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 @_ItsUpWitPc: Gotta eat her pussy so good she forget dick coming next. Have her talking to herself like "he brought dick with him too"" … | Mixed | Abusive | User Added |
| RT @_ImtrILLasFuk: If her pussy got over 10 body counts, It's dead💀. Pussies🐱 only have 9 lives 😂😂 | Mixed | Abusive | User Added |
| RT @_ImtrILLasFuk: A girl KNOWS when a bitch likes her boyfriend 😴👐 | Mixed | Abusive | User Added |
| RT @_ImOVERSEAS: Hoes out here selling pussy for some new uggs! You disqualified | Mixed | Abusive | User Added |
| RT @_IStayLowkey_: This bitch must be stopped http://t.co/plNmHgU4yY | Mixed | Abusive | User Added |
| RT @_IBeKev: Throw me a blunt bitch | Mixed | Abusive | User Added |
| RT @_IAmMariahJ: @1017_Sqquad man I just went from 0 - 100 real quick I ain't no hoe the fuck niggas thought this was ?😒 | Mixed | Abusive | User Added |
| RT @_HolySmokes: If you can't eat pussy that's got hair on it I'm not even sure you really know how to eat pussy. | Mixed | Abusive | User Added |
| RT @_Headsyoulose: I'll write a poem for u hoe http://t.co/jQPzftI14w | Mixed | Abusive | User Added |
| RT @_Fvfx: Pussy will always be my fav iggy song, like how do you not like a song that just says pussy numerous amounts of time. | Mixed | Abusive | User Added |
| RT @_FreeMax_: 😂😂😂😭 skitdaddle wit that shit hoe http://t.co/BXsLCSHjHE | Mixed | Abusive | User Added |
| RT @_Foreverfamous_: "@vintage_monroe_: “@VineForTheByrd: Girlfriends Be Like....😂😭🙌💯 https://t.co/QM5XDxNQyN”bitch we don't want him"😂😂😭😭💀💀 | 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