# Terms of use:

The dataset is available free for research purposes. Cite the paper associated with the dataset: 

    What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study. Mohamed Abdalla, Krishnapriya Vishnubhotla, and Saif M. Mohammad. EACL, 2023, Dubrovnik, Croatia. 

If interested in commercial use of the dataset, send email to Saif M. Mohammad (Senior Research Officer at NRC and creator of these lexicons): saif.mohammad@nrc-cnrc.gc.ca and Pierre Charron (Client Relationship Leader at NRC): Pierre.Charron@nrc-cnrc.gc.ca. A nominal one-time licensing fee may apply.

Do not redistribute the dataset. Direct interested parties to these pages: 
    
    10.5281/zenodo.7599667
    or 
    https://github.com/Priya22/semantic-textual-relatedness/

Direct any queries about the dataset to: 
- [Mohamed Abdalla](https://www.cs.toronto.edu/~msa/) (University of Toronto)
- [Krishnapriya Vishnubhotla](https://priya22.github.io/) (University of Toronto)
- [Saif M. Mohammad](http://saifmohammad.com/) (National Research Council Canada)

**Contact**: msa@cs.toronto.edu, vkpriya@cs.toronto.edu, saif.mohammad@nrc-cnrc.gc.ca

National Research Council Canada (NRC) disclaims any responsibility for the use of the data and does not provide technical support. However, the contacts listed above will be happy to respond to queries and clarifications.