Datasets:
Dataset Card for Amharic Follow-Up Question Dataset
Dataset Summary
The dataset contains Amharic follow-up questions designed for use in natural language understanding (NLU), natural language generation (NLG), and conversational AI applications. It is intended to support tasks such as question generation, dialogue systems, and other Amharic language processing applications.
Dataset Details
This dataset was curated by crowdsourced workers and is one of the few resources specifically targeted at Amharic follow-up question generation. It aims to address the lack of comprehensive conversational datasets for the Amharic language.
Dataset Sources
The data was collected by crowdsourced workers who contributed follow-up questions based on a provided context and initial question.
- Repository: [https://github.com/esti-tech/research]
- Paper: ["Amharic Follow Up Question"]
Uses
Direct Use
The dataset is suitable for training and evaluating Amharic question generation models, conversational AI systems, and research into Amharic NLU and NLG.
Out-of-Scope Use
This dataset is not intended for non-text-based tasks or for general-purpose NLP tasks unrelated to Amharic conversational systems.
Citation
@dataset{tekle.estifanos.17@gmail.com,
title={Amharic Follow-Up Question Dataset},
author={Estifanos Abebaw,Gebeyehu Belay },
year={2025},
publisher={Bahirdar University},
note={https://github.com/esti-tech/research}
}
More Information
For updates or inquiries, please contact: Tekle.estifanos.17@gmail.com
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