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
25504 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| RT @seansteiger31: Sometimes I listen & revisit them old albums often as I can & skim through all them bitches to make sure I keep up with … | Mixed | Abusive | User Added |
| RT @seansteiger31: Melo will be a bitch if he leaves, and well Lebron is jus a bitch regardless lol | Mixed | Abusive | User Added |
| RT @seansteiger31: I don't gang bang ho, I jus gang bang these hoes 🔫 | Mixed | Abusive | User Added |
| RT @seanmdav: Since I know you're wondering, @blakehounshell: No, Cracker Barrel is not a place to buy barrels full of crackers. | Mixed | Safe | User Added |
| RT @scressful: @DFkinLopes LMfAOOO this bitch tongue longer than some niggas dicks | Mixed | Abusive | User Added |
| RT @scottydoesntN0: Cinco De mind yo own damn business, bitch | Mixed | Abusive | User Added |
| RT @scotty160: I blatantly believe that men look creepy as shit with a ghetto ass mustache | Mixed | Abusive | User Added |
| RT @scottvtracy: @AbuYazidMuawiya @amustafaanbari1 Congratulations for reinforcing the stereotype for insecure, uneducated, uncivilized, ba… | Mixed | Safe | User Added |
| RT @scottiken: It's settled. The Ding Dong is far superior than the Twinkie. | Mixed | Safe | User Added |
| RT @scott1023: "I said thin mints bitch". http://t.co/yRVQjxeyqO | Mixed | Abusive | User Added |
| RT @schoolfession: "My ex girlfriends telling people I sell pills and coke. Retweet if she's a bitch." - Durant HS | Mixed | Abusive | User Added |
| RT @schoolfession: "Bros before hoes, except chicks with no clothes" - Everywhere | 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