Zambian Language Trainer Window
Curate local language datasets and trigger asynchronous machine learning training
Multilingual
Select Target Zambian Dialect to Manage & Train:
πΏπ²
Unified (All)
πΏπ²
Chibemba
πΏπ²
Chinyanja
πΏπ²
Chitonga
πΏπ²
Silozi
π¬π§
English
π
Mixed/General
Local Dataset Inspector: All
25506 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| RT @TheLittleFella_: @OLE_VertyBstard @savage_life091 bitch should've got out of her yard | Mixed | Abusive | User Added |
| RT @TheKyleHardy: Serving size is Latin for you’re a little bitch | Mixed | Abusive | User Added |
| RT @TheKizzler: make today yo bitch | Mixed | Abusive | User Added |
| RT @TheKitchensHeat: Don't beef over no bitch.. | Mixed | Abusive | User Added |
| RT @TheKingScottyD: Side niggas get pussy and main niggas get arguments | Mixed | Abusive | User Added |
| RT @TheJoeySwoll: Don't be with a "bad bitch" that just looks good. Find a GOOD WOMAN that tells you when you're slippin and pushes you to… | Mixed | Abusive | User Added |
| RT @TheHolyKuran: When you drop all your hoes for your girl and she say she dont want a relationship http://t.co/GuZXabJiXj | Mixed | Abusive | User Added |
| RT @TheHolyKuran: Bitches eyebrows be 5% hair and 95% makeup talkin bout “eyebrows on fleek” smh sit down before i lick my thumb hoe | Mixed | Abusive | User Added |
| RT @TheHangingWire: don't EVER be ashamed of who you are. unless you a hoe... then be ashamed bitch. | Mixed | Abusive | User Added |
| RT @TheGoogleFactz: Cheating and having hoes gets old. Everyone should want to reach a point where they're mature enough to stay faithful &… | Mixed | Abusive | User Added |
| RT @TheGoodGodAbove: Victoria’s real secret? Five nipples and a sideways vagina. | Mixed | Abusive | User Added |
| RT @TheFunnyVines: Crazy bird https://t.co/XuvE34qenH | Mixed | Safe | 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