Update README.md

README.md

@@ -157,46 +157,6 @@ python -m gradio poster_craft_web_ui.py
 
 </div>
 
----
-
-
-We provide **four specialized datasets** for training PosterCraft workflow:
-
-### 🔤 Text-Render-2M
-<div align="center">
-<img src="images/dataset/dataset1.png" alt="Text-Render-2M Dataset" width="1000"/>
-<br>
-<em><strong>Text-Render-2M: Multi-instance text rendering with diverse selections</strong></em>
-</div>
-
-A comprehensive text rendering dataset containing **2 million high-quality examples**. Features multi-instance text rendering, diverse text selections (varying in size, count, placement, and rotation), and dynamic content generation through both template-based and random string approaches.
-
-### 🎨 HQ-Poster-100K
-<div align="center">
-<img src="images/dataset/dataset2.png" alt="HQ-Poster-100K Dataset" width="1000"/>
-<br>
-<em><strong>HQ-Poster-100K: Curated high-quality aesthetic posters</strong></em>
-</div>
-
-**100,000** meticulously curated high-quality posters with advanced filtering techniques and multi-modal scoring. Features Gemini-powered mask generation with detailed captions for comprehensive poster understanding.
-
-### 👍 Poster-Preference-100K
-<div align="center">
-<img src="images/dataset/dataset3.png" alt="Poster-Preference-100K Dataset" width="1000"/>
-<br>
-<em><strong>Poster-Preference-100K: Preference learning pairs for aesthetic optimization</strong></em>
-</div>
-
-**100,000** preference learning poster pairs with comprehensive evaluation by Gemini and aesthetic evaluators. Designed for human-aligned poster generation training through reinforcement learning.
-
-### 🔄 Poster-Reflect-120K
-<div align="center">
-<img src="images/dataset/dataset4.png" alt="Poster-Reflect-120K Dataset" width="1000"/>
-<br>
-<em><strong>Poster-Reflect-120K: Vision-language feedback pairs for iterative refinement</strong></em>
-</div>
-
-
 
 ---