Update README.md

README.md

@@ -6,17 +6,16 @@ license: mit
 
 ## Sample Generated Spectrograms
 
-![Sample Generated Spectrogram](https://raw.githubusercontent.com/nbahador/chirp_spectrogram_generator/main/Usage_Example/spectrogram_4.png)
-![Sample Generated Spectrograms](https://raw.githubusercontent.com/nbahador/chirp_spectrogram_generator/main/Usage_Example/Samples.jpg)
-
-<!-- Provide a quick summary of the dataset. -->
-This dataset contains synthetic chirp spectrograms with corresponding labels, generated for research in signal processing and machine learning applications. The dataset is particularly useful for developing and testing models for chirp signal detection and localization.
+<div style="display: flex; flex-wrap: wrap; gap: 10px; justify-content: center;">
+    <img src="https://raw.githubusercontent.com/nbahador/chirp_spectrogram_generator/main/Usage_Example/spectrogram_4.png" alt="Sample Spectrogram" width="45%" />
+    <img src="https://raw.githubusercontent.com/nbahador/chirp_spectrogram_generator/main/Usage_Example/Samples.jpg" alt="Multiple Spectrograms" width="45%" />
+</div>
 
 ## Dataset Details
 
 ### Dataset Description
 
-The dataset consists of synthetic spectrogram images representing chirp signals with varying parameters, along with their corresponding labels for machine learning applications.
+This dataset contains synthetic chirp spectrograms with corresponding labels, generated for research in signal processing and machine learning applications. The dataset is particularly useful for developing and testing models for chirp signal detection and localization.
 
 - **Curated by:** Nooshin Bahador
 - **Funded by:** Canadian Neuroanalytics Scholars Program
@@ -27,8 +26,7 @@ The dataset consists of synthetic spectrogram images representing chirp signals
 ### Dataset Sources
 
 - **Repository:** [GitHub Package](https://github.com/nbahador/chirp_spectrogram_generator/tree/main)
-- **Paper:** [arXiv Publication](https://arxiv.org/pdf/2503.22713)
-- **Demo:** Included in GitHub repository
+- **Paper:** [ArXiv Publication](https://arxiv.org/pdf/2503.22713)
 
 ## Dataset Structure
 
@@ -40,6 +38,7 @@ The dataset contains:
 #### Data Collection and Processing
 
 Data was synthetically generated using the provided Python package, with parameters randomly sampled from physiologically relevant ranges.
+- **Repository:** [GitHub Package](https://github.com/nbahador/chirp_spectrogram_generator/tree/main)
 
 #### Who are the source data producers?
 
@@ -57,7 +56,7 @@ The data was generated by the authors using their custom Python package.
       primaryClass={eess.AS}
 }
 
-**APA:**
+**ArXiv Publication:**
 [Bahador, N., & Lankarany, M. (2025). Chirp localization via fine-tuned transformer model: A proof-of-concept study. arXiv preprint arXiv:2503.22713.](https://arxiv.org/pdf/2503.22713)
 
 ## More Information