added numbers to the instructions

README.md

@@ -67,19 +67,19 @@ We have prepared a sample Fondant pipeline for downloading the dataset or part o
 To execute the pipeline locally, you must have [docker compose](https://docs.docker.com/compose/),
 [Python](https://python.org) >=3.8 and [Git](https://git-scm.com/) installed on your system.
 
-First install Fondant by running:
+1) Install Fondant by running:
 
 ```bash
 pip install fondant
 ```
 
-Then clone the [Fondant GitHub repository](https://github.com/ml6team/fondant)
+2) Clone the [Fondant GitHub repository](https://github.com/ml6team/fondant)
 
 ```bash
 git clone https://github.com/ml6team/fondant.git
 ```
 
-Then make sure that Docker Compose is running, navigate to `examples/pipelines/filter-cc-25m`, and initiate the pipeline by executing:
+3)Make sure that Docker Compose is running, navigate to `examples/pipelines/filter-cc-25m`, and initiate the pipeline by executing:
 
 ```bash
 fondant run pipeline --local
@@ -100,13 +100,13 @@ load_from_hf_hub = ComponentOp(
 )
 ```
 
-To visually inspect the results quickly, you can use:
+4) To visually inspect the results quickly, you can use:
 
 ```bash
 fondant explore --base_path ./data
 ```
 
-You can also choose to download images to your local machine if you prefer, we have provided an [example script](https://huggingface.co/datasets/fondant-ai/fondant-cc-25m/blob/main/extract_images.py)
+5) You can also choose to download images to your local machine if you prefer, we have provided an [example script](https://huggingface.co/datasets/fondant-ai/fondant-cc-25m/blob/main/extract_images.py)
 that enabled this: 
 
 To run the script, you can simply execute the following: