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Update README.md

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  license: mit
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  task_categories:
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  - question-answering
 
 
 
 
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  language:
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  - vi
 
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  tags:
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  - question-generation
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  - nlp
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  - faq
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  - low-resource
 
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  pretty_name: HVU_QA
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  size_categories:
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  - 10K<n<100K
@@ -41,8 +47,8 @@ A fine-tuned `VietAI/vit5-base` model trained on HVU_QA achieved:
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  | Metric | Score |
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  |-------------------------|----------------|
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- | BLEU | 90.61 |
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- | Semantic similarity | 97.0% (cos ≥ 0.8) |
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  | Human grammar score | 4.58 / 5 |
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  | Human usefulness score | 4.29 / 5 |
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@@ -141,4 +147,4 @@ If you use **HVU_QA** in your research, please cite:
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  booktitle={...},
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  year={2025}
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  }
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- ```
 
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  license: mit
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  task_categories:
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  - question-answering
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+ - text-generation
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+ - table-question-answering
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+ - sentence-similarity
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+ - feature-extraction
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  language:
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  - vi
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+ - en
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  tags:
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  - question-generation
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  - nlp
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  - faq
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  - low-resource
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+ - code
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  pretty_name: HVU_QA
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  size_categories:
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  - 10K<n<100K
 
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  | Metric | Score |
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  |-------------------------|----------------|
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+ | BLEU | 89.1 |
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+ | Semantic similarity | 91.5% (cos ≥ 0.8) |
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  | Human grammar score | 4.58 / 5 |
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  | Human usefulness score | 4.29 / 5 |
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  booktitle={...},
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  year={2025}
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  }
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+ ```