Add update to eval code.

README.md

@@ -75,8 +75,8 @@ from super_image.data import EvalDataset, EvalMetrics
 
 dataset = load_dataset('eugenesiow/Div2k', 'bicubic_x2', split='validation')
 eval_dataset = EvalDataset(dataset)
-model = EdsrModel.from_pretrained(input_dir, scale=scale)
-EvalMetrics.evaluate(model, eval_dataset)
+model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2)
+EvalMetrics().evaluate(model, eval_dataset)
 ```
 
 ### Supported Tasks and Leaderboards
@@ -91,7 +91,7 @@ Unofficial [`super-image`](https://github.com/eugenesiow/super-image) leaderboar
 
 ### Languages
 
-[More Information Needed]
+Not applicable.
 
 ## Dataset Structure
 
@@ -132,7 +132,7 @@ The data fields are the same among all splits.
 
 ### Curation Rationale
 
-[More Information Needed]
+Please refer to the [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) section.
 
 ### Source Data