfull bitch | Mixed | Abusive | User Added |
| RT @PRIVALEDGE: Undercover hoes | 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