Update README.md

README.md

@@ -12,13 +12,8 @@
 
 This library provides an implementation of CSG, from CVPR 2019 paper: [Spectral Metric for Dataset Complexity Assessment](https://arxiv.org/abs/1905.07299).
 
-**Installation**
-
-`pip install spectral-metric`
-
-
-CSG is a measure which estimates the complexity of a dataset by combining probability product kernel (Jebara et al.) and
-Graph Theory. By doing so, one can estimate the complexity of their dataset without training a model.
+> [!NOTE]  
+> CSG is a measure that estimates the complexity of a dataset by combining probability product kernel (Jebara et al.) and Graph Theory. By doing so, one can estimate the complexity of their dataset without training a model.
 
 For the experiment part of the repo, please see [./experiments/README.md](./experiments/README.md)
 
@@ -27,7 +22,9 @@ For the experiment part of the repo, please see [./experiments/README.md](./expe
 1. [🤗 HuggingFace Space](https://huggingface.co/spaces/Dref360/spectral-metric)
 2. [In-depth analysis of CLINC-150](https://github.com/Dref360/spectral-metric/blob/master/notebooks/clinc_oos.ipynb)
 
-![](./images/example.png)
+**Installation**
+
+`pip install spectral-metric`
 
 ## How to use
 
@@ -48,9 +45,9 @@ estimator.evals, estimator.evecs  # The eigenvalues and vectors.
 make_graph(estimator.difference, title="Your dataset", classes=["A", "B", "C"])
 ```
 
-## Support
-
-For support, please submit an issue!
+<p align="center">
+<img src="./images/example.png" width="50%">
+</p>
 
 # Results
 
@@ -63,12 +60,16 @@ higher the values are, the harder the dataset is.
 **Note:** The actual CSG is based on the gradient of the eigenvalues,
 this is done to overcome issues where the first classes are easy to separate, but not the last ones.
 
-Please see the paper for more details.
+Please refer to the paper for more details.
+
+## Support
+
+For support, please submit an issue!
 
 
 # Contributing
 
-We are open to contributions, simply submit an issue or a pull request.
+We are open to contributions, please submit an issue or a pull request.
 
 To get yourself a running environment you will need [Poetry](https://python-poetry.org/), our package manager.