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 |
|---|---|---|---|
| "@PRETTyBOSs_BRAt: We don't love these hoes 👐🙅" | Mixed | Abusive | User Added |
| "@PRAYINGFORHEAD: “@macklemroe: Stop bringing weird niggers into my mentions! @PRAYINGFORHEAD” http://t.co/cussDJesRK" | Mixed | Abusive | User Added |
| "@OfficialReplay: I am lowkey tired." ...if you tired, be quiet and go to sleep hoe! | Mixed | Abusive | User Added |
| "@OSAY_it_aint_so: “@IgnoreAllLaws: Fosters home for imaginary trash” WHOA CHILL" that show was everything tf | Mixed | Safe | User Added |
| "@NotoriousBM95: @_WhitePonyJr_ Ariza is a snake and a coward" but at least he isn't a cripple like your hero Roach lmaoo | Mixed | Hate Speech | User Added |
| "@No_FAKINGG: People always asking me what I'm mixed with." She a bad asian bitch lol | Mixed | Abusive | User Added |
| "@NoChillPaz: "At least I'm not a nigger" http://t.co/RGJa7CfoiT" Lmfao | Mixed | Hate Speech | User Added |
| "@Nicholas_ted33: Kobe stay talking trash. But let's not forget http://t.co/VH4tnEkvTP" @J_Austin12 I meant to do this one. Smh. | Mixed | Abusive | User Added |
| "@NewsomeJade: I ain't never seen a bitch so obsessed with they nigga😂" I'm obsessed with mine 😑 | Mixed | Abusive | User Added |
| "@NastyCopper: Money getting taller and bitches getting blurry" | Mixed | Abusive | User Added |
| "@NICKIMINAJ: #WutKinda r purple. Ceeeleee"man this gurl was jus playin on the "stupid hoe " track. But in still shitted on sum gurls | Mixed | Abusive | User Added |
| "@MvckFadden: "Stay beautiful you bitch"" | 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