diff --git a/recognition/Partial-FC/README.md b/recognition/Partial-FC/README.md
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--- a/recognition/Partial-FC/README.md
+++ b/recognition/Partial-FC/README.md
@@ -5,5 +5,24 @@ and can train more identities.
 
 ![Image text](https://github.com/nttstar/insightface-resources/blob/master/images/partial_speed1.png)
 
+## Celeb-DeepGlint
+We clean, merge, and release the **largest** and **cleanest** face recognition dataset **Celeb-DeepGlint**. 
+Baseline models trained on Celeb-DeepGlint with our proposed training strategy can easily achieve state-of-the-art. 
+The released dataset contains 18 million images of 360K individuals. The performance of **Celeb-DeepGlint** eval on large-scale 
+test set IJBC and megaface are as follows:
+
+### IJBC and Megaface
+Our backbone is ResNet100, we set feature scale s to 64 and cosine margin m of CosFace at 0.4.
+|Test Dataset    | IJBC(TAR@FAR=1e-4) | Megaface(Identification) | Megaface(TAR@FAR=1e-6) |
+| :---           | :---:              | :---:                    | :---:                  |
+| MS1MV2         | 96.4               | 98.3                     | 98.6                   |
+|Celeb-DeepGlint | **97.3**           | **99.1**                 | **99.1**               |
+
+### IFRT
+Comming soon.
+
+## Performance
+Comming soon.
+
 ## Citation
 Coming soon.
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