diff --git a/results/README.md b/results/README.md
index 40bb8682..6bb160d7 100644
--- a/results/README.md
+++ b/results/README.md
@@ -6,28 +6,28 @@ This folder contains validation results for the models in this collection having
 
 There are currently results for the ImageNet validation set and 3 additional test sets.
 
-### ImageNet Validation - [`results-imagenet.csv`](results/results-imagenet.csv)
+### ImageNet Validation - [`results-imagenet.csv`](results-imagenet.csv)
 
 * Source: http://image-net.org/challenges/LSVRC/2012/index
 * Paper: "ImageNet Large Scale Visual Recognition Challenge" - https://arxiv.org/abs/1409.0575
 
 The standard 50,000 image ImageNet-1k validation set. Model selection during training utilizes this validation set, so it is not a true test set.
 
-### ImageNetV2 Matched Frequency - [`results-imagenetv2-matched-frequency.csv`](results/results-imagenetv2-matched-frequency.csv)
+### ImageNetV2 Matched Frequency - [`results-imagenetv2-matched-frequency.csv`](results-imagenetv2-matched-frequency.csv)
 
 * Source: https://github.com/modestyachts/ImageNetV2
 * Paper: "Do ImageNet Classifiers Generalize to ImageNet?" - https://arxiv.org/abs/1902.10811
 
 An ImageNet test set of 10,000 images sampled from new images roughly 10 years after the original. Care was taken to replicate the original ImageNet curation/sampling process.
 
-### ImageNet-Sketch - [`results-sketch.csv`](results/results-imagenet-sketch.csv)
+### ImageNet-Sketch - [`results-sketch.csv`](results-imagenet-sketch.csv)
 
 * Source: https://github.com/HaohanWang/ImageNet-Sketch
 * Paper: "Learning Robust Global Representations by Penalizing Local Predictive Power" - https://arxiv.org/abs/1905.13549
 
 50,000 non photographic (or photos of such) images (sketches, doodles, mostly monochromatic) covering all 1000 ImageNet classes.
 
-### ImageNet-Adversarial - [`results-imagenet-a.csv`](results/results-imagenet-a.csv)
+### ImageNet-Adversarial - [`results-imagenet-a.csv`](results-imagenet-a.csv)
 
 * Source: https://github.com/hendrycks/natural-adv-examples
 * Paper: "Natural Adversarial Examples" - https://arxiv.org/abs/1907.07174