Update README.md

README.md

@@ -9,9 +9,10 @@ First, we augment the [MERL dataset](https://www.merl.com/research/downloads/BRD
 Next, we adopt neural fields as a low-dimensional, continuous representation for materials,
 fitting them to individual materials in Aug-MERL to create a new dataset of neural material representations, Neural MERL (NeuMERL).
 
-## Dataset formation
+The dataset released here contains 2400 BRDFs. Please download it at `NeuMERL-2400.npy`, with Pytorch weights of shape (2400, 675). You could also download it separately at `NeuMERL(24*100)/mlp_weights_all_{i}.npy`, with i from 1 to 24.
+
 
-The dataset released here contains 2400 BRDFs. The formation is described as follows:
+## Dataset formation
 
 To form the AugMERL dataset, we first augment the original MERL dataset with color channel permutation. The first group materials (1-600) are all without interpolation. Then, we augment the BRDFs via direct linear interpolation, forming three groups of materials (601-1200, 1201-1800, 1801-2400), where each group follows the same color channel permutation as the first group.
 
@@ -40,7 +41,7 @@ return brdf
 
 ## BRDF interpolation
 
-Please refer to `interpolate_interpolation_{i}.txt`, each line is in the format of
+Please refer to `interpolate/interpolate_interpolation_{i}.txt`, each line is in the format of
 
 ```
 MERL_BRDF1_name MERL_BRDF2_name \alpha