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 @CayMarieee: I love my BFFL, she don't even smoke but for my bday bitch gone b turntttt fa me 💙😈 | Mixed | Abusive | User Added |
| RT @CayMarieee: He said " like u got the money to do that "😂✋ don't forget I'm not yo ex bitch, I ain't broke. 💯 | Mixed | Abusive | User Added |
| RT @CauseWereGuys: You're a pussy http://t.co/Ufrr2RdcXm | Mixed | Abusive | User Added |
| RT @CauseWereGuys: When you realize bae is a hoe http://t.co/OkVjxdL7ZW | Mixed | Abusive | User Added |
| RT @CauseWereGuys: When you marry a hoe and only realize it 20 years later http://t.co/BIDlPEOA3P | Mixed | Abusive | User Added |
| RT @CauseWereGuys: When the fakest bitch you know tweets about being real http://t.co/lHq8GUCiAw | Mixed | Abusive | User Added |
| RT @CauseWereGuys: When bitches talk about their boyfriend 24/7 http://t.co/KEeJvwbGbR | Mixed | Abusive | User Added |
| RT @CauseWereGuys: We all know a hoe like this http://t.co/NvlN1xlInW | Mixed | Abusive | User Added |
| RT @CauseWereGuys: Texting bitches at 11:12 to make their dreams come true | Mixed | Abusive | User Added |
| RT @CauseWereGuys: Sex on 1st date dont mean you a hoe, waiting 120 days wont make you a wife, cute pics dont mean you happy & having a tit… | Mixed | Abusive | User Added |
| RT @CauseWereGuys: No bitch ass chick flick will ever be as sad as this movie http://t.co/OLmaJvztpR | Mixed | Abusive | User Added |
| RT @CauseWereGuys: Marilyn Monroe was the biggest hoe of all time... bitches worship her like she got a Nobel Prize and all she did was fuc… | 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