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 @__HerEyezLow: U gotta be a pathetic bitch to ride by another females house looking for a nigga that ain't yours smh | Mixed | Abusive | User Added |
| RT @__Harveyyy: People getting called all types of bitches over music lol you know how ridiculous that is? | Mixed | Abusive | User Added |
| RT @__E_T___: Brown colored eyes are really blue, under a layer of melanin. | Mixed | Safe | User Added |
| RT @__DayAnnaa: Bobby bitch bobby bitch 🔥🔥😈 | Mixed | Abusive | User Added |
| RT @__DatTootieGurl: "@1stBlocJeremiah: These hoes got more bodies than a cemetery🐸☕️." | Mixed | Abusive | User Added |
| RT @__CocaineCowboy: Freaky ass ready ass hoes | Mixed | Abusive | User Added |
| RT @__BrionnaNicole: Never realize the precious time you bitch niggas is wasting 👆 | Mixed | Abusive | User Added |
| RT @__BrighterDays: I don't understand I don't even fuck with these bitches but I'm so relevant to them though 😴 | Mixed | Abusive | User Added |
| RT @__BrighterDays: I don't be worrying about these messy hood ass hoes but they worrying about me though. Why? 🙇 | Mixed | Abusive | User Added |
| RT @_YourHoesStink: “@PizzaBeforeHoes: I hate a "I'm my own WCW 💁" ass bitch 😂” | Mixed | Abusive | User Added |
| RT @_Withluv_Kira: “@ChiChi_knows: What's yall favorite chappelle show skit?” Is wayne Brady gonna have to choke a bitch? 😂 | Mixed | Abusive | User Added |
| RT @_WhitePonyJr_: @Eric_Mariners @JC_1221 peace out then faggot http://t.co/qSGyCVcvaP | 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