Zambian Language Trainer Window
Curate local language datasets and trigger asynchronous machine learning training
Multilingual
Select Target Zambian Dialect to Manage & Train:
🇿🇲
Unified (All)
🇿🇲
Chibemba
🇿🇲
Chinyanja
🇿🇲
Chitonga
🇿🇲
Silozi
🇬🇧
English
🌐
Mixed/General
Local Dataset Inspector: All
25506 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| RT @DannyTanner: highest score on flappy bird, cant be beat http://t.co/I2qgsWiPDC | Mixed | Safe | User Added |
| RT @DannyDeVito: Wisconsin IASIP nice work bitches! | Mixed | Abusive | User Added |
| RT @DankyChan88: Dumb bitches broke my tv, went to wal mart fucked up... Wokeup with a smart tv lol | Mixed | Abusive | User Added |
| RT @DanielMtz1997: 20 rts I'll go down there and say "fuck er right in the pussy" 😂😂😂😂😂 http://t.co/RZFhAbWTSv | Mixed | Abusive | User Added |
| RT @DanielGennaoui: A bird that courts females by building a beautiful nest with bright objects: http://t.co/gi2rRlGRo6 … #wildlife http://… | Mixed | Safe | User Added |
| RT @DanielBiltmore: Basic bitches > basic cable | Mixed | Abusive | User Added |
| RT @DanaPerino: Was just handed this on my flight. Must be in good hands on this bird! http://t.co/7vJwDCdTxV | Mixed | Safe | User Added |
| RT @Dan_OSU_Hashtag: You ever look at a bitch and just be like... Bitch | Mixed | Abusive | User Added |
| RT @DanHarrison1985: 😂 RT @CecilHurt: Charlie Strong got down to the 53-man roster nearly as quickly as Texans did | Mixed | Safe | User Added |
| RT @DanDanManlyMan: @00sexilexi00 Swiggety swag, I love you too fag | Mixed | Abusive | User Added |
| RT @DanBilzerian: My boy is obviously gonna be slaying all the pussy tonight, dressed as a ninja turtle http://t.co/su2HNFq6S8 | Mixed | Abusive | User Added |
| RT @DanBilzerian: Apple, your new iPhone software is shit, maybe I'll sue u cunts & request damages based on the pussy Ive missed out on b/… | 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