README.md

---
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

```bibtex
@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]