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 @KvTrK24: Ross pulling hoes @DreWill52 @Awight54 @Da_KodaBear http://t.co/YefRlbvDvb | Mixed | Abusive | User Added |
| RT @Kush_Dace: S/O to them side hos that know they the side hos we need more of ya! | Mixed | Abusive | User Added |
| RT @KushDahGodd: Five things I'll never give a bitch☝️ 1:My Heart 2:My Weed 3:My Money 4:My Twitter 5:My Netflix password 💯💯💯💯💯💯💯 | Mixed | Abusive | User Added |
| RT @Kstar__: Ya beats trash nigga RT @ChiefKeef: #SosaOnTheBeat fuck who don't like! | Mixed | Abusive | User Added |
| RT @Kstar__: Told you RT @Astronaut_Tone: Artprize is more than trash | Mixed | Safe | User Added |
| RT @KrysHazeyy: I swear bitches fall over niggas who don't believe in combing their hair | Mixed | Abusive | User Added |
| RT @Krislisisms: Today something is dope. Tomorrow that same thing is trash. Next month it is irrelevant. Next year it's classic. | Mixed | Safe | User Added |
| RT @Krislisisms: Hot 97 trash. | Mixed | Safe | User Added |
| RT @Krislisisms: Grow up, bitch. | Mixed | Abusive | User Added |
| RT @Krislisisms: B/c her ass fat? Maybe her pussy wack & it drove her man to crack. RT @FightCIubs Khloe Kardashian is winning at life http… | Mixed | Abusive | User Added |
| RT @KrisDaRebel: “@Aye_Benny: Searching for these hoes I got 😕 http://t.co/DsdfEjI65U” you ain't the only one Bruh http://t.co/c7R3WRcPK0 | Mixed | Abusive | User Added |
| RT @KrisAnnIn: “So wake the bitch up!l” - Jack Bauer #24LAD | 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