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 @jazzy_luvvs_you: Chantel isn't a side hoe bc apparently she's lesbian. IM DONE WITH LIFE. All these months hating her for no reason. | Mixed | Abusive | User Added |
| RT @jaynovel: Real RT @JRUIZ__: Few things worse than forcing a conversation with a dumb bitch | Mixed | Abusive | User Added |
| RT @jaymesshaylan: fuuck jalens a slow bitch! | Mixed | Hate Speech | User Added |
| RT @jaylynnkoliba: @TonyJRodriguez imma get my crew on dis fuckin fag #3hunnad real talk nigga #turn up | Mixed | Abusive | User Added |
| RT @jay_ibarra95: Your tweets remind me of the times when we did the Oreo milkshake runs @ 1am in the morning !! 😂😭😭😭 @Vikyfdez15 | Mixed | Safe | User Added |
| RT @jay_gee24: Damn it wigga 😂😂😂😂 | Mixed | Abusive | User Added |
| RT @jaxx_staxx: “@baranosky_: 1 day down 39 more days with out pot #lent”your a faggot | Mixed | Abusive | User Added |
| RT @jaunthegoat: Lost my erection and found it in your girlfriends pussy | Mixed | Abusive | User Added |
| RT @jasminee_gamboa: hoes will be hoes . | Mixed | Hate Speech | User Added |
| RT @jarieVee_: 28. Basically, you can't be bold and be a hoe at the same time. | Mixed | Abusive | User Added |
| RT @jarieVee_: 24. Her. When we found her she was so sloppy and I tried to drag her to the car. She was fighting back and the bitch was hea… | Mixed | Abusive | User Added |
| RT @janesports: As NFL reportedly asks bird-flipping M.I.A. for another $15M, let's revisit @SarahSpain's column on ridiculousness: http://… | 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