rename

README.md

@@ -1,6 +1,6 @@
 # Real5-OmniDocBench
 
-**Real5-OmniDocBench** is a brand-new benchmark oriented toward real-world scenarios, which we constructed based on the OmniDocBench v1.5 dataset. The dataset comprises five distinct scenarios: Scanning, Curving, Screen-photo, Light Variation, and Skewing. Apart from the Scanning category, all images were manually acquired via handheld mobile devices to closely simulate real-world conditions. Each subset maintains a one-to-one correspondence with the original OmniDocBench, strictly adhering to its ground-truth annotations and evaluation protocols. Given its empirical and realistic nature, this dataset serves as a rigorous benchmark for assessing the robustness of document parsing models in practical applications. 
+**Real5-OmniDocBench** is a brand-new benchmark oriented toward real-world scenarios, which we constructed based on the OmniDocBench v1.5 dataset. The dataset comprises five distinct scenarios: Scanning, Warping, Screen-Photography, Illumination, and Skew. Apart from the Scanning category, all images were manually acquired via handheld mobile devices to closely simulate real-world conditions. Each subset maintains a one-to-one correspondence with the original OmniDocBench, strictly adhering to its ground-truth annotations and evaluation protocols. Given its empirical and realistic nature, this dataset serves as a rigorous benchmark for assessing the robustness of document parsing models in practical applications. 
 
 ---
 
@@ -8,11 +8,11 @@
 
 ### 1. Real-world Scenarios
 Real5-OmniDocBench contains five challenging and representative photographic scenarios:
-* **Scanning**: Images captured by scanning devices, simulating flat, clean document scans.
-* **Curving**: Photos of documents with visible page curvatures, mimicking book spine or folding distortions.
-* **Skewing**: Documents photographed at an angle, resulting in perspective distortion.
-* **Screen-photo**: Photographs of screens displaying documents, introducing moiré patterns and reflections.
-* **Light-variation**: Images taken under varied lighting conditions, including shadows and glare.
+* **Scanning**: Images captured by scanning devices, simulating flat and clean document scans.
+* **Warping**: Photos of documents with visible page curvatures, mimicking distortions caused by book spines or folding.
+* **Skew**: Documents photographed at an angle, resulting in perspective distortion.
+* **Screen-Photography**: Photographs of screens displaying documents, introducing moiré patterns and reflections.
+* **Illumination**: Images taken under varied lighting conditions, including shadows and glare.
 
 ### 2. Comprehensive Coverage
 For each scenario, the dataset contains **1,355 images**, corresponding exactly to the original pages in the OmniDocBench evaluation set. This enables direct, controlled comparison of model performance across different real-world conditions.
@@ -35,16 +35,16 @@ The dataset follows the directory structure shown below:
 
 ```text
 Real5-OmniDocBench/
-├── Real5-OmniDocBench-curving/
+├── Real5-OmniDocBench-Warping/
 │   ├── book_en_[搬书匠#20][HTML5 Canvas].2011.英文版_page_208.png
 │   └── ...
-├── Real5-OmniDocBench-lighting-variation/
+├── Real5-OmniDocBench-Illumination/
 │   └── ...
-├── Real5-OmniDocBench-scaning/
+├── Real5-OmniDocBench-Scanning/
 │   └── ...
-├── Real5-OmniDocBench-screen-photo/
+├── Real5-OmniDocBench-Screen-Photography/
 │   └── ...
-└── Real5-OmniDocBench-skewing-variation/
+└── Real5-OmniDocBench-Skew/
     └── ...
 ```
 
@@ -254,7 +254,7 @@ To illustrate the impact of real-world visual distortions on document parsing, w
 
 ---
 
-### 2. Curving
+### 2. Warping
 
 <table border="1" style="width:100%; border-collapse: collapse;">
   <tr>
@@ -443,11 +443,11 @@ To illustrate the impact of real-world visual distortions on document parsing, w
   </tr>
 </table>
 
-*Curved documents introduce moderate challenges, causing a slight performance drop, but specialized VLMs maintain competitive accuracy.*
+*Warping documents introduce moderate challenges, causing a slight performance drop, but specialized VLMs maintain competitive accuracy.*
 
 ---
 
-### 3. Screen-photo
+### 3. Screen-Photography
 
 <table border="1" style="width:100%; border-collapse: collapse;">
   <tr>
@@ -636,7 +636,7 @@ To illustrate the impact of real-world visual distortions on document parsing, w
   </tr>
 </table>
 
-### 4. Lighting-variation
+### 4. Illumination
 
 <table border="1" style="width:100%; border-collapse: collapse;">
   <tr>
@@ -825,11 +825,11 @@ To illustrate the impact of real-world visual distortions on document parsing, w
   </tr>
 </table>
 
-*Severe lighting variations present significant challenges, resulting in a noticeable performance drop for most models.*
+*Severe illumination variations present significant challenges, resulting in a noticeable performance drop for most models.*
 
 ---
 
-### 5. Skewing-variation
+### 5. Skew
 
 <table border="1" style="width:100%; border-collapse: collapse;">
   <tr>