diff --git a/README.md b/README.md
index 4b674dd552dd6feb59080836d4eff871bceb220c..e53c14bf028eae5e6e72a693da8ebb6bcab19c8f 100644
--- a/README.md
+++ b/README.md
@@ -53,10 +53,6 @@ sicom_image_analysis_project/
     └─template/                # Template of your project (to be copied)
 ~~~
 
-Copy `src/methods/template` and rename it with your name. You are expected to write your own code in new files inside `src/methods/your_name`, and call them in the `src/methods/your_name/reconstruct.py` file. You are **not allowed to modify any file outside of `src/methods/your_name`** apart from `main.ipynb`, see instructions bellow.
-
-Please have a look in `src/methods/baseline`, your projet should work in the same way.
-
 ## 6. Instructions:
 
 Each student will fork this Git repository on its own account. You will then work in your own version of this repository.
@@ -71,16 +67,17 @@ The code and the report must be **written in English**.
 
 Your report **must be a pdf file** written in English and should not be longer than 5 pages. In this file you are asked to explain:
 
-1. The problem statement, show us that you've understood the project.
-2. The solution that you've chosen, explaining the theory.
-3. With tools that **you've built** show us that your solution is relevant and working
-4. Results, give us your results of the images `img_1`, `img_2`, `img_3`, `img_4`.
-5. Conclusion, take a step back about your results. What can be improved?
+- The problem statement, show us that you've understood the project.
+- The solution that you've chosen, explaining the theory.
+- With tools that **you've built** show us that your solution is relevant and working
+- Results, give us your results of the images `img_1`, `img_2`, `img_3`, `img_4`.
+- Conclusion, take a step back about your results. What can be improved?
 
 ### 6.2. The code:
 
 - You should first **copy** the folder `src/methods/template` and rename it with your name. It is in this folder that you will work, **nothing else should be modified** apart from `main.ipynb` for experimenting with the code.
 - You will add as many files you want in this folder but the only interface to run your code is `run_reconstruction` in `src/methods/your_name`. You can modify this function as you please, as long as it takes in argument the image to reconstruct (`y`), the name of the CFA (`cfa`) and returns a demosaicked image.
+- Have a look in `src/methods/baseline`, your projet should work in the same way.
 - You can use all the functions defined in the project, even the ones that you should not modify (`utils.py`, `forward_model.py`, etc).
 - Your code must be operational through `run_reconstruction`, as we will test it on new and private images.
 - The notebook provides a working bench. It should **not be included in the merge request**, it is just a work document for you.