Update README.md

README.md

@@ -121,7 +121,7 @@ task_categories:
 
 <img src="https://data.matsworld.io/ucbresearch/deepaction.gif" style="width: 100%">
 
-The DeepAction dataset contains over 3,000 videos generated by six text-to-video AI models, along with real videos matched in terms of the action depicted. These videos show people performing ordinary actions such as walking, running, and cooking. The AI models used to generate these videos include, in alphabetic order, AnimateDiff, CogVideoX5B, Pexels, RunwayML, StableDiffusion, Veo (pre-release version), and VideoPoet. Refer to our <a href=''>our pre-print</a> for details.
+The DeepAction dataset contains over 3,000 videos generated by six text-to-video AI models, along with real videos matched in terms of the action depicted. These videos show people performing ordinary actions such as walking, running, and cooking. The AI models used to generate these videos include, in alphabetic order, AnimateDiff, CogVideoX5B, Pexels, RunwayML, StableDiffusion, Veo (pre-release version), and VideoPoet. Refer to our <a href='https://arxiv.org/abs/2412.00526'>our pre-print</a> for details.
 
 <br>
 
@@ -195,7 +195,15 @@ The AI-generated videos (BDAnimateDiffLightning, CogVideoX5B, RunwayML, StableDi
 Please use the following citation when referring to this dataset:
 
 ```bib
-TBD
+@misc{bohacek2024human,
+      title={Human Action CLIPS: Detecting AI-generated Human Motion}, 
+      author={Matyas Bohacek and Hany Farid},
+      year={2024},
+      eprint={2412.00526},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2412.00526}, 
+}
 ```
 
 This work was done during the first author's (Matyas Bohacek) internship at Google.