This is a repository of openly available hypergraph datasets in JSON format with documentation more extensively describing the datasets. They are hosted in the XGI Community on Zenodo and a table of statistics can be found on Read The Docs. This is loosely inspired by Datasheets for Datasets by Gebru et al. All datasets are stored in Hypergraph Interchange Format (HIF).
Currently available data sets are:
- a-blue-start
- arxiv-kaggle
- biochem-cocitations
- coauth-dblp
- coauth-mag-geology
- coauth-mag-history
- congress-bills
- contact-high-school
- contact-primary-school
- cs-cocitations
- dawn
- diseasome
- email-enron
- email-eu
- eventernote-events
- eventernote-places
- hospital-lyon
- house-bills
- house-committees
- hyperbard
- hypertext-conference
- invs13
- invs15
- kaggle-whats-cooking
- malawi-village
- math-cocitations
- ndc-classes
- ndc-substances
- neuro-cocitations
- physics-cocitations
- plant-pollinator-mpl-014
- plant-pollinator-mpl-015
- plant-pollinator-mpl-016
- plant-pollinator-mpl-021
- plant-pollinator-mpl-034
- plant-pollinator-mpl-044
- plant-pollinator-mpl-046
- plant-pollinator-mpl-049
- plant-pollinator-mpl-057
- plant-pollinator-mpl-062
- recipe-rec
- science-gallery
- senate-bills
- senate-committees
- sfhh-conference
- tags-ask-ubuntu
- tags-math-sx
- tags-stack-overflow
- threads-ask-ubuntu
- threads-math-sx
- threads-stack-overflow
These datasets can be loaded with xgi using the following lines:
import xgi
H = xgi.load_xgi_data("<dataset_name>")where <dataset_name> is chosen from the list above.
These datasets have been taken from the following sources:
index.json is a dictionary of the data sets that are currently available on xgi-data and the url where they are hosted.
The code folder contains the scripts used to convert hypergraph datasets into a more standard format and the JSON inspection script. This code can be adapted to convert data sets that are currently not part of xgi-data into xgi-data format.
The XGI-DATA package has been supported by NSF Grant 2121905, "HNDS-I: Using Hypergraphs to Study Spreading Processes in Complex Social Networks".