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  1. README.md +3 -3
README.md CHANGED
@@ -26,7 +26,7 @@ size_categories:
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  - **Language:** Vietnamese
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  - **Format:** SQuAD-style JSON
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- - **Total samples:** 30,000 QCA triples (full corpus released)
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  - **Domains covered:** Social services, labor law, administrative processes, and other public service topics.
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  - **Structure of each sample:**
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  - **Question:** Generated or extracted question
@@ -59,7 +59,7 @@ These results confirm that HVU_QA is a high-quality resource for developing robu
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  ├── t5-viet-qg-finetuned/
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  ├── fine_tune_qg.py
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  ├── generate_question.py
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- ├── 30ktrain.json
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  └── README.md
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  ```
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  ## 📁 Vietnamese Question Generation Tool
@@ -100,7 +100,7 @@ python fine_tune_qg.py
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  This will:
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- 1. Load the dataset from `30ktrain.json`.
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  2. Fine-tune `VietAI/vit5-base`.
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  3. Save the trained model into `t5-viet-qg-finetuned/`.
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  - **Language:** Vietnamese
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  - **Format:** SQuAD-style JSON
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+ - **Total samples:** 3939,000 QCA triples (full corpus released)
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  - **Domains covered:** Social services, labor law, administrative processes, and other public service topics.
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  - **Structure of each sample:**
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  - **Question:** Generated or extracted question
 
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  ├── t5-viet-qg-finetuned/
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  ├── fine_tune_qg.py
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  ├── generate_question.py
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+ ├── 39k_train.json
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  └── README.md
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  ```
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  ## 📁 Vietnamese Question Generation Tool
 
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  This will:
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+ 1. Load the dataset from `39k_train.json`.
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  2. Fine-tune `VietAI/vit5-base`.
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  3. Save the trained model into `t5-viet-qg-finetuned/`.
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