docs: update dataset card

README.md

@@ -1,3 +1,56 @@
 ---
+size_categories:
+- 1K<n<10K
+task_categories:
+- graph-ml
+tags:
+- art
 license: cc
 ---
+
+## Dataset Information
+
+| # Nodes | # Edges | # Features |
+|:-------:|:-------:|:----------:|
+|  5,201  | 217,073 |    2,089   |
+
+## Usage
+
+```python
+from huggingface_hub import hf_hub_download
+
+hf_hub_download(repo_id="SauravMaheshkar/Squirrel", filename="processed/squirrel.bin", local_dir="./data/", repo_type="dataset")
+
+dataset, _ = dgl.load_graphs("./data/processed/squirrel.bin")
+```
+
+Thank you [@severo](https://huggingface.co/severo) for helping me [figure out the usage](https://discuss.huggingface.co/t/can-i-use-a-pickle-file-with-the-data-files-argument-with-datasets/72189/2?u=sauravmaheshkar).
+
+## Citations
+
+```
+@article{ju2023multi,
+  title={Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization},
+  author={Ju, Mingxuan and Zhao, Tong and Wen, Qianlong and Yu, Wenhao and Shah, Neil and Ye, Yanfang and Zhang, Chuxu},
+  booktitle={International Conference on Learning Representations},
+  year={2023}
+}
+```
+
+```
+@article{DBLP:journals/corr/abs-1909-13021,
+  author       = {Benedek Rozemberczki and
+                  Carl Allen and
+                  Rik Sarkar},
+  title        = {Multi-scale Attributed Node Embedding},
+  journal      = {CoRR},
+  volume       = {abs/1909.13021},
+  year         = {2019},
+  url          = {http://arxiv.org/abs/1909.13021},
+  eprinttype    = {arXiv},
+  eprint       = {1909.13021},
+  timestamp    = {Wed, 02 Oct 2019 13:04:08 +0200},
+  biburl       = {https://dblp.org/rec/journals/corr/abs-1909-13021.bib},
+  bibsource    = {dblp computer science bibliography, https://dblp.org}
+}
+```