Update README.md

README.md

@@ -27,7 +27,7 @@ size_categories:
 
 **VLURes** is a multilingual benchmark for evaluating the fine-grained visual and linguistic understanding of Vision-Language Models (VLMs) in long-text settings. It was created to move beyond short-caption, English-centric evaluation and instead test image understanding, long-context grounding, and cross-lingual robustness in culturally diverse settings.
 
-This dataset is associated with our **ACL2026 Findings accepted paper**, **"VLURes: Benchmarking Long-Text Grounding and Cross-Lingual Robustness in Vision Language Models."**
+This dataset is associated with our <span style="color: blue;">ACL2026 Findings paper titled "VLURes: Benchmarking Long-Text Grounding and Cross-Lingual Robustness in Vision Language Models."</span>
 
 The current Hugging Face release contains the uploaded image-text pairs in a single multilingual split, with each example consisting of a renamed image file, its paired long-form text, and a language identifier.
 
@@ -119,15 +119,15 @@ This split contains the multilingual image-text pairs used in the benchmark rele
 
 ### Data Size
 
-The current uploaded release contains **3,433** examples in total.
+The current uploaded release contains **3,415** examples in total.
 
 | Language | Number of image-text pairs |
 |---|---:|
 | English (`en`) | 996 |
 | Swahili (`sw`) | 1,030 |
-| Urdu (`ur`) | 967 |
+| Urdu (`ur`) | 949 |
 | Japanese (`jp`) | 440 |
-| **Total** | **3,433** |
+| **Total** | **3,415** |
 
 <span style="color: red;">We have not included lots of Japanese (ja) image-text pairs in this release due to license restrictions imposed by the respective web sources. For en, sw, ur, we have removed some image-text pairs as well.</span>
 
@@ -214,7 +214,7 @@ print(langs)
 
 ## Intended Uses
 
-VLURes is intended for **research use** in:
+<span style="color: red;">VLURes is intended for research use in:</span>
 
 * multilingual vision-language evaluation,
 * long-text visual grounding,