Fix incorrect dataset name, add new datasets to results delta script

results/README.md

@@ -34,7 +34,7 @@ An ImageNet test set of 10,000 images sampled from new images roughly 10 years a
 
 A collection of 7500 images covering 200 of the 1000 ImageNet classes. Images are naturally occuring adversarial examples that confuse typical ImageNet classifiers. This is a challenging dataset, your typical ResNet-50 will score 0% top-1.
 
-### ImageNet-Robustness - [`results-imagenet-r.csv`](results-imagenet-r.csv)
+### ImageNet-Rendition - [`results-imagenet-r.csv`](results-imagenet-r.csv)
 
 * Source: https://github.com/hendrycks/imagenet-r
 * Paper: "The Many Faces of Robustness" - https://arxiv.org/abs/2006.16241

results/generate_csv_results.py

@@ -2,12 +2,15 @@ import numpy as np
 import pandas as pd
 
 results = {
-    'results-imagenet.csv'                    : pd.read_csv('results-imagenet.csv'), 
+    'results-imagenet.csv': pd.read_csv('results-imagenet.csv'),
     'results-imagenetv2-matched-frequency.csv': pd.read_csv('results-imagenetv2-matched-frequency.csv'),
-    'results-sketch.csv'                      : pd.read_csv('results-sketch.csv'),
-    'results-imagenet-a.csv'                  : pd.read_csv('results-imagenet-a.csv'),
+    'results-sketch.csv': pd.read_csv('results-sketch.csv'),
+    'results-imagenet-a.csv': pd.read_csv('results-imagenet-a.csv'),
+    'results-imagenet-r.csv': pd.read_csv('results-imagenet-r.csv'),
+    'results-imagenet-real.csv': pd.read_csv('results-imagenet-real.csv'),
 }
 
+
 def diff(csv_file):    
     base_models = results['results-imagenet.csv']['model'].values
     csv_models  = results[csv_file]['model'].values
@@ -48,5 +51,7 @@ def diff(csv_file):
 
     results[csv_file].to_csv(csv_file, index=False, float_format='%.3f')
 
+
 for csv_file in results:
-    if csv_file != 'results-imagenet.csv': diff(csv_file)
+    if csv_file != 'results-imagenet.csv':
+        diff(csv_file)