Update README.md

README.md

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 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: question
-    dtype: string
-  - name: answer
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 637185899.2
-    num_examples: 3172
-  - name: test
-    num_bytes: 159296474.8
-    num_examples: 793
-  download_size: 795446071
-  dataset_size: 796482374.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
 ---
+language:
+- en
+task_categories:
+- visual-question-answering
+- image-classification
+task_ids:
+- visual-question-answering
+license: cc-by-4.0
+---
+
+# Building Defect VQA Dataset
+
+## Dataset Description
+
+This dataset is a **Visual Question Answering (VQA)** version of the original **BD3 (Building Defect Dataset)**.
+It is designed for training and evaluating **Vision–Language Models (VLMs)** on building defect recognition tasks.
+
+Each image is paired with a fixed question and a defect category as the answer.
+
+---
+
+## Dataset Structure
+
+Each sample contains:
+
+- **image**: RGB image of a building surface  
+- **question**:  
+  > *"What type of building defect is visible in the image?"*
+- **answer**: One of the following defect classes:
+  - `algae`
+  - `major_crack`
+  - `minor_crack`
+  - `peeling`
+  - `plain`
+  - `spalling`
+  - `stain`
+
+---
+
+## Intended Use
+
+This dataset is suitable for:
+- Visual Question Answering (VQA)
+- Vision–Language Model fine-tuning
+- Prompt-based image classification
+- Zero-shot / few-shot VLM evaluation
+
+Compatible with models such as:
+- LLaVA
+- SmolVLM
+- Pixtral
+- Qwen-VL
+- BLIP-style models
+
+---
+
+## Source Dataset & Credits
+
+This dataset is **derived from the original BD3 (Building Defect Dataset)**.
+
+### Original Dataset
+- **Name**: BD3 – Building Defect Dataset
+- **Authors**: *{Kottari, Praveen and Arjunan, Pandarasamy}*
+- **Original Source**: *[https://github.com/Praveenkottari/BD3-Dataset]*
+
+### Credit Statement
+> This VQA dataset is a **reformatted version** of the original BD3 dataset.  
+> All image rights and original credit belong to the original authors.  
+> This version only changes the data format to support VQA-style learning.
+
+If you use this dataset, **please cite the original BD3 dataset and paper**.
+
+---
+
+## License
+
+This dataset follows the **same license as the original BD3 dataset**.  
+Please check the original source before using it for commercial purposes.
+
+---
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{bd3_building_defect,
+  title     = {BD3: Building Defect Dataset},
+  author    = {Kottari, Praveen and Arjunan, Pandarasamy},
+  year      = {2024},
+  url       = {https://github.com/Praveenkottari/BD3-Dataset)}
+}
+