Update README.md

README.md

@@ -49,16 +49,6 @@ cat GenDS_part_* > GenDS.tar.gz
 tar -xzvf GenDS.tar.gz
 ```
 
-<!--Please follow these steps:
-git clone https://huggingface.co/datasets/Sudarshan2002/GenDS.git
-cd GenDS
-git lfs pull
-
-Once the dataset is dowloaded, unzip it by
-
-cat GenDS_part_* > GenDS.tar.gz
-tar -xzvf GenDS.tar.gz-->
-
 ## Dataset Structure
 
 The dataset includes:
@@ -70,8 +60,8 @@ Each JSON file contains a list of dictionaries with the following fields:
 
 ```json
 {
-  "image_path": "/path/to/image",
-  "target_path": "/path/to/ground_truth",
+  "image_path": "/relpath/to/image",
+  "target_path": "/relpath/to/ground_truth",
   "dataset": "Source dataset name",
   "degradation": "Original degradation type",
   "category": "real | synthetic",
@@ -80,8 +70,7 @@ Each JSON file contains a list of dictionaries with the following fields:
   "mu": "mu value used in GenDeg",
   "sigma": "sigma value used in GenDeg",
   "random_sampled": true | false,
-  "sampled_dataset": "Dataset name if mu/sigma are not random",
-  "check_tgt_path": "Not used"
+  "sampled_dataset": "Dataset name if mu/sigma are not random"
 }
 ```
 
@@ -97,21 +86,6 @@ with open("/path/to/train_gends.json") as f:
 print(train_data[0])
 ```
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-<!--Eveything required to use the dataset is present in the two .json files: train_gends.json and val_gends.json. train_gends,json contains the images for training and 
-val_gends.json contains images for validation. Load the train json file using:
-json.load(open("/path/to/train_gends.json"))
-
-The json file is a list of dictionaries such that each dictionary contains: 
-
-{
-'image_path': '/path/to/img', 
-'target_path': '/path/to/gt', 
-'dataset': Dataset from which image was taken, 'degradation': original degradation of the dataset, 'category': Dataset category (real or synthetic), 
-'degradation_sub_type': GenDeg generated degradadtion on the image ('Original' if it is from existing datasets), 'split': Train or Test, 
-'mu': value of mu used in GenDeg, 'sigma': value of sigma used in GenDeg, 'random_sampled': whether mu, sigma were randomly sampled, 
-'sampled_dataset': If not randomly sampled, mu sigma taken from this dataset, 'check_tgt_path': not used
-}-->
 
 ## Citation