Datasets:
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README.md
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- `answer`: Answer span within the context
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## ⚙️ Dataset Creation
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---
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**Pipeline:**
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1. Selecting relevant QA websites from trusted sources.
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**Licensing:** All data are collected from public-domain Vietnamese government/service portals and released under CC BY 4.0.
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## 📊 Quality Evaluation
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---
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A fine-tuned `VietAI/vit5-base` model trained on HVU_QA achieved:
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| Metric | Score |
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These results confirm that HVU_QA is a high-quality resource for developing robust FAQ-style question generation models.
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## 📁 Data Fields
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```
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.HVU_QA
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├── t5-viet-qg-finetuned/
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---
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### 📥 Load Dataset from Hugging Face Hub
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---
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```python
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from datasets import load_dataset
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---
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### 🔹 Generating Questions
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```bash
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python generate_question.py
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```
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---
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## 📌 Citation
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If you use **HVU_QA** in your research, please cite:
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```bibtex
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- `answer`: Answer span within the context
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## ⚙️ Dataset Creation
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**Pipeline:**
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1. Selecting relevant QA websites from trusted sources.
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**Licensing:** All data are collected from public-domain Vietnamese government/service portals and released under CC BY 4.0.
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## 📊 Quality Evaluation
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|
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A fine-tuned `VietAI/vit5-base` model trained on HVU_QA achieved:
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| Metric | Score |
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These results confirm that HVU_QA is a high-quality resource for developing robust FAQ-style question generation models.
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## 📁 Data Fields
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```
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.HVU_QA
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├── t5-viet-qg-finetuned/
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---
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### 📥 Load Dataset from Hugging Face Hub
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```python
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from datasets import load_dataset
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---
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### 🔹 Generating Questions
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```bash
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python generate_question.py
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```
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---
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## 📌 Citation
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If you use **HVU_QA** in your research, please cite:
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```bibtex
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