diff --git a/docs/installation.md b/docs/installation.md
index e17d0ef..bf7c711 100644
--- a/docs/installation.md
+++ b/docs/installation.md
@@ -82,7 +82,7 @@ export PATH="/path/to/vbench:$PATH"
 You need to install VBench mannually by:
 ```bash
 # first clone their repo
-cd ..
+cd .. # assume you are in the Open-Sora root folder, you may install at other location but make sure the soft link paths later are correct
 git clone https://github.com/Vchitect/VBench.git
 cd VBench
 git checkout v0.1.2
@@ -92,10 +92,10 @@ vim vbench2_beta_i2v/utils.py
 # find `image_root` in the `load_i2v_dimension_info` function, change it to point to your appropriate image folder
 
 # last, create softlinks
-cd Open-Sora # or `cd Open-Sora-dev` for development
-ln -s ../VBench/vbench vbench
-ln -s ../VBench/vbench2_beta_i2v vbench2_beta_i2v
-# later you need to make sure to call evaluatio from your Open-Sora folder, else vbench, vbench2_beta_i2v cannot be found
+cd ../Open-Sora # or `cd ../Open-Sora-dev` for development
+ln -s ../VBench/vbench vbench # you may need to change ../VBench/vbench to your corresponding path
+ln -s ../VBench/vbench2_beta_i2v vbench2_beta_i2v # you may need to change ../VBench/vbench_beta_i2v to your corresponding path
+# later you need to make sure to run evaluation from your Open-Sora folder, else vbench, vbench2_beta_i2v cannot be found
 ```
 
 
diff --git a/eval/README.md b/eval/README.md
index 9bc70d0..7ae6e32 100644
--- a/eval/README.md
+++ b/eval/README.md
@@ -46,9 +46,9 @@ python eval/loss/tabulate_rl_loss.py --log_dir path/to/log/dir
 First, generate the relevant videos with the following commands:
 
 ```bash
-# vbench tasks (4a 4b 4c ...)
-bash eval/sample.sh /path/to/ckpt num_frames model_name_for_log  -4a
-# launch 8 jobs at once (you must read the script to understand the details)
+# vbench task, if evaluation all set start_index to 0, end_index to 2000
+bash eval/sample.sh /path/to/ckpt num_frames model_name_for_log  -4 start_index end_index
+# Alternatively, launch 8 jobs at once (you must read the script to understand the details)
 bash eval/vbench/launch.sh /path/to/ckpt num_frames model_name
 ```
 
@@ -70,13 +70,13 @@ python eval/vbench/tabulate_vbench_scores.py --score_dir path/to/score/dir
 ## VBench-i2v
 
 [VBench-i2v](https://github.com/Vchitect/VBench/tree/master/vbench2_beta_i2v) is a benchmark for short image to video generation (beta version).
-
+Similarly, install the VBench package following our [installation](../docs/installation.md)'s sections of "Evaluation Dependencies".
 
 ```bash
 # Step 1: generate the relevant videos
-# vbench i2v tasks (5a 5b 5c ...)
-bash eval/sample.sh /path/to/ckpt num_frames model_name_for_log -5a
-# launch 8 jobs at once
+# vbench i2v tasks, if evaluation all set start_index to 0, end_index to 2000
+bash eval/sample.sh /path/to/ckpt num_frames model_name_for_log -5 start_index end_index
+# Alternatively, launch 8 jobs at once
 bash eval/vbench_i2v/launch.sh /path/to/ckpt num_frames model_name
 
 # Step 2: run vbench to evaluate the generated samples