Update README.md

README.md

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 # NDC-classes
 
-Some basic statistics of this dataset are:
-
-- Number of nodes 1,161
-- Number of hyperedges 1,222
-- Number of connected components 183
-  - Largest Connected Component Ratio 0.540913006029285
-
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+The hypergraph is stored in HIF (Hypergraph Interchange Format) as a JSON object, following the schema used to exchange higher-order network data across tools. Concretely, the dataset provides the canonical HIF fields-network-type, metadata, nodes, edges, and incidences-so you can reconstruct the full incidence structure without additional processing.
+
+In addition to the raw hypergraph topology, vector features are provided for both nodes and hyperedges (in their attribute dictionaries), enabling out-of-the-box experimentation with representation learning and downstream tasks:
+- Spectral features: eigenvectors of the (hypergraph) Laplacian (computed via sparse eigensolvers).
+- Node2Vec embeddings: random-walk–based structural embeddings.
+- VilLain embeddings: self-supervised hypergraph representation learning via virtual label propagation.
+
+Basic statistics (as packaged here): 1,161 nodes, 1,222 hyperedges, 183 connected component (Largest Connected Component Ratio 0.540913006029285).
+
 ```
 @article{Benson-2018-simplicial,
  author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon},