Update README.md

README.md

@@ -1,82 +1,82 @@
----
-dataset_info:
-  features:
-  - name: prompt
-    dtype: string
-  - name: panorama
-    dtype: image
-  - name: front_view
-    dtype: image
-  splits:
-  - name: view
-    num_bytes: 39559466
-    num_examples: 10
-  - name: train
-    num_bytes: 384144677331
-    num_examples: 100000
-  - name: validation
-    num_bytes: 38102489269
-    num_examples: 10000
-  - name: test
-    num_bytes: 37980557545
-    num_examples: 10000
-  download_size: 454638795228
-  dataset_size: 460267283611
-configs:
-- config_name: default
-  data_files:
-  - split: view
-    path: data/view-*
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
-license: apache-2.0
-language:
-- en
-size_categories:
-- 100K<n<1M
----
-
-# GenEx-DB-Panorama-World 🎞️🌍
-
-This is the GenEx-DB panorama dataset for world initialization. 
-
-The dataset contains 120,000 panorama images generated by [Flux-Dev-Panorama-LoRA-2](https://huggingface.co/jbilcke-hf/flux-dev-panorama-lora-2), the prompts are from ``.
-
-Each row is pairs with its generation prompt and extracted front view image from the panorama.
-
-The dataset has been split into train, validation, test at 100,000, 10,000, 10,000.
-
-## 🚀 Usage
-
-```python
-from datasets import load_dataset
-
-# Login using e.g. `huggingface-cli login` to access this dataset
-ds = load_dataset("TaiMingLu/GenEx-DB-Panorama-World", streaming=True)
-
-# Inspect one example
-for row in ds:
-    print(row['prompt'])
-    print(row['panorama'])
-    print(row['front_view'])
-    break
-```
-
-
-## ✨ BibTex
-
-```
-@misc{lu2025genexgeneratingexplorableworld,
-      title={GenEx: Generating an Explorable World}, 
-      author={Taiming Lu and Tianmin Shu and Junfei Xiao and Luoxin Ye and Jiahao Wang and Cheng Peng and Chen Wei and Daniel Khashabi and Rama Chellappa and Alan Yuille and Jieneng Chen},
-      year={2025},
-      eprint={2412.09624},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV},
-      url={https://arxiv.org/abs/2412.09624}, 
-}
-```
+---
+dataset_info:
+  features:
+  - name: prompt
+    dtype: string
+  - name: panorama
+    dtype: image
+  - name: front_view
+    dtype: image
+  splits:
+  - name: view
+    num_bytes: 39559466
+    num_examples: 10
+  - name: train
+    num_bytes: 384144677331
+    num_examples: 100000
+  - name: validation
+    num_bytes: 38102489269
+    num_examples: 10000
+  - name: test
+    num_bytes: 37980557545
+    num_examples: 10000
+  download_size: 454638795228
+  dataset_size: 460267283611
+configs:
+- config_name: default
+  data_files:
+  - split: view
+    path: data/view-*
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+license: cc-by-4.0
+language:
+- en
+size_categories:
+- 100K<n<1M
+---
+
+# GenEx-DB-Panorama-World 🎞️🌍
+
+This is the GenEx-DB panorama dataset for world initialization. 
+
+The dataset contains 120,000 panorama images generated by [Flux-Dev-Panorama-LoRA-2](https://huggingface.co/jbilcke-hf/flux-dev-panorama-lora-2), the prompts are from ``.
+
+Each row is pairs with its generation prompt and extracted front view image from the panorama.
+
+The dataset has been split into train, validation, test at 100,000, 10,000, 10,000.
+
+## 🚀 Usage
+
+```python
+from datasets import load_dataset
+
+# Login using e.g. `huggingface-cli login` to access this dataset
+ds = load_dataset("TaiMingLu/GenEx-DB-Panorama-World", streaming=True)
+
+# Inspect one example
+for row in ds:
+    print(row['prompt'])
+    print(row['panorama'])
+    print(row['front_view'])
+    break
+```
+
+
+## ✨ BibTex
+
+```
+@misc{lu2025genexgeneratingexplorableworld,
+      title={GenEx: Generating an Explorable World}, 
+      author={Taiming Lu and Tianmin Shu and Junfei Xiao and Luoxin Ye and Jiahao Wang and Cheng Peng and Chen Wei and Daniel Khashabi and Rama Chellappa and Alan Yuille and Jieneng Chen},
+      year={2025},
+      eprint={2412.09624},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2412.09624}, 
+}
+```