Upload README.md

README.md

@@ -182,25 +182,25 @@ homepage: https://vlar-group.github.io/PhysInOne.html
 <a href="#dataset-structure">📦 Dataset Structure</a><br>
 <a href="#data-splits">📊 Data Splits</a><br>
 <a href="#data-fields">🧩 Data Fields</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#physical-phenomena">Physical Phenomena</a><br>
+   • <a href="#physical-phenomena">Physical Phenomena</a><br>
 <a href="#annotation-details">📝 Annotation Details</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#depth">Depth</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#segmentation">Segmentation</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#captions">Captions</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#trajectories">Trajectories</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#cameras">Cameras</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;◦ <a href="#camera-json-structure">Camera JSON structure</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;◦ <a href="#dynamic-camera-behavior">Dynamic camera behavior</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#point-clouds">Point Clouds</a><br>
+   • <a href="#depth">Depth</a><br>
+   • <a href="#segmentation">Segmentation</a><br>
+   • <a href="#captions">Captions</a><br>
+   • <a href="#trajectories">Trajectories</a><br>
+   • <a href="#cameras">Cameras</a><br>
+      ◦ <a href="#camera-json-structure">Camera JSON structure</a><br>
+      ◦ <a href="#dynamic-camera-behavior">Dynamic camera behavior</a><br>
+   • <a href="#point-clouds">Point Clouds</a><br>
 <a href="#how-to-download">📥 How to Download</a><br>
-&nbsp;&nbsp;&nbsp;<a href="#download-scripts">1. Download Scripts</a><br>
-&nbsp;&nbsp;&nbsp;<a href="#install-dependencies">2. Install Dependencies</a><br>
-&nbsp;&nbsp;&nbsp;<a href="#filter-cases">3. Filter Cases</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href="#filter-by-split">3.1 Split</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href="#filter-by-split-and-activity">3.2 Split + Activity</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href="#filter-by-phenomenon">3.3 Phenomenon</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href="#random-sampling">3.4 Random Sampling</a><br>
-&nbsp;&nbsp;&nbsp;<a href="#download-selected-cases">4. Download Cases</a><br>
+   <a href="#download-scripts">1. Download Scripts</a><br>
+   <a href="#install-dependencies">2. Install Dependencies</a><br>
+   <a href="#filter-cases">3. Filter Cases</a><br>
+      <a href="#filter-by-split">3.1 Split</a><br>
+      <a href="#filter-by-split-and-activity">3.2 Split + Activity</a><br>
+      <a href="#filter-by-phenomenon">3.3 Phenomenon</a><br>
+      <a href="#random-sampling">3.4 Random Sampling</a><br>
+   <a href="#download-selected-cases">4. Download Cases</a><br>
 <a href="#license">📜 License</a><br>
 <a href="#citation">📚 Citation</a><br>
 <a href="#contact">📮 Contact</a><br>
@@ -211,7 +211,6 @@ homepage: https://vlar-group.github.io/PhysInOne.html
 <h2 id="summary" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📌 Summary</h2>
 <div style="margin-left: 24px;">
 
-
 **PhysInOne** is a large-scale synthetic dataset for visual physics learning and reasoning. It contains **153,810 dynamic 3D scenes** and **2 million annotated videos**, covering **71 basic physical phenomena** across four domains of everyday physics: **mechanics**, **optics**, **fluid dynamics**, and **magnetism**.
 
