Upload README.md

README.md

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 # 🌊 TIDES: Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics
 
 - **Paper:** Coming soon
-- **Website:** Coming soon
-- **Contact:** [heechan@kaist.ac.kr](mailto:heechan@kaist.ac.kr),
+- **Website:** https://tides.cstlab.org
+- **Contact:** Heechan Lee [hclee99@kaist.ac.kr](mailto:heechan@kaist.ac.kr), Jeonggyu Kang [jeonggyumarkk@kaist.ac.kr](mailto:jeonggyumarkk@kaist.ac.kr), Joseph Seering [seering@kaist.ac.kr](mailto:seering@kaist.ac.kr)
 
 🌊 TIDES is an **in-the-wild**, **longitudinal**, **multi-party** collaboration dialogue dataset collected by tracking Korean university student teams over the course of a semester. TIDES includes transcripts and chat logs from meetings conducted by participants as they worked on real course projects throughout the semester, along with satisfaction surveys. Rather than simply providing raw dialogue, we offer **emergent role, utterance type, and team development** annotation layers to capture **the development of social dynamics** in multi-party collaboration settings.
 
@@ -217,4 +217,4 @@ Asynchronous team messaging exports (KakaoTalk-style), with participant names re
 
 ## Citation
 
-Add citation / license / paper link here before publishing to Hugging Face.
+Add citation / license / paper link here before publishing to arXiv.