Update README.md

README.md

@@ -20,11 +20,16 @@ pretty_name: 'WILD-Mani: Kitchen Edition'
 ---
 
 # WILD-Mani: A Real-World Bimanual Manipulation Dataset – Kitchen Edition
+
 The first installment of the WILD-Mani series.
 * High-fidelity bimanual demonstrations collected in real-world kitchen environments using Mixed Reality (MR).
 * Designed to support Sim2Real transfer for bimanual manipulation tasks.
 * Current Domain: Kitchen
 
+#### Update: 02-21-2026
+
+We are currently scaling the WILD-Mani series to 1,000+ bimanual episodes with full Unitree G1 kinematic validation. Access to the **expanded library** and our **collection/automated-validation pipeline** is being released in cohorts.
+
 ## Dataset Description
 
 This dataset contains human demonstrations of kitchen manipulation tasks captured using a Mixed Reality headset in **real-world kitchen environments**. The data tracks both hands simultaneously with 6-DOF pose tracking, enabling bimanual robot imitation learning research.
@@ -37,6 +42,7 @@ This dataset contains human demonstrations of kitchen manipulation tasks capture
 - **Camera view**: Single camera (center eye) per demonstration
 - **Diverse tasks**: Multiple kitchen manipulation tasks with varying complexity
 
+
 ## Dataset Statistics
 
 | Property | Value |
@@ -47,6 +53,7 @@ This dataset contains human demonstrations of kitchen manipulation tasks capture
 | **Cameras** | 1 |
 | **Environment** | Real kitchen with lighting variations |
 
+
 ## Task Categories
 
 | Category | Task | Objects | Actions | Demos |
@@ -56,10 +63,12 @@ This dataset contains human demonstrations of kitchen manipulation tasks capture
 | Dish Organizing | Put utensils in drawer | Fork, spoon, knife | Pick, open, place, close | 26 |
 | Meal Prep | Set table (plate + utensil) | Plate, fork, knife | Pick, place | 25 |
 
+
 ## Start/End Labeling (Temporal Bounds)
 
 Each episode has **start and end labels** so that the stored trajectory contains only the task-relevant segment. Frames before the task start (e.g. approach to the scene or button press) and after the task end are excluded. **Users can assume that the data does not include unnecessary motion at the beginning or end** of each demonstration; each episode is trimmed to the intended task interval.
 
+
 ## Action Labels (`observation.action_label`)
 
 Per-frame labels are provided as `action::subaction` strings. The vocabulary **varies by task**. Below is the label set for each task.
@@ -67,8 +76,6 @@ Per-frame labels are provided as `action::subaction` strings. The vocabulary **v
 - Language-Conditioned Policy training and Chain-of-Thought reasoning for bimanual manipulation.
 
 
-
-
 ### Get item from fridge (25 episodes)
 
 | Action | Subactions |
@@ -122,6 +129,7 @@ Per-frame labels are provided as `action::subaction` strings. The vocabulary **v
 | **Task Complexity** | Single + Multi-step | Pick-place (single) → Fridge sequence (multi-step) |
 | **Clutter** | Natural | Objects on counter, objects in fridge |
 
+
 ## Data Format
 
 This dataset follows the **LeRobot v3.0** format.
@@ -153,6 +161,7 @@ The action space represents delta poses for both hands:
 
 palm, wrist, thumb_metacarpal, thumb_proximal, thumb_distal, thumb_tip, index_metacarpal, index_proximal, index_intermediate, index_distal, index_tip, middle_metacarpal, middle_proximal, middle_intermediate, middle_distal, middle_tip, ring_metacarpal, ring_proximal, ring_intermediate, ring_distal, ring_tip, little_metacarpal, little_proximal, little_intermediate, little_distal, little_tip
 
+
 ## Recording Setup
 
 - **Headset**: Meta Quest 3 (Mixed Reality)
@@ -161,6 +170,7 @@ palm, wrist, thumb_metacarpal, thumb_proximal, thumb_distal, thumb_tip, index_me
 - **Cameras**: 1 camera (center eye view)
 - **Software**: Unity-based recording system
 
+
 ## File Structure
 
 ```
@@ -181,6 +191,7 @@ palm, wrist, thumb_metacarpal, thumb_proximal, thumb_distal, thumb_tip, index_me
 
 This dataset is released under the Apache 2.0 License.
 
+
 ## Citation
 
 If you use this dataset in your research, please cite:
@@ -195,6 +206,7 @@ If you use this dataset in your research, please cite:
 }
 ```
 
+
 ## Acknowledgments
 
 Dataset collected using Mixed Reality hand tracking in real-world kitchen environments. Recording system built with Unity and Meta Quest.