From 563914211912abb305303d8a664757c3f6863d70 Mon Sep 17 00:00:00 2001
From: HuiTang <42053362+huitangtang@users.noreply.github.com>
Date: Sun, 12 Mar 2023 19:41:01 +0800
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index de8e8d0..b9e758b 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@ Code release for "A New Benchmark: On the Utility of Synthetic Data with Blender
 
 ## Data preparation
 1. Existing datasets. The references of the used existing datasets (e.g., VisDA-2017, ImageNet, and MetaShift) are included in the paper.
-2. Our new datasets. SynSL is here, our synthesized 12.8M images of 10 classes (for supervised learning, termed SynSL); SynSL-120K is [here](https://pan.baidu.com/s/10rbAZYQfST1ZhndjOpbDuQ?pwd=av1k), including our synthesized 120K images of 10 classes (train), train+SubImageNet, and three types of test data (i.e., test_IID, test_IID_wo_BG, and test_OOD); S2RDA is [here](https://pan.baidu.com/s/17C5lRDf7cpGR1kAVS2jS-Q?pwd=61tt), including two challenging transfer tasks of S2RDA-49 and S2RDA-MS-39.
+2. Our new datasets. SynSL is here, our synthesized 12.8M images of 10 classes (for supervised learning, termed SynSL); SynSL-120K is [here](https://pan.baidu.com/s/10rbAZYQfST1ZhndjOpbDuQ?pwd=av1k), including our synthesized 120K images of 10 classes (train), train+SubImageNet, and three types of test data (i.e., test_IID, test_IID_wo_BG, and test_OOD); S2RDA is [here](https://pan.baidu.com/s/17C5lRDf7cpGR1kAVS2jS-Q?pwd=61tt), including two challenging transfer tasks of S2RDA-49 and S2RDA-MS-39. Please refer to the paper for more details. 
 
 ## Model training
 1. Install necessary python packages.