Update README.md

README.md

@@ -1,12 +1,37 @@
+---
+license: mit
+task_categories:
+- question-answering
+- text-generation
+- table-question-answering
+- sentence-similarity
+- feature-extraction
+language:
+- vi
+tags:
+- question-generation
+- nlp
+- faq
+- low-resource
+- code
+pretty_name: HVU_QA
+size_categories:
+- 10K<n<100K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: 40k_train.json
+---
 # HVU_QA
 
-**HVU_QA** is an open-source Vietnamese Question–Context–Answer (QCA) corpus and supporting tools for building FAQ-style question generation systems in low-resource languages. The dataset was created using a fully automated pipeline that combines web crawling from trustworthy sources, semantic tag-based extraction, and AI-assisted filtering to ensure high factual accuracy.
+**HVU_QA** is an open-source Vietnamese Question–Context–Answer (QCA) corpus, accompanied by supporting tools, created to facilitate the development of FAQ-style question generation and question answering systems, particularly for low-resource language settings. The dataset is developed by a research team at Hung Vuong University, Phu Tho, Vietnam, led by Dr. Ha Nguyen, Deputy Head of the Department of Engineering Technology. HVU_QA was constructed using a fully automated data-building pipeline that combines web crawling from reliable sources, semantic tag-based extraction, and AI-assisted filtering, helping ensure high factual accuracy, consistent structure, and practical usability for real-world applications.
 
 ## 📋 Dataset Description
 
 - **Language:** Vietnamese
 - **Format:** SQuAD-style JSON
-- **Total samples:** 39,000 QCA triples (full corpus released)
+- **Total samples:** 40,000 QCA triples (full corpus released)
 - **Domains covered:** Social services, labor law, administrative processes, and other public service topics.
 - **Structure of each sample:**
   - **Question:** Generated or extracted question
@@ -39,7 +64,7 @@ These results confirm that HVU_QA is a high-quality resource for developing robu
 ├── t5-viet-qg-finetuned/
 ├── fine_tune_qg.py
 ├── generate_question.py
-├── 39k_train.json
+├── 40k_train.json
 └── README.md
 ```
 ## 📁 Vietnamese Question Generation Tool
@@ -80,7 +105,7 @@ python fine_tune_qg.py
 
 This will:
 
-1. Load the dataset from `39k_train.json`.  
+1. Load the dataset from `40k_train.json`.  
 2. Fine-tune `VietAI/vit5-base`.  
 3. Save the trained model into `t5-viet-qg-finetuned/`.  
 
@@ -130,4 +155,38 @@ If you use **HVU_QA** in your research, please cite:
   address   = {Nha Trang, Vietnam},
   note      = {To appear}
 }
-```
+```
+## ❤️ Support / Funding
+
+If you find **HVU_QA** useful, please consider supporting our work.  
+Your contributions help us maintain the dataset, improve quality, and release new versions (cleaning, expansion, benchmarks, and tools).
+
+### 🇻🇳 Donate via VietQR (scan to support)
+This **VietQR / NAPAS 247** code can be scanned by Vietnamese banking apps and some international payment apps that support QR bank transfers.
+
+<img src="QRtk.jpg" alt="VietQR Support" width="320"/>
+
+**Bank:** VietinBank (Vietnam)  
+**Account name:** NGUYEN TIEN HA  
+**Account number:** 103004492490  
+**Branch:** VietinBank CN PHU THO - HOI SO  
+
+### 🌍 International Support (Quick card payment)
+If you are outside Vietnam, you can support this project via **Buy Me a Coffee**  
+(no PayPal account needed — pay directly with a credit/debit card):
+- BuyMeACoffee: https://buymeacoffee.com/hanguyen0408
+
+### 🌍 International Support (PayPal)
+If you prefer PayPal, you can also support us here:
+- PayPal.me: https://paypal.me/HaNguyen0408
+
+### ✨ Other ways to support
+- ⭐ Star this repository / dataset on Hugging Face  
+- 📌 Cite our paper if you use it in your research  
+- 🐛 Open issues / pull requests to improve the dataset and tools
+- 
+📬 Contact / Maintainers
+For questions, feedback, collaborations, or issue reports related to HVU_QA, please contact:
+Dr. Ha Nguyen (Project Lead)
+Hung Vuong University, Phu Tho, Vietnam
+Email: nguyentienha@hvu.edu.vn