Dataset Card for CrediPred

CrediPred is the set of inferred scores developed by our graph-based models.

• For more details on our graph neural network (GNN)-based model architectures, refer to CrediPred - GitHub.
• These credibility scores can be used to augment fact-checking or general web retrieval pipelines, considering their current weakness in understanding which retrieved documents to weigh more than others.

Dataset Details

Dataset Description

The CrediPred dataset is the set of inferred credibility scores output by our trained GNN-based models. It follows the same time granularity -- monthly -- as the webgraphs we use to train these models. Scores are available for all nodes in the corresponding month's webgraph (for more information about our webgraps, refer to CrediGraph - GitHub.

• Curated by a team of collaborators from the Complex Data Lab @ Mila - Quebec AI Institute, the University of Oxford, McGill University, Concordia University, UC Berkeley, University of Montreal, and AITHYRA.
• Funding: This research was supported by the Engineering and Physical Sciences Research Council (EPSRC) and the AI Security Institute (AISI) grant: Towards Trustworthy AI Agents for Information Veracity and the EPSRC Turing AI World-Leading Research Fellowship No. EP/X040062/1 and EPSRC AI Hub No. EP/Y028872/1. This research was also enabled in part by compute resources provided by Mila (mila.quebec) and Compute Canada.
• License: CC-BY-4.0 (as retributed from Common Crawl).

Dataset Sources

• Repositories: see GitHub - CrediNet Org
• CrediBench Pre-Print: https://arxiv.org/abs/2509.23340