Update README.md

README.md

@@ -1,38 +1,29 @@
 ---
-# Example metadata to be added to a dataset card.  
-# Full dataset card template at https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md
 language:
-  - en
-  - zh
-  - fr
-  - ja
-  - es
-license: cc-by-nc-sa-4.0
-
+- en
+- zh
+license: c-uda
 tags:
-  - Multimedia
-  - Panoramic
-  - Video
-  - Multi-viewpoint
-
+- Video
+- Multi-viewpoint
 viewer: false
 ---
 
-# <i>360+x</i> Dataset
+# <i>PKU-DyMVHumans</i> Dataset
 
 ## Overview
 
-360+x dataset introduces a unique panoptic perspective to scene understanding, differentiating itself from traditional
-datasets by offering multiple viewpoints and modalities, captured from a variety of scenes
+PKU-DyMVHumans is a versatile human-centric dataset designed for high-fidelity reconstruction and rendering of dynamic human performances in markerless multi-view capture settings. 
+
+It comprises 32 humans across 45 different dynamic scenarios, each featuring highly detailed appearances and complex human motions. 
+
 
 ### Key Features:
 
-- **Multi-viewpoint Captures:** Includes 360° panoramic video, third-person front view video, egocentric monocular
-  video, and egocentric binocular video.
-- **Rich Audio Modalities:** Features normal audio and directional binaural delay.
-- **2,152 multi-model videos**  captured by 360 cameras and Spectacles camera (8579k frames in total) Captured in 17
-  cities across 5 countries, covering 28 scenes ranging from Artistic Spaces to Natural Landscapes.
-- **Action Temporal Segmentation:** Provides labels for 38 action instances for each video pair.
+- **High-fidelity performance:** We construct a multi-view system to capture humans in motion, containing 56/60 synchronous cameras with 1080P or 4K resolution.
+- **High-detailed appearance:** It captures complex cloth deformation, and intricate texture details, like delicate satin ribbon and special headwear.
+- **Complex human motion:**  It covers a wide range of special costume performances, artistic movements, and sports activities.
+- **Human-object/scene interactions:** It includes human-object interactions, multi-person interactions and complex scene effects (like smoking).
 
 ## Dataset Details