Select Target Zambian Dialect to Manage & Train:

πŸ‡ΏπŸ‡² Unified (All)
πŸ‡ΏπŸ‡² Chibemba
πŸ‡ΏπŸ‡² Chinyanja
πŸ‡ΏπŸ‡² Chitonga
πŸ‡ΏπŸ‡² Silozi
πŸ‡¬πŸ‡§ English
🌐 Mixed/General

Local Dataset Inspector: All

25506 Records
Phrase Text Dialect Category Label Source
“@PostBadBitches: http://t.co/rPo0QUumBm” how young is this hoe with a m&m pillow Mixed Abusive User Added
“@PostBadBitches: http://t.co/adhJnGzVPg”these the white girls u should holla at but Nooooo brothas go for the ugliest bad built hoes ever Mixed Abusive User Added
“@PoeticallyLucky: It's like when a bitch gotta pretty pussy but it's loose .” #witchcraft Mixed Abusive User Added
“@PlMPCESS: In the fashion world "urban" means "stolen from black people" its ghetto on us, and urban on them haha http://t.co/S0XWGfLJ9C” 🙌 Mixed Safe User Added
“@PharaohJas: "Darkskin Girls Ugly" 🆗🆒 http://t.co/DYeAY2t5AA”flawless ass bitch Mixed Abusive User Added
“@Papi_sez: Why is everyone who thinks you're an unfunny pandering jizzbag automatically a troll? @thatUPSdude” And he hate colored folk Mixed Abusive User Added
“@PaigeHardesty: A relationship is only made for two.. but some bitches don't know how to count.”amen to that! Mixed Abusive User Added
“@PRAYINGFORHEAD: spongebob out here beating bitches up http://t.co/eWIHBSQEk8”@based_shinigami Mixed Abusive User Added
“@OsmanMasabah: Spitting on people just shows you weren't raised right. In another words it's a bitch nigga trait.” @VictorSmith90 Mixed Abusive User Added
“@OpTic_NaDeSHoT: No longer a side bitch @ProSyndicate http://t.co/qWcUNa7vcV” @Zneezy2Good 😂😭 Mixed Abusive User Added
“@OnStar: #Mondays are a whole lot better when you're driving a vehicle http://t.co/LIixxMzNdZ” "That white pussy uhhh get ya" Mixed Abusive User Added
“@OhhNickHarmon: If she's sending you nudes on snap chats but your not one of the 3 guys on her favorites, she a hoe.”😂😂😂😭 Mixed Abusive User Added

Add Local Phrase

Batch Import CSV

CSV Only

Upload 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