diff --git a/README.md b/README.md
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+++ b/README.md
@@ -113,4 +113,4 @@ Ref: https://pytorch-lightning.readthedocs.io/en/stable/common/trainer.html
 - For multi-node benchmarking, we need to use "srun" command; also, the line "#SBATCH --ntasks-per-node=8" has to be added. Otherwise the process will hang.
 - Use as large batch_size as possible for a more stable benchmark result. For single node, use 256; for multi-node, use 128.  
 - Benchmarking with dim = 2, nodes = 1, gpus = 8, batch_size = 128, 256 takes ~2mins.  
-- Set path for enroot, see this [page](https://gitlab.liu.se/xuagu37/run-pytorch-and-tensorflow-containers-with-nvidia-enroot#set-path-to-user-container-storage).
+- Specify the paths for enroot cache and data, see this [page](https://gitlab.liu.se/xuagu37/run-pytorch-and-tensorflow-containers-with-nvidia-enroot#set-path-to-user-container-storage).