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 |
|---|---|---|---|
| I would leave my crib and go somewhere but I'm pretty sure I'll die cause if my bitch ass car sliding everywhere | Mixed | Abusive | User Added |
| I would describe @whatupag's work as blaxican. | Mixed | Safe | User Added |
| I would def call Dwight a cradle robbing faggot if I were Kobe. | Mixed | Abusive | User Added |
| I would commit the rest of my gay life to being a complete 100% submissive bottom if I could be Zac Efron's bitch. #NoShame #gayboyproblems | Mixed | Abusive | User Added |
| I would call you a bitch, but that's frowned upon. | Mixed | Abusive | User Added |
| I would bitch about the weather being bipolar, but I'm just gonna appreciate how nice it is instead | Mixed | Safe | User Added |
| I wonder who wrote that blog... Either a hoe dat let a few of them niggas beat to no avail, or a bitch nigga who hoe let a few of em beat | Mixed | Abusive | User Added |
| I wonder where all these bitches I got at ? | Mixed | Abusive | User Added |
| I wonder when twerking dies, what will all the hoes that became World Star famous lives be like? #wherearetheynow? | Mixed | Abusive | User Added |
| I wonder if twitter didnt allow pictures and avi's how many followers yall would really have ... Cus yall bitches dont be talkin bout shit 😂 | Mixed | Abusive | User Added |
| I wonder if there's ever a day in my sisters life that she's ever not a complete and utter bitch, or if she saves it special just for me… | Mixed | Abusive | User Added |
| I wonder if that bitch dead yet | 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