Update README.md

README.md

@@ -20,4 +20,54 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: apache-2.0
+task_categories:
+- image-classification
+language:
+- en
+pretty_name: 'RealFaces '
+size_categories:
+- 1K<n<10K
 ---
+
+<h1 align="center" style="color:#6C63FF; font-family:'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;">
+ UTKFace Demographics V1 Dataset
+</h1>
+
+---
+
+### About 
+
+The **UTKFace Demographics V1** dataset contains over **10,000+ facial images** labeled with:
+- **Age** (0 to 116 years)
+- **Gender** (0 = Male, 1 = Female)
+- **Race** (0 = White, 1 = Black, 2 = Asian, 3 = Indian, 4 = Others)
+
+All faces are aligned and cropped to 200x200 resolution, collected in uncontrolled conditions from the wild.
+
+📦 This version restructures the original UTKFace dataset for seamless **streaming, preview, and filtering** on the Hugging Face Hub.
+
+---
+
+### License
+This dataset is distributed for research and educational use only. Please cite the original paper if you use this data.
+
+More details and conditions: https://susanqq.github.io/UTKFace/
+
+### Citation
+
+```bibtex
+@inproceedings{zhifei2017cvpr,
+  title={Age Progression/Regression by Conditional Adversarial Autoencoder},
+  author={Zhang, Zhifei, Song, Yang, and Qi, Hairong},
+  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2017},
+  organization={IEEE}
+}
+```
+
+### Acknowledgements
+Original authors: **Zhifei Zhang**, **Yang Song**, and **Hairong Qi**
+Project page: [https://susanqq.github.io/UTKFace/](https://susanqq.github.io/UTKFace/)
+
+I've curated and restructured this version.