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  - **Context:** Supporting text passage from which the answer is derived
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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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- 2. Automated data crawling to collect raw QA webpages.
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- 3. Extraction via semantic tags to obtain clean Question–Context–Answer triples.
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- 4. AI-assisted filtering to remove noisy or factually inconsistent samples.
 
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  ## 📊 Quality Evaluation
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  A fine-tuned `VietAI/vit5-base` model trained on HVU_QA achieved:
 
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  - **Context:** Supporting text passage from which the answer is derived
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  - **Answer:** Answer span within the context
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+ ## ⚙️ Creation Pipeline
 
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+ The dataset was built using a 4-stage automated process:
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+ 1. **Selecting relevant QA websites** from trusted sources.
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+ 2. **Automated data crawling** to collect raw QA webpages.
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+ 3. **Extraction via semantic tags** to obtain clean Question–Context–Answer triples.
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+ 4. **AI-assisted filtering** to remove noisy or factually inconsistent samples.
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  ## 📊 Quality Evaluation
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  A fine-tuned `VietAI/vit5-base` model trained on HVU_QA achieved: