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
25504 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| RT @yungxprnce: Approach yo bitch like: http://t.co/UHMIME9psw | Mixed | Abusive | User Added |
| RT @yungturd: miley cyrus, macklemore & adam levine all got together n were like "lets gets the most retarded fucking hair cuts ever" | Mixed | Abusive | User Added |
| RT @yungtfti: If a bitch says "eeeeeee" she a hoe | Mixed | Abusive | User Added |
| RT @yunglust: @WeakndMLG @hannahtherapper she a hoe year-round, yeezy taught me | Mixed | Abusive | User Added |
| RT @yunglex3_: Don't want a good girl, hoes is his choice | Mixed | Abusive | User Added |
| RT @yungkatana: free wop | Mixed | Abusive | User Added |
| RT @yungbabydad: @RandallSomia because they're all fucking two years old acting like I won't mind being tagged bitch I will violate you | Mixed | Abusive | User Added |
| RT @yung_sexxistud: Hoes tweets be like put that dick in my throat I won't choke then when you ask them about it they say its a song hoe wh… | Mixed | Abusive | User Added |
| RT @yung_gleesh: If rather fukk a bitch dat fukks eryday den fukk dat bitch who try to hol n be a cold whore n da sheets i cnt een look at … | Mixed | Abusive | User Added |
| RT @yummy_pearl4: "You put my number on blocklist? How can I stop this??? Convert them mfs. I'll make all them hoes topless." 😤🔪 | Mixed | Abusive | User Added |
| RT @yous_a_cutie98: If you know he has a girlfriend don't be that little bitch, respect it and move on. | Mixed | Abusive | User Added |
| RT @younngmel: Fuck half the bitches at Mount Rainier  i only fucks wit a few | 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