Update README.md

README.md

@@ -1,45 +1,48 @@
 ---
 license: cc-by-4.0
 task_categories:
-  - text-generation
-  - text-classification
+- video-text-to-text
+- visual-question-answering
 language:
-  - en
+- en
 pretty_name: DigitalCoach
 size_categories:
-  - 10K<n<100K
+- 10K<n<100K
 configs:
-  - config_name: dialogue_turns
-    data_files:
-      - path: "**/turns.json"
-        split: train
-  - config_name: session_metadata
-    data_files:
-      - path: "**/meta.json"
-        split: train
-  - config_name: file_snapshots
-    data_files:
-      - path: "**/files/*.json"
-        split: train
-  - config_name: screen_recordings
-    data_files:
-      - path: "**/screen.mp4"
-        split: train
+- config_name: dialogue_turns
+  data_files:
+  - path: '**/turns.json'
+    split: train
+- config_name: session_metadata
+  data_files:
+  - path: '**/meta.json'
+    split: train
+- config_name: file_snapshots
+  data_files:
+  - path: '**/files/*.json'
+    split: train
+- config_name: screen_recordings
+  data_files:
+  - path: '**/screen.mp4'
+    split: train
+tags:
+- computer-use
+- real-time-interaction
 ---
 
 # DigitalCoach Dataset
 
-[![Paper](https://img.shields.io/badge/Paper-arXiv-B31B1B?style=flat-square&logo=arxiv&logoColor=fff)](https://arxiv.org/abs/2606.31980)
-[![Paper (HTML)](https://img.shields.io/badge/Paper-HTML-blue?style=flat-square)](https://arxiv.org/html/2606.31980v1)
+[![arXiv](https://img.shields.io/badge/Paper-arXiv-B31B1B?style=flat-square&logo=arxiv&logoColor=fff)](https://arxiv.org/abs/2606.31980)
+[![Project Page](https://img.shields.io/badge/Paper-HTML-blue?style=flat-square)](https://project-digital-coach.vercel.app/)
 
 DigitalCoach is a multimodal expert-novice computer-use coaching dataset for studying how humans teach software skills through grounded dialogue.  
 It contains **72 coaching sessions**, **22,752 dialogue turns**, and **28.1 hours** of screen recordings, collected across **5 software applications** in creativity, engineering, and productivity-oriented workflows.
 
-Each session pairs one expert coach with one novice learner, and captures:
-- turn-level dialogue transcripts
-- session metadata (task, participants, start time, counts)
-- timestamped software/file state snapshots
-- full screen recordings
+Each session pairs one expert coach with one novice learner, and captures timestamped data:
+- dialogue transcripts
+- screen recordings
+- computer use input events
+- file snapshots
 
 The dataset supports research on collaborative computer-use agents that teach users (not just automate tasks), with emphasis on grounded instruction, feedback, diagnosis, and learner engagement.
 
@@ -59,27 +62,15 @@ The dataset supports research on collaborative computer-use agents that teach us
 
 ---
 
-## Task Setup
-
-Sessions are organized around real software-learning workflows.  
-For each tutorial workflow, learners also complete matched pre/post tasks to measure skill transfer and retention.
-
-- **Participants:** expert coach + novice learner
-- **Session length:** approximately 3 hours
-- **Coverage per session:** typically 3-4 tasks in one software environment
-- **Domains:** creativity, engineering, productivity-oriented analytical work
-
----
-
 ## Applications Covered
 
-DigitalCoach sessions span five software environments, including:
+DigitalCoach sessions span five software applications, including:
 
 - Figma
 - Blender
-- FL Studio
 - Onshape
-- Matplotlib-based analytical workflows
+- FL Studio
+- Excel
 
 ---
 
@@ -93,4 +84,18 @@ DigitalCoach/
       turns.json
       screen.mp4
       files/
-        {timestamp}.json
+        {timestamp}.json
+
+---
+
+## Citation
+
+```bibtex
+@inproceedings{chen2026digitalcoach,
+  title={DigitalCoach: Communication and Grounding Gaps in Human and Agentic Computer Use Coaching},
+  author={Chen, Meng and Ji, Anya and Wu, Tsung-Han and Maringgele, Tobias and Chan, David M. and Suhr, Alane and Pavel, Amy},
+  booktitle={Arxiv},
+  doi={10.48550/arXiv.2606.31980}
+  year={2026},
+}
+```