update progress

README.md

@@ -246,7 +246,7 @@ homepage: https://vlar-group.github.io/PhysInOne.html
 | Component             | Progress                      | Status       | Notes                             |
 | --------------------- | ----------------------------- | ------------ | --------------------------------- |
 | Mini SubSet (Val)     | `██████████`100%              | Released     |                                   |
-| Rendered Data - Train | `█████████░` 89%(109847/122,988) | In progress  | Last updated: Jul 13              |
+| Rendered Data - Train | `██████████` 95%(109847/115,371) | In progress  | Last updated: Jul 19              |
 | Rendered Data - Test  | `░░░░░░░░░░` 0%(0/15411)      | In progress  |                                   |
 | Rendered Data - Val   | `░░░░░░░░░░` 1%(103/15411)    | In progress  |                                   |
 | 3D Assets             | `░░░░░░░░░░` 0%               | Not released | Expected around June              |
@@ -266,11 +266,11 @@ Due to the large scale of PhysInOne, the rendered data and annotations are split
 - PhysInOneP08: https://huggingface.co/datasets/PhysInOneP08/PhysInOneP08 <strong style="color:#d32f2f;">7.18 TB</strong> ( Complete )
 - PhysInOneP09: https://huggingface.co/datasets/PhysInOneP09/PhysInOneP09 <strong style="color:#d32f2f;">7.16 TB</strong> ( Complete )
 - PhysInOneP10: https://huggingface.co/datasets/PhysInOneP10/PhysInOneP10 <strong style="color:#d32f2f;">7.20 TB</strong> ( Complete )
-- PhysInOneP11: https://huggingface.co/datasets/PhysInOneP11/PhysInOneP11 <strong style="color:#d32f2f;">6.13 TB</strong>
+- PhysInOneP11: https://huggingface.co/datasets/PhysInOneP11/PhysInOneP11 <strong style="color:#d32f2f;">7.45 TB</strong> ( Complete )
 - PhysInOneP12: https://huggingface.co/datasets/PhysInOneP12/PhysInOneP12 <strong style="color:#d32f2f;">6.62 TB</strong> ( Complete )
 - PhysInOneP13: https://huggingface.co/datasets/PhysInOneP13/PhysInOneP13 <strong style="color:#d32f2f;">6.62 TB</strong> ( Complete )
-- PhysInOneP14: https://huggingface.co/datasets/PhysInOneP14/PhysInOneP14 <strong style="color:#d32f2f;">6.66 TB</strong>
-- PhysInOneP15: https://huggingface.co/datasets/PhysInOneP15/PhysInOneP15 <strong style="color:#d32f2f;">0.00 TB</strong>
+- PhysInOneP14: https://huggingface.co/datasets/PhysInOneP14/PhysInOneP14 <strong style="color:#d32f2f;">6.66 TB</strong> ( Complete )
+- PhysInOneP15: https://huggingface.co/datasets/PhysInOneP15/PhysInOneP15 <strong style="color:#d32f2f;">3.87 TB</strong>
 
 For large-scale downloading and filtering, please refer to the **How to Download** section below.
 
@@ -279,7 +279,7 @@ For large-scale downloading and filtering, please refer to the **How to Download
 <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; text-align: justify;">
 
-PhysInOne is divided into <strong>Train, Val, and Test</strong> splits, containing 122,988, 15,411, and 15,411 scenes, respectively. The three splits are generated with <strong>completely distinct 3D meshes and backgrounds</strong>, ensuring that no scene or visual content is shared across splits. This separation provides a robust benchmark for evaluating generalization and physical reasoning.
+PhysInOne is divided into <strong>Train, Val, and Test</strong> splits, containing 115,371, 15,411, and 15,411 scenes, respectively. The three splits are generated with <strong>completely distinct 3D meshes and backgrounds</strong>, ensuring that no scene or visual content is shared across splits. This separation provides a robust benchmark for evaluating generalization and physical reasoning.
 
 </div>