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 |
|---|---|---|---|
| “@eminoelle: Why you let these hoes tear what we had right apart” | Mixed | Abusive | User Added |
| “@drphilDONTEhue: You know idgaf about a woman's lingerie matching when I love hairy pussy so much 😂” 😷 | Mixed | Abusive | User Added |
| “@drphilDONTEhue: Now ma'am ... “@_PettyCrocker: Every jawn on here been tryna have they pussy cop a feel on Donte's peen””😳 | Mixed | Abusive | User Added |
| “@dreadHEADkidd69: pussy prolly taste like heaven 😋” 👏 | Mixed | Abusive | User Added |
| “@dominiloka: My daughter makes me with I wasn't a hoe from age 18-25” u on a roll tonight | Mixed | Abusive | User Added |
| “@dominiloka: If you can't get pussy without lying to a girl you wack” don't hate. appreciate. | Mixed | Abusive | User Added |
| “@dolodwills: Imma pull up on you eat on that pussy and dip” | Mixed | Abusive | User Added |
| “@dnumberbefore2: Lol maybe I should give in nd date these hoes on dates”let me know how that work lol | Mixed | Abusive | User Added |
| “@dnumberbefore2: Congrats to kim k .this a great day for hoes everywhere” | Mixed | Abusive | User Added |
| “@dnumberbefore2: “@Vice504fly: @dnumberbefore2 u a regular nig, u played out b” lol ima b Ig famous”these days that counts for somethin | Mixed | Hate Speech | User Added |
| “@dlogue22: Asians have short beds, my feet are hanging off the edge of the bed 😂” cuddle me bitch I'm right beside you | Mixed | Abusive | User Added |
| “@dirtyxluxury: @_Vontethekidd whens homecoming ho?”😩😂 slut the 17th | 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