 Each scene may contain multi-object and multi-physics interactions in complex 3D environments. PhysInOne provides rich annotations including RGB videos, depth maps, object masks, 3D trajectories, camera poses, object meshes, material properties, and textual descriptions.
@@ -226,7 +225,7 @@ The dataset is designed to support research on physics-aware video generation, f
   </div>
 
 <div style="padding: 12px; border: 1px solid #e5e7eb; border-radius: 10px; background: #fafafa;">
-    <strong>2M</strong><br>
+    <strong>2,000,000</strong><br>
     <span style="font-size: 13px;">Annotated videos</span>
   </div>
 
@@ -247,7 +246,6 @@ The dataset is designed to support research on physics-aware video generation, f
 <h2 id="release-timetable" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">🚀 Release Timetable</h2>
 <div style="margin-left: 24px;">
 
-
 | Component             | Progress                      | Status       | Notes                             |
 | --------------------- | ----------------------------- | ------------ | --------------------------------- |
 | SubSet                | `██████████`100%              | Released     |                                   |
@@ -270,7 +268,6 @@ For large-scale downloading and filtering, please refer to the **How to Download
 <h2 id="dataset-structure" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📦 Dataset Structure</h2>
 <div style="margin-left: 24px;">
 
-
 TODO
 
 </div>
@@ -278,7 +275,6 @@ TODO
 <h2 id="data-splits" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📊 Data Splits</h2>
 <div style="margin-left: 24px;">
 
-
 PhysInOne is divided into three primary splits: **Train**, **Val**, and **Test**.  
 
 - Train Split: contains 122,988 scenes.  
@@ -294,11 +290,9 @@ This design guarantees that training, validation, and test sets are fully separa
 <h2 id="data-fields" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">🧩 Data Fields</h2>
 <div style="margin-left: 24px;">
 
-
-<h3 id="physical-phenomena" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">&bull;</span>Physical Phenomenon and Abbreviations</h3>
+<h3 id="physical-phenomena" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Physical Phenomenon and Abbreviations</h3>
 <div style="margin-left: 16px;">
 
-
 <details>
 <summary>Click to expand full abbreviation table</summary>
 
@@ -393,21 +387,18 @@ This naming convention allows users to quickly parse scene metadata and link it
 <h2 id="annotation-details" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📝 Annotation Details</h2>
 <div style="margin-left: 24px;">
 
-
 PhysInOne provides synchronized visual and physical annotations for each dynamic 3D scene.
 
-<h3 id="depth" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">&bull;</span>Depth</h3>
+<h3 id="depth" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Depth</h3>
 <div style="margin-left: 16px;">
 
-
 Depth maps are provided in `.npz` format and are expressed in meters.
 
 </div>
 
-<h3 id="segmentation" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">&bull;</span>Segmentation</h3>
+<h3 id="segmentation" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Segmentation</h3>
 <div style="margin-left: 16px;">
 
-
 Segmentation masks encode background, static foreground objects, and dynamic foreground objects.
 
 Expected encoding:
@@ -420,26 +411,23 @@ Expected encoding:
 
 </div>
 
-<h3 id="captions" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">&bull;</span>Captions</h3>
+<h3 id="captions" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Captions</h3>
 <div style="margin-left: 16px;">
 
-
 Each scene includes a `caption.txt` file containing an English paragraph that describes the visual elements and the physical activity.
 
 </div>
 
-<h3 id="trajectories" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">&bull;</span>Trajectories</h3>
+<h3 id="trajectories" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Trajectories</h3>
 <div style="margin-left: 16px;">
 
-
 TODO
 
 </div>
 
-<h3 id="cameras" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">&bull;</span>Cameras</h3>
+<h3 id="cameras" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Cameras</h3>
 <div style="margin-left: 16px;">
 
-
 Each scene includes multiple camera viewpoints to support 3D perception, reconstruction, and physics-based visual reasoning tasks.
 
 - Taichi-based MPM simulations (elastic solids, plasticine, granular substances, some Newtonian and Non-Newtonian fluids): 15 static cameras + 1 dynamic camera
@@ -468,13 +456,11 @@ Per camera:
 
 </div>
 
-
 </div>
 
-<h3 id="point-clouds" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">&bull;</span>Point Clouds</h3>
+<h3 id="point-clouds" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Point Clouds</h3>
 <div style="margin-left: 16px;">
 
-
 Each scene should include `points.ply`.
 
 The initial point cloud was obtained by back-projecting the pixels from each camera view in the first frame based on depth, followed by randomly sampling 100,000 points from the resulting data.