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README.md

@@ -30,23 +30,23 @@ This dataset provides a high-quality, multi-view synchronized capture of expert
 
 ## Key Technical Features
 
-* **Synchronized Multi-View: Includes perfectly aligned ego-centric (First-Person View) and third-person perspectives captured simultaneously.
-* **Non-Rigid Physics: Specifically designed to capture material behaviors such as plasticity, elasticity, and shear during professional butchery tasks.
-* **Unified Dataset Structure: Features a modern unified format where each example contains all synchronized video streams in a single row for seamless cross-modal training.
-* **Expert Precision: High-density micro-clips (1.80s) focusing on the exact moment of contact and manipulation between the expert and the organic material.
+* Synchronized Multi-View: Includes perfectly aligned ego-centric (First-Person View) and third-person perspectives captured simultaneously.
+* Non-Rigid Physics: Specifically designed to capture material behaviors such as plasticity, elasticity, and shear during professional butchery tasks.
+* Unified Dataset Structure: Features a modern unified format where each example contains all synchronized video streams in a single row for seamless cross-modal training.
+* Expert Precision: High-density micro-clips (1.80s) focusing on the exact moment of contact and manipulation between the expert and the organic material.
 
 ## Use Cases for Research
 
-* **Embodied AI and World Models: Training agents to predict the physical consequences of interacting with deformable organic matter.
-* **Procedural Task Learning: Modeling short-burst, high-precision actions where step order and expert intent are critical.
-* **Tactile-Visual Inference: Learning to estimate force, grip, and material resistance through visual observation of fine meat-cutting and handling.
+* Embodied AI and World Models: Training agents to predict the physical consequences of interacting with deformable organic matter.
+* Procedural Task Learning: Modeling short-burst, high-precision actions where step order and expert intent are critical.
+* Tactile-Visual Inference: Learning to estimate force, grip, and material resistance through visual observation of fine meat-cutting and handling.
 
 ## Full Dataset Specifications
 
-* **Expert Audio Narration: Live commentary explaining intent, tactile feedback, and professional heuristics.
-* **Total Duration: 50+ hours of continuous professional expert operations.
-* **Extended Tasks: Full-cycle sausage production, precise meat cutting, and specialized tool maintenance.
-* **Data Quality: Native 4K resolution, studio-grade audio, and comprehensive temporal action annotations.
+* Expert Audio Narration: Live commentary explaining intent, tactile feedback, and professional heuristics.
+* Total Duration: 50+ hours of continuous professional expert operations.
+* Extended Tasks: Full-cycle sausage production, precise meat cutting, and specialized tool maintenance.
+* Data Quality: Native 4K resolution, studio-grade audio, and comprehensive temporal action annotations.
 
 ## Dataset Statistics
 

medias/mosaic.mp4

@@ -1,3 +1,3 @@
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