Cleanup documentation

Makefile

@@ -1,6 +1,6 @@
 .PHONY: prepare build clean
 
-all: prepare build
+all: prepare build clean
 
 prepare:
 	mkdir -p downloads
@@ -8,7 +8,4 @@ prepare:
 
 build:
 	mkdir -p shards
-	python scripts/build.py manifest.csv data shards
-
-clean:
-	rm -vr downloads shards
+	python scripts/build.py manifest.csv data shards

README.md

@@ -78,48 +78,31 @@ The remaining data should be downloaded from official sources using the provided
 
 ## Preparation
 
-0. Clone this dataset repository.
+1. Clone this dataset repository.
 ```bash
 git clone https://huggingface.co/datasets/khwstolle/csvps && cd csvps
 ```
 
-1. Install the [Cityscapes developer kit](https://github.com/mcordts/cityscapesScripts) using `pip`.
+2. Install the [Cityscapes developer kit](https://github.com/mcordts/cityscapesScripts) and build dependencies using `pip`.
 ```bash
 python -m pip install -r requirements.txt
 ```
 
-2. Run the preparation script provided in this repository. 
+3. Run the preparation script provided in this repository. 
    Note that this may prompt your [Cityscapes account](https://cityscapes-dataset.com/login/) login credentials.
 ```bash
 make prepare
 ```
 
-3. Remove the downloaded Cityscapes archive files to save disk space (optional).
-```bash
-make clean
-```
-
-## Usage
-
-To convert the `train`, `val` and `test` directories into a `tar` archive, run the following command:
+4. To convert the `train`, `val` and `test` directories into a `tar` archive for use with [WebDataset](https://github.com/webdataset/webdataset), run the following command:
 
 ```bash
-make webdataset
-```
-
-Subsequently, the dataset can be loaded using the `webdataset` library:
-
-```python
-import webdataset as wds
-
-dataset = wds.WebDataset("shards/csvps-train.tar")
+make build 
 ```
 
+## Usage
 
-## License
-
-Please refer to the Cityscapes license for more details.
-
+See `examples.ipynb` for instructions.
 
 ## Citation