EthioNLP/Amharic_Instruction_dataset

SFT-Data for Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets Dataset Summary The Walia dataset is designed to enhance large language models for the Amharic language by: Converting existing task-specific datasets (e.g., sentiment analysis, QA, NER) into instruction format. Creating new generative datasets (e.g., poem generation, religious lyrics, story generation). Translating English instruction datasets (e.g., Alpaca… See the full description on the dataset page: https://huggingface.co/datasets/EthioNLP/Amharic_Instruction_dataset.

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