metadata

license: mit
tags:
  - Amharic
  - Bahirdar university
  - question generation
  - NLP
task_categories:
  - text2text-generation
size_categories:
  - 10K<n<100k

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

Dataset Description

Curated by: Estifanos Abebaw
Funded by: Bahirdar University
Shared by: Gebeyehu Belay (Dr. of Eng)
Language(s): Amharic
License: MIT

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{[email protected],
  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: [email protected]