Update README.md

README.md

@@ -16,7 +16,7 @@ This is [AllenAI Objverse 1.0](https://huggingface.co/datasets/allenai/objaverse
 
 The models are all scaled to a unit sphere scale which is a normalised cubic scale then scaled again by 0.55 so that the cubic normal fits within the unit sphere.
 
-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.
+The benefits to doing this is reduced file size and memory usage. Can be used to teach neural 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://huggingface.co/datasets/tfnn/Plyverse-1.0/blob/main/glb_to_ply.py).
 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.