Update README.md

README.md

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 license: cc-by-4.0
+task_categories:
+- text-generation
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 # 🧠 CC-HARD: A Challenging Dataset for Design-to-Code Generation
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 [📄 Paper on arXiv](https://arxiv.org/pdf/2508.03560)
 [📄 Paper on ACM](https://arxiv.org/pdf/2508.03560)
 
-**CC-HARD** (Common Crawl – Hard) is a challenging benchmark dataset introduced in the KDD 2025 paper *[LaTCoder: Converting Webpage Design to Code with Layout-as-Thought](https://arxiv.org/pdf/2508.03560)*.
+**CC-HARD** is a challenging benchmark dataset introduced in the KDD 2025 paper *LaTCoder: Converting Webpage Design to Code with Layout-as-Thought*.
 It was specifically designed to evaluate layout fidelity in **webpage design-to-code generation**.
 
 The dataset consists of **128 webpage screenshots** and their corresponding **HTML/CSS code**, manually curated from the Common Crawl corpus. Unlike prior datasets, CC-HARD emphasizes:
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 - `image`: A high-resolution PNG screenshot of a real-world webpage design  
 - `text`: The corresponding HTML/CSS code used to render that design
 
----
-
 
-## 📊 Dataset Comparison: CC-HARD vs. Design2Code-HARD
+## Dataset Comparison: CC-HARD vs. Design2Code-HARD
 
 We compare **CC-HARD** with **Design2Code-HARD** dataset across multiple structural and content dimensions.
 The following table summarizes the key statistics, as reported in the *LaTCoder* paper (Table 2):
@@ -45,7 +45,7 @@ The following table summarizes the key statistics, as reported in the *LaTCoder*
 | Avg. Unique Tags         | 23 ± 5           | 27 ± 5        |
 
 
-### 🔍 Key Differences and Analysis
+### Key Differences and Analysis
 
 As discussed in the paper:
 
@@ -57,6 +57,7 @@ As discussed in the paper:
 As a result, models that perform well on Design2Code-HARD often struggle on CC-HARD — a trend clearly shown in the benchmark results.
 This highlights the **increased layout sensitivity and real-world difficulty** embedded in CC-HARD, making it a more suitable testbed for evaluating layout-aware design-to-code systems.
 
+---
 
 ## 🧾 Citation
 
@@ -76,6 +77,4 @@ This highlights the **increased layout sensitivity and real-world difficulty** e
     keywords = {code generation, design to code, ui automation},
     location = {Toronto ON, Canada},
     series = {KDD '25}  
-}
-
-
+}