Update README.md

README.md

@@ -18,11 +18,6 @@ In these webgraphs, the nodes represent a website domain (e.g, `google.com`) and
 These webgraphs are supplemented with text attributes, partly from Common Crawl and from web scraping, as text features play an important role in misinformation detection. 
 Additionally, we supplement them with credibility scores as made available by [Lin et al.](https://github.com/hauselin/domain-quality-ratings/tree/main/data), to enable supervised and semi-supervised learning as explained in our paper. 
 
-- **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 Statistics: 
 | Month | V | E | Min. deg. | Mean deg. | Max. deg. | Leaves (deg. = 1) | Edge Density | 
@@ -111,6 +106,15 @@ which builds a month's worth of data by pulling from Common Crawl, builds the gr
 Each edge has a timestamp, given as the date of the first day of week of the crawl, in format YYYYMMDD.
 
 
+## Acknowledgements 
+
+- **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).
+
+
 ## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->