added folder structure

README.md

@@ -8,6 +8,23 @@ task_categories:
 This repository contains the two proposed datasets; **Sioux-Cranfield** and **Sioux-Scans**, which aim to address the gap between synthetic datasets and real-world industrial data.
 It also contains the pickle files made from a subset of the Sioux-Cranfield dataset that can be used to train models.
 
+## Folder Structure
+```
+R3PM-Net/
+├── README.md
+├── down_sampled_modelnet40.zip
+├── simulators.zip
+├── sioux_cranfield.zip
+└── sioux_scans.zip
+```
+
+## Downsampled ModelNet40
+To save time, we provide a downsampled version of ModelNet40 test set. All the point clouds are downsampled to 2000 points.
+
+## Simulators
+This directory contains pickle (.pkl) files compatible with the [Learning3d](https://github.com/vinits5/learning3d) library and can be used to train or fine-tune models. 
+These files are created from a subset of the Sioux-Cranfield containing the "teeth", "cube", "lime" and "lego" CAD models. There are 320 point cloud pairs in total, with 80-20 train-test split. 
+
 ## Sioux-Cranfield
 This is a diverse collection of 13 objects designed to evaluate model robustness across varying data qualities. The dataset contains 4
 computer-aided design (CAD) models generated via photogrammetric reconstruction, 3 synthetic CAD models, and 6 pristine geometries from the [Cranfield Benchmark](https://github.com/Menthy-Denayer/PCR_CAD_Model_Alignment_Comparison/tree/main/datasets). This combination allows for a comprehensive evaluation of performance on both high-quality synthetic meshes and realistically imperfect reconstructions.
@@ -44,11 +61,4 @@ These artifacts stem from sensor noise, lighting sensitivity, and viewpoint-depe
 <div align="center">
   <img src="https://cdn-uploads.huggingface.co/production/uploads/65e05d75e7ab5ac3383cc2b9/OrlERYP5aQW0Wf4Nsog3L.png" width="60%">
   <p><b>Sioux-Scans point cloud data.</b> Target (blue) and Source (yellow) point clouds for seven distinct objects.</p>
-</div>
-
-## Simulators
-This directory contains pickle (.pkl) files compatible with the [Learning3d](https://github.com/vinits5/learning3d) library and can be used to train or fine-tune models. 
-These files are created from a subset of the Sioux-Cranfield containing the "teeth", "cube", "lime" and "lego" CAD models. There are 320 point cloud pairs in total, with 80-20 train-test split. 
-
-## Downsampled ModelNet40
-To save time, we provide a downsampled version of ModelNet40 test set. All the point clouds are downsampled to 2000 points.
+</div>