diff --git a/examples/vl_datasets/README.md b/examples/vl_datasets/README.md
new file mode 100644
index 00000000..87bb9720
--- /dev/null
+++ b/examples/vl_datasets/README.md
@@ -0,0 +1,24 @@
+# Introduction
+
+When training the LLava-one-vision model with FlagScale, the original LLava-one-vision dataset needs to be converted to WebDataset format. This tool primarily reuses the data shuffling functionality in the original [LLava-one-vision](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/llava/train/train.py) training trainer, while saving the data in WebDataset format on each rank.
+
+# Usage
+
+## Preparation
+
+1. Download https://github.com/LLaVA-VL/LLaVA-NeXT into Path_Of_LLaVA-NeXT.
+2. Download google/siglip-so400m-patch14-384 into VISION_MODEL_PATH.
+3. Write a hostfile with one IP per line, like the example below:
+```
+1.2.3.4 slots=8
+1.2.3.5 slots=8
+```
+4. Prepare a dataset input compatible with the LLava-one-vision library, like next_ov_stage_july21.yaml.
+
+## Example
+```
+  DATA_PATH=next_ov_stage_july21.yaml
+  EXPNAME_PATH=*PathOfOutputWebDatasets*
+  HOSTFILE=hostfile
+  bash make_llava_ov_wds.sh $DATA_PATH $EXPNAME_PATH $HOSTFILE
+```