Update README.md

README.md

@@ -1,3 +1,38 @@
 ---
 license: mit
+task_categories:
+- graph-ml
+- image-classification
+pretty_name: DeepNets
+size_categories:
+- 1M<n<10M
 ---
+
+This is a copy of the **DeepNets-1M** dataset originally released at https://github.com/facebookresearch/ppuda under the MIT license.
+
+The dataset presents diverse computational graphs (1M training and 1402 evaluation) of neural network architectures used in image classification.
+See detailed description at https://paperswithcode.com/dataset/deepnets-1m and 
+in the [Parameter Prediction for Unseen Deep Architectures](https://arxiv.org/abs/2110.13100) paper.
+
+
+There are four files in this dataset:
+- deepnets1m_eval.hdf5;    # 16 MB (md5: 1f5641329271583ad068f43e1521517e)
+- deepnets1m_meta.tar.gz;  # 35 MB (md5: a42b6f513da6bbe493fc16a30d6d4e3e), run `tar -xf deepnets1m_meta.tar.gz` to unpack it before running any code reading the dataset
+- deepnets1m_search.hdf5;  # 1.3 GB (md5: 0a93f4b4e3b729ea71eb383f78ea9b53)
+- deepnets1m_train.hdf5;   # 10.3 GB (md5: 90bbe84bb1da0d76cdc06d5ff84fa23d)
+
+
+<img src="https://production-media.paperswithcode.com/datasets/0dbd44d8-19d9-495d-918a-b0db80facaf3.png" alt="" width="600"/>
+
+## Citation
+
+If you use this dataset, please cite it as:
+
+```
+@inproceedings{knyazev2021parameter,
+  title={Parameter Prediction for Unseen Deep Architectures},
+  author={Knyazev, Boris and Drozdzal, Michal and Taylor, Graham W and Romero-Soriano, Adriana},
+  booktitle={Advances in Neural Information Processing Systems},
+  year={2021}  
+}
+```