# 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](https://github.com/credi-net/CrediPred).
- 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](https://github.com/credi-net/CrediGraph).


- **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 

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- **Repositories:** see [GitHub - CrediNet Org](https://github.com/credi-net) 
- **CrediBench Pre-Print:** https://arxiv.org/abs/2509.23340

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