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 @CrittaMo: I'm getting tired of these same ol no hope broke bitches! No job, all they wanna do is twerk and smoke Swishers | Mixed | Abusive | User Added |
| RT @Crimefetish: But bitches do that too http://t.co/KWFRABGuwj | Mixed | Abusive | User Added |
| RT @CreepyScout: Bend over. And pick up that trash. | Mixed | Safe | User Added |
| RT @CreepGawddess: Wait what?? RT @SoulfulBrotha: $65 a random number for some pussy. | Mixed | Abusive | User Added |
| RT @CreepGawddess: Having a friend that's a hoe but boring is probably depressing. | Mixed | Abusive | User Added |
| RT @CreepGawddess: "Uhh bitch, don't tell him "Bless you." when he sneeze. He got all the blessings he need with ME." http://t.co/z4P52LbfeK | Mixed | Abusive | User Added |
| RT @CreationOfJay: No girl sucks dick but somehow all dudes get head. Dudes only fuck bad bitches yet all these ugly girls getting pregnant… | Mixed | Abusive | User Added |
| RT @CraziestSex: she killed that bitch 😫😂 http://t.co/uVS9E1gxPF | Mixed | Abusive | User Added |
| RT @CraziestSex: if you don't eat pussy you're childish and immature. | Mixed | Abusive | User Added |
| RT @CraziestSex: hoes these days be like 😂 http://t.co/AvlwKKD8rW | Mixed | Abusive | User Added |
| RT @CraziestSex: hmu when you stop bein a lil bitch | Mixed | Abusive | User Added |
| RT @CraziestSex: Sucking dick & eating pussy is apart of sex. If you think it's nasty then maybe your ass is too YOUNG to be fucking in the… | 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