A multilingual emotion classification dataset covering four languages spoken in Ghana, built to support fine-tuning of small language models (e.g. SmolLM2) for emotion detection in low-resource African language contexts.
Languages
English, Twi, Ewe, Dagbani
Task
Emotion classification
Format
Instruction-tuned (input → structured output)
Splits
Train / Validation / Test (80 / 10 / 10)
Source