Update Model Card with missing dataset metadata

README.md

@@ -1,3 +1,31 @@
+---
+license: cc-by-4.0
+language:
+- en
+pretty_name: LAION-Face
+size_categories:
+- 10M<n<100M
+tags:
+- image-text  
+- faces  
+- face detection  
+- vision-language  
+- large-scale  
+- web-scraped  
+- facial representation learning  
+- pretraining  
+- huggingscience
+- science
+task_categories:
+- image-text-to-text
+- image-feature-extraction
+modality:
+- image  
+- text  
+
+dataset_creator: FacePerceiver  
+source: LAION-400M  
+---
 # Laion-Face
 
 [LAION-Face](https://github.com/FacePerceiver/LAION-Face) is the human face subset of [LAION-400M](https://laion.ai/laion-400-open-dataset/), it consists of 50 million image-text pairs. Face detection is conducted to find images with faces. Apart from the 50 million full-set(LAION-Face 50M), there is a 20 million sub-set(LAION-Face 20M) for fast evaluation. 
@@ -33,5 +61,14 @@ Please be patient, this command might run over days, and cost about 2T disk spac
 
 checkout `download.sh` and [img2dataset](https://github.com/rom1504/img2dataset) for more details and parameter setting.
 
-
-
+### Citation
+Please cite:
+```
+@inproceedings{zheng2022general,
+  title={General facial representation learning in a visual-linguistic manner},
+  author={Zheng, Yinglin and Yang, Hao and Zhang, Ting and Bao, Jianmin and Chen, Dongdong and Huang, Yangyu and Yuan, Lu and Chen, Dong and Zeng, Ming and Wen, Fang},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+  pages={18697--18709},
+  year={2022}
+}
+```