Upload README.md

README.md

@@ -1,5 +1,25 @@
+---
+pretty_name: TIDES
+language:
+- ko
+- en
+task_categories:
+- text-classification
+tags:
+- dialogue
+- multi-party
+- longitudinal
+- collaboration
+- social-dynamics
+- utterance-classification
+---
+
 # 🌊 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),
+
 🌊 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.
 
 Speakers are anonymized (`PERSON_A`, `PERSON_B`, …). The corpus includes seven primarily Korean-speaking teams (`Team_1`, `Team_2`, `Team_3`, `Team_6`, `Team_7`, `Team_9`, and `Team_10`) and five primarily English-speaking teams (`Team_4`, `Team_5`, `Team_8`, `Team_11`, and `Team_12`). All transcripts provide English text (Some participants speak in Korean seldomly!); Korean-source teams additionally include the original utterances in `korean_text`.
@@ -19,7 +39,7 @@ Speakers are anonymized (`PERSON_A`, `PERSON_B`, …). The corpus includes seven
 ## Directory layout
 
 ```
-TIDES_final_July/
+TIDES/
 ├── README.md
 ├── metadata/
 │   ├── meeting_metadata.json      # per-team project blurb, meeting topics, speaker map