Update README.md

README.md

@@ -17,6 +17,24 @@ The FashionFail dataset, proposed in the paper ["FashionFail: Addressing Failure
 comprises 2,495 high-resolution images (2400x2400 pixels) of products found on e-commerce websites. The dataset is divided into training, validation, and test sets, consisting of 1,344, 150, and 1,001 images, respectively.
 
 
+### Download Dataset
+To address concerns regarding data regulations, we share only the URLs of the images, rather than sharing the image files directly.
+However, we provide a simple script to facilitate dataset construction. 
+The script initially retrieves annotation files from HuggingFace Datasets, then proceeds to download images using the URLs provided in those annotation files.
+
+First, install the repository with:
+```
+git clone https://github.com/rizavelioglu/fashionfail.git
+cd fashionfail
+pip install -e .
+```
+
+Then, execute the following script with:
+```
+python fashionfail/data/make_dataset.py \
+  --save_dir "dir/to/save" \  # [optional] default: "~/.cache/fashionfail/"
+```
+
 ### Annotation format
 
 We follow the annotation format of the [COCO dataset](https://cocodataset.org/#format-data). The annotations are stored in the [JSON format](http://www.json.org/) and are organized as follows: