Update README.md

README.md

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 # R3PM-Net Datasets
 
-To address the gap between synthetic datasets and real-world industrial point cloud data, we propose two datasets, *Sioux-Cranfield* and *Sioux-Scans*.
+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 pickel files made from a subset of the Sioux-Cranfield dataset that can be used to train models.
 
 ## Sioux-Cranfield
 This is a diverse collection of 13 objects designed to evaluate model robustness across varying data qualities. The dataset contains 4
@@ -16,8 +17,6 @@ This table provides a structured breakdown of the composition of this dataset.
 
 <div align="center">
   
-
-
 | **Category** | **Source Type** | **Qty** |
 | :--- | :--- | :--- |
 | Sioux (Reconstructed) | Photogram. | 4 |
@@ -47,4 +46,6 @@ These artifacts stem from sensor noise, lighting sensitivity, and viewpoint-depe
   <p><b>Sioux-Scans point cloud data.</b> Target (blue) and Source (yellow) point clouds for seven distinct objects.</p>
 </div>
 
-
+## Train/Test pickle (.pkl) Files
+These files are compatible with [Learning3d](https://github.com/vinits5/learning3d) library and can be used to train or fine-tune models included in it. 
+These pickle 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, with 80-20 train-test split.