Skip to main content
zenodoopen

kaggle-whats-cooking

<h3><strong>Overview</strong></h3><p>Hypergraph where nodes are food ingredients, hyperedges are recipes made from combining multiple ingredients, and categories indicate cuisine (e.g., "Southern-US", "Indian", "Spanish"). &nbsp;Some summary statistics of the hypergraph are:</p><ul><li>Number of nodes: 6,714</li><li>Number of hyperedges: 39,774</li><li>Number of edge label categories: 20</li><li>Maximum hyperedge size: 65</li></ul><h4><strong>Source of original data</strong></h4><p>Sources:</p><ul><li><a href="https://drive.google.com/open?id=16BTDEv3AC9l81FeU2US5nG30_CGsRTqk">cat-edge-Cooking.zip</a></li><li><a href="https://www.kaggle.com/c/whats-cooking">"What's Cooking?" Kaggle competition</a></li><li><a href="https://www.yummly.com/">Yummly</a></li></ul><h4><strong>References</strong></h4><p>If you use this data, please cite the following paper:</p><ul><li><a href="https://doi.org/10.1145/3366423.3380152">Clustering in graphs and hypergraphs with categorical edge labels</a>. Ilya Amburg, Nate Veldt, and Austin R. Benson. Proceedings of the Web Conference (WWW), 2020.</li></ul>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4