Update README.md

README.md

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 <!-- Provide a quick summary of the dataset. -->
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+CoMPAS3D (Complex Multi-Level Person-Interaction Annotated Salsa Dataset) is a large-scale motion capture dataset designed to support research on nonverbal, physical communication through dance. It contains over 3 hours of improvised salsa duet performances by 18 dancers across beginner, intermediate, and professional skill levels. Each sequence features high-fidelity 3D motion data in the form of SMPL-X (.npz) files, along with video visualizations and synchronized audio (.mp4). We provide detailed frame-level annotations of move types, stylistic variation, and execution errors for 50% of the sequences (.txt).
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+Collected in a controlled studio using a 20-camera Vicon system at 120fps, the dataset includes 72 long-form sequences (each 2.5 minutes) of naturalistic leader-follower interaction. Participants were drawn from diverse dance backgrounds, and all provided informed consent for data release. CoMPAS3D offers a rich testbed for studying embodied dialogue, social fluency, and multi-agent coordination in AI and robotics.
 
 ## Dataset Details
 
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 <!-- Provide a longer summary of what this dataset is. -->
 
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-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+- **Curated by:** [Rosie Lab](www.rosielab.ca), Simon Fraser University
+- **Language(s):** English
+- **License:** CC-BY-NC-4.0, except for audio in .mp4 files where rights retained by owners
 
 ### Dataset Sources [optional]
 
 <!-- Provide the basic links for the dataset. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Repository:** https://github.com/rosielab/compas3d
+- **Paper:** Coming soon!
+- **Demo:** Coming soon!
 
 ## Uses
 
 <!-- Address questions around how the dataset is intended to be used. -->
 
+This dataset was created to encourage research in socially interactive embodied AI and creative, expressive humanoid motion generation. As salsa contains a move vocabulary and implict grammar rules, we propose tasks that mirror those in spoken language processing:
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+- Solo Motion Segmentation, Classification, Transcription (Automatic Speech Recognition)
+- Solo Motion Generation (Speech Synthesis)
+- Follower Motion Generation (Listener Speech Synthesis)
+- Pair Motion Generation and Analysis (Conversation Synthesis)
+- Style Transfer (Proficiency Adaptation)
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 ### Direct Use
 
 <!-- This section describes suitable use cases for the dataset. -->
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 <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
 
-[More Information Needed]
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 ## Dataset Structure
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->