Update README.md

README.md

@@ -21,27 +21,7 @@ dataset_info:
     num_examples: 6
   download_size: 983238889
   dataset_size: 4531333734
-- config_name: indoor-debug
-  features:
-  - name: image
-    dtype: image
-  - name: depth
-    dtype: binary
-  - name: normals
-    dtype: binary
-  splits:
-  - name: train
-    num_bytes: 2274057190
-    num_examples: 30
-  - name: val
-    num_bytes: 893846425
-    num_examples: 12
-  - name: test
-    num_bytes: 901801642
-    num_examples: 12
-  download_size: 941108154
-  dataset_size: 4069705257
-- config_name: outdoor
+- config_name: nature
   features:
   - name: image
     dtype: image
@@ -61,26 +41,6 @@ dataset_info:
     num_examples: 2
   download_size: 1121988421
   dataset_size: 1589617209
-- config_name: outdoor-debug
-  features:
-  - name: image
-    dtype: image
-  - name: depth
-    dtype: binary
-  - name: normals
-    dtype: binary
-  splits:
-  - name: train
-    num_bytes: 766627252
-    num_examples: 10
-  - name: val
-    num_bytes: 155647248
-    num_examples: 2
-  - name: test
-    num_bytes: 302629869
-    num_examples: 4
-  download_size: 622750280
-  dataset_size: 1224904369
 configs:
 - config_name: indoor
   data_files:
@@ -90,30 +50,14 @@ configs:
     path: indoor/val-*
   - split: test
     path: indoor/test-*
-- config_name: indoor-debug
-  data_files:
-  - split: train
-    path: indoor-debug/train-*
-  - split: val
-    path: indoor-debug/val-*
-  - split: test
-    path: indoor-debug/test-*
-- config_name: outdoor
-  data_files:
-  - split: train
-    path: outdoor/train-*
-  - split: val
-    path: outdoor/val-*
-  - split: test
-    path: outdoor/test-*
-- config_name: outdoor-debug
+- config_name: nature
   data_files:
   - split: train
-    path: outdoor-debug/train-*
+    path: nature/train-*
   - split: val
-    path: outdoor-debug/val-*
+    path: nature/val-*
   - split: test
-    path: outdoor-debug/test-*
+    path: nature/test-*
 ---
 
 # 🗃️ Pano-Infinigen Dataset
@@ -142,13 +86,13 @@ configs:
 It serves as the primary training data for [PaGeR](https://pager360.github.io/), a single-step diffusion model for zero-shot panoramic depth and normal estimation.
 
 ## Dataset Summary
-- **Content:** Synthetic indoor and outdoor scenes.
+- **Content:** Synthetic indoor and outdoor(nature) scenes.
 - **Modality:** RGB (PNG), Depth (binary .npy), Surface Normals (binary .npy).
 - **Projection:** Equirectangular (ERP).
 - **Use Case:** Training and evaluating monocular panoramic depth and normal estimation models.
 
 ## Data Structure
-The dataset is split into two configurations: `indoor` and `outdoor`. Each contains `train`, `validation`, and `test` splits.
+The dataset is split into two configurations: `indoor` and `nature`. Each contains `train`, `validation`, and `test` splits.
 
 | Feature | Type | Description |
 | :--- | :--- | :--- |