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 @MrBrenBren: "@1waynostra: These bitches crazzzyyyyyy" maaannnnn | Mixed | Abusive | User Added |
| RT @Mr1738: RT @ItsJustThai: All that weave turning you bitches into horses http://t.co/3OzXUd8YTD | Mixed | Abusive | User Added |
| RT @Mr1738: "I didn't sell my pussy for $65.....it was $80!!!" http://t.co/sHPh98KzOY | Mixed | Abusive | User Added |
| RT @MotherOfBraylon: “@1inkkofrosess: @MotherOfBraylon you already know they go to fed for me ah bitch be ready to walk out the door 😂😂✌️”😂… | Mixed | Abusive | User Added |
| RT @MostSecretFacts: Twitter's home button is a birdhouse. When you join you're an egg. The logo is a bird. Most people don't realize this. | Mixed | Safe | User Added |
| RT @MostDope6995: That shit could break you down if you lose a good girl I guess you need a bad bitch to come around and make it up | Mixed | Abusive | User Added |
| RT @MosoKnowso: RT @TroyAve I got no interest in tall skinny model bitches! I like my women with some ass & hips ... | Mixed | Abusive | User Added |
| RT @MooreHnter: How to get bitches http://t.co/yUOqmgHvbf | Mixed | Abusive | User Added |
| RT @Montrell_: Bitches be swearing they pussy soooo good 😩😒 nonsense 😡 | Mixed | Abusive | User Added |
| RT @MontagKeys: Jeff Fisher saved by the refs. That was karma, but the zebras messed with it. | Mixed | Safe | User Added |
| RT @MonseeHuerta: I envy bitches with long, full eyelashes 😔 | Mixed | Abusive | User Added |
| RT @MonroeDOLL_: Who got time to be "having dem hoes"!? That's aint wassup no more | 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