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 @saraschaefer1: Can you get eye cancer from reading too many Michael Douglas pussy-juice-throat-cancer jokes? | Mixed | Abusive | User Added |
| RT @saramariewelch: Can't mean something to someone when they hittin up Otha bitches | Mixed | Abusive | User Added |
| RT @saramariewelch: Been my main nigguh since digital camera selfies @thorpe_emily http://t.co/XiQiRbQ7mP | Mixed | Hate Speech | User Added |
| RT @santos_brina: I could never mess around with someone else's man, like that's just clarifying your self as a side hoe. | Mixed | Abusive | User Added |
| RT @sangelina_xo: what's with guys and fat bitches I will clearly never understand | Mixed | Abusive | User Added |
| RT @samzbikowski: @TonyJRodriguez dude I had a video of these birds at my work fuckin | Mixed | Abusive | User Added |
| RT @samknight1: @EliLake @saletan @JeffreyGoldberg Yeah I know it's Jeff's book. The one where he admits to beating prisoners and lying abo… | Mixed | Safe | User Added |
| RT @samAfuckingA: I wish I was a bird so I could constantly shit on the people I hate! :) | Mixed | Abusive | User Added |
| RT @salomanizor: Too many faggots on here that think they can address me by my first name | Mixed | Hate Speech | User Added |
| RT @salomanizor: Kick her in the cunt | Mixed | Abusive | User Added |
| RT @salmeron_bryan: You're not the father ! What every Mexican/nigger loves to hear. | Mixed | Hate Speech | User Added |
| RT @sadiiex_: @x_NWTS answer you phone hoe, I heard boutcha | 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