Update README.md

README.md

@@ -19,6 +19,6 @@ The models are all scaled to a unit sphere scale which is a normalised cubic sca
 The benefits to doing this is reduced file size and memory usage. Can be used to teach netural networks the shapes of objects to then be fed into a re-coloring network.
 
 **This is work-in-progress (WIP)** and I might not even finish it because the process is a little slow, the script I am using to convert the GLB files is a Blender script in Python that seems to leak memory in the second phase for some reason, you can check it out here: https://github.com/lzardy/glb_processing/blob/main/glb_to_ply.py
-_Even if it didn't leak... It's still really really slow._
+Even if it didn't leak... It's still really slow and takes around 48 hours to do a single section, in total there are 160 sections with 5,000 models per section so I will probably just convert the first two sections making a total of 10,000 models.
 
 Refer to the original [AllenAI Objverse 1.0 dataset here](https://huggingface.co/datasets/allenai/objaverse) for the meta-data etc.