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+# About Dataset
+
+## Context
+COVID-19 (coronavirus disease 2019) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a strain of coronavirus. The first cases were seen in Wuhan, China, in late December 2019 before spreading globally. The current outbreak was officially recognized as a pandemic by the World Health Organization (WHO) on 11 March 2020.
+
+Currently, Reverse Transcription Polymerase Chain Reaction (RT-PCR) is used for diagnosis of COVID-19. However, X-ray machines are widely available and provide images for diagnosis quickly. Therefore, chest X-ray images can be very useful in early diagnosis of COVID-19.
+
+---
+
+## Content
+- Dataset is organized into **2 folders**: `train`, `test`
+- Both `train` and `test` contain **3 subfolders**:
+  - `COVID19`
+  - `PNEUMONIA`
+  - `NORMAL`
+- Dataset contains a total of **6432 X-ray images**
+- The test data includes **20%** of the total images
+
+---
+
+## Acknowledgements
+Images are collected from various publicly available resources.  
+If you use the data for research, please give credit to the original authors.
+
+**Sources:**
+- https://github.com/ieee8023/covid-chestxray-dataset  
+- [Chest X-ray Pneumonia (Kaggle)](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia)  
+- https://github.com/agchung
+
+---
+
+## Inspiration
+Application of Artificial Intelligence (AI) techniques with radiological images for COVID-19 diagnosis.