diff --git a/README.md b/README.md
index 01e698d..b999243 100644
--- a/README.md
+++ b/README.md
@@ -235,7 +235,7 @@ In the current version, this process takes about 7h on our reference machine con
 python full_eval.py -o <directory with pretrained models> --skip_training -m360 <mipnerf360 folder> -tat <tanks and temples folder> -db <deep blending folder>
 ```
 
-If you want to do compute the metrics on our paper's [evaluation images](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/evaluation/images.zip), you can also skip rendering. In this case it is not necessary to provide the source datasets. You can compute metrics for multiple image sets at a time. 
+If you want to compute the metrics on our paper's [evaluation images](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/evaluation/images.zip), you can also skip rendering. In this case it is not necessary to provide the source datasets. You can compute metrics for multiple image sets at a time. 
 ```shell
 python full_eval.py -m <directory with evaluation images>/garden ... --skip_training --skip_rendering
 ```