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
“@TheRealTenski: Miss you @Ex” pussy Mixed Abusive User Added
“@TheRealMFast: I hate this shit like why y'all bitches think that's cute? http://t.co/UXSzeXGUjU”<total clothing violation Mixed Abusive User Added
“@TheManOnCampus: “@VSamone: @5HAWTYYY smoking skating twerking”I'm innat hoe”yas Mixed Abusive User Added
“@TheFunnyVine: Red Neck Ice Bucket Challenge 😂 https://t.co/cAgp3nIofd” he must be from the SIP. #redneck Mixed Safe User Added
“@TheFatAmy: Uh excuse me bitch, you don't need to shout.” @LauraSimpson19 @jdjohnson7 Mixed Abusive User Added
“@TheDukeKnight: Typical hoe costumes: 1. Cat 2. Nurse 3. Bunny 4. Police officer 5. Themselves”💁 Mixed Abusive User Added
“@TheDevonClarke: I swear if I see any snow tomorrow.... http://t.co/uesygaQLhx” bruhh you sound like a basic white bitch Mixed Abusive User Added
“@Thatindianbruh: Food > Pussy but pussy = Food so food ≥ pussy.” http://t.co/ZJ3zyduxkO Mixed Abusive User Added
“@ThatIrvNation: Today was a long practice” bitch no it wasn't 😑 Mixed Abusive User Added
“@ThatDamnTwerk1 Beef is when a bitch titties looking like they sleep... RT @laidback_813: What's beef...” http://t.co/P2lR0nko6o Mixed Abusive User Added
“@ThatDamnTwerk1 "When you gonna take me out?" RT @DrTruth247: Some hoes not gonna let you come over until you spend money on them”listen Mixed Abusive User Added
“@ThadIsReal: Ladies If a nigga always wanna go out and party every weekend . He basically side hoe shopping”😂 Mixed Abusive User Added

Add Local Phrase

Batch Import CSV

CSV Only

Upload 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