Update README.md

README.md

@@ -9,12 +9,12 @@ This page hosts the **KTH-ARIA Referential / "Look and Tell"** dataset, introduc
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-# Dataset Card for Gaze-Speech Analysis in Referential Communication with ARIA Headset
+# Dataset Card for Look and Tell — A Dataset for Multimodal Grounding Across Egocentric and Exocentric Views 
 
 ### Dataset Description
 
 
-This dataset investigates the synchronization of eye tracking and speech recognition using Aria smart glasses to determine whether individuals exhibit visual and verbal synchronization when identifying an object. Participants were tasked with identifying food items from a recipe while wearing Aria glasses, which recorded their eye movements and speech in real time. The dataset provides insight into gaze-speech synchronization patterns in referential communication.
+This dataset investigates the synchronization of eye tracking and speech recognition using Aria smart glasses to determine whether individuals exhibit visual and verbal synchronization when identifying an object. Participants were tasked with identifying food items from a recipe while wearing Aria glasses, which recorded their eye movements and speech in real time. The dataset enables analysis of gaze–speech synchronization and offers a rich resource for studying how people visually and verbally ground references in real environments.
 
 - **Curated by:** KTH Royal Institute of Technology
 - **Language(s) (NLP):** English
@@ -22,9 +22,9 @@ This dataset investigates the synchronization of eye tracking and speech recogni
 
 
 ## Dataset Details
-- Total duration: 2.259 h
-- Number of takes: 96
-- Average take duration: 84.7 s
+- Total duration: 3.7
+- Number of takes: 125
+- Average take duration: 108 s
 
 ![Example from dataset.](examples/output.gif)
 ![Example from dataset.](examples/combined.gif)