Update README.md

README.md

@@ -45,6 +45,8 @@ This dataset distinguishes between different types of targets:
 
 *IMPORTANT NOTE:* this dataset has been used to train a machine learning model, and **is not a list of all climate targets published by national governments**.
 
+For more information on dataset creation, [see our paper](https://arxiv.org/abs/2404.02822).
+
 ## Dataset Description
 
 This dataset includes 2,610 text passages containing 1,193 target mentions annotated in a multilabel setting: one text passage can be assigned to 0 or more target types. This breaks down as follows.
@@ -70,14 +72,23 @@ Please read our [Terms of Use](https://app.climatepolicyradar.org/terms-of-use),
 
 ## Links
 
-<!-- Provide the basic links for the dataset. -->
 
-- **Repository:** [coming soon]
-- **Paper** [coming soon]
+- [Paper](https://arxiv.org/abs/2404.02822)
 
 ## Citation
 
-[Coming soon]
+*Juhasz, M., Marchand, T., Melwani, R., Dutia, K., Goodenough, S., Pim, H., & Franks, H. (2024). Identifying Climate Targets in National Laws and Policies using Machine Learning. arXiv preprint arXiv:2404.02822.*
+
+```
+@misc{juhasz2024identifying,
+      title={Identifying Climate Targets in National Laws and Policies using Machine Learning}, 
+      author={Matyas Juhasz and Tina Marchand and Roshan Melwani and Kalyan Dutia and Sarah Goodenough and Harrison Pim and Henry Franks},
+      year={2024},
+      eprint={2404.02822},
+      archivePrefix={arXiv},
+      primaryClass={cs.CY}
+}
+```
 
 
 ## Authors & Contact