Update README.md

README.md

@@ -1,25 +1,10 @@
 ---
-language:
-- en
-size_categories:
-- 1K<n<10K
-task_categories:
-- image-to-image
-- unconditional-image-generation
-- image-classification
-- text-to-image
-paperswithcode_id: matsynth
 pretty_name: MatSynth
-homepage: https://gvecchio.com/matsynth/
-tags:
-- materials
-- pbr
-- 4d
-- graphics
-- rendering
-- svbrdf
-viewer: false
 dataset_info:
+  version: 1.0.0
+  homepage: https://gvecchio.com/matsynth/
+  paperswithcode_id: matsynth
+  description: MatSynth is a large-scale dataset comprising over 4,000 ultra-high resolution PBR materials, all released under permissive licensing.
   features:
   - name: name
     dtype: string
@@ -106,6 +91,23 @@ configs:
     path: data/test-*
   - split: train
     path: data/train-*
+language:
+- en
+size_categories:
+- 1K<n<10K
+task_categories:
+- image-to-image
+- unconditional-image-generation
+- image-classification
+- text-to-image
+tags:
+- materials
+- pbr
+- 4d
+- graphics
+- rendering
+- svbrdf
+viewer: false
 ---
 
 # MatSynth
@@ -118,7 +120,7 @@ Meticulously collected and curated, MatSynth is poised to drive innovation in ma
 For further information, refer to our paper: ["MatSynth: A Modern PBR Materials Dataset"](https://arxiv.org/abs/2401.06056) available on arXiv.
 
 <center>
-  <img src="https://gvecchio.com/matsynth/static/images/teaser.png" style="border-radius:15px; width:80%">
+  <img src="https://gvecchio.com/matsynth/static/images/teaser.png" style="border-radius:10px">
 </center>
 
 ## 🔍 Dataset Details
@@ -138,7 +140,6 @@ This comprehensive metadata facilitates precise material selection and usage, ca
 ## 📂 Dataset Structure
  
 The MatSynth dataset is divided into two splits: the test split, containing 89 materials, and the train split, consisting of 3,980 materials. 
-To enhance accessibility and ease of navigation, each split is further organized into separate folders for each distinct category present in the dataset (Blends, Ceramic, Concrete, Fabric, Ground, Leather, Marble, Metal, Misc, Plastic, Plaster, Stone, Terracotta, Wood). 
 
 ## 🔨 Dataset Creation
 
@@ -175,6 +176,19 @@ licensing and a timestamps for eventual future versioning.
 For a subset of materials, when the information is available, we also provide the author name (387), text description (572) and a physical size, 
 presented as the length of the edge in centimeters (358). 
 
+## 🧑‍💻 Usage
+
+MatSynth is accessible through the datasets python library.
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset(
+    "gvecchio/MatSynth", 
+    streaming = True,
+)
+```
+
 ## 📜 Citation
 
 ```