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README.md

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----
-license: mit
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+---
+license: mit
+task_categories:
+  - text-to-image
+  - image-to-image
+  - mask-generation
+  - image-segmentation
+language:
+  - en
+size_categories:
+  - 100K<n<1M
+source_datasets:
+  - OpenEarthMap
+  - LoveDA
+  - DeepGlobe
+  - SAMRS
+  - LAE-1M
+tags:
+  - diffusion-models
+  - remote-sensing
+  - image-synthesis
+  - controlnet
+  - earth-observation
+  - generative-models
+pretty_name: EarthSynth-180K
+---
+
+
+# EarthSynth-180K Dataset
+
+<p align="center">
+  <img src="https://jianchengpan.space/EarthSynth-website/assets/EarthSynth-180K.png" alt="EarthSynth-180K" width="600"/>
+</p>
+
+**EarthSynth-180K** is a **multi-task, conditional, diffusion-based generative dataset** designed for remote sensing image synthesis and understanding.  
+It was introduced in the paper *"EarthSynth: Generating Informative Earth Observation with Diffusion Models"* (arXiv 2025).  
+
+This dataset supports **text-to-image generation**, **mask-conditioned synthesis**, and **multi-category augmentation** for Earth observation research.
+
+---
+
+## Dataset Details
+
+### Dataset Description
+
+- **Curated by:** Jiancheng Pan, Shiye Lei, Yuqian Fu, Jiahao Li, Yanxing Liu, Yuze Sun, Xiao He, Long Peng, Xiaomeng Huang, Bo Zhao  
+- **Funded by:** [Not specified]  
+- **Shared by:** EarthSynth Team  
+- **Language(s):** English (for prompts)  
+- **License:** MIT License  
+
+### Dataset Sources
+
+- **Repository:** [GitHub - EarthSynth](https://github.com/jaychempan/EarthSynth)  
+- **Paper:** [ArXiv 2505.12108](https://arxiv.org/abs/2505.12108)  
+- **Project Page:** [EarthSynth Website](https://jianchengpan.space/EarthSynth-website/index.html)  
+- **Dataset Download:** [HuggingFace](https://huggingface.co/datasets/jaychempan/EarthSynth-180K)  
+
+---
+
+## Dataset Structure
+
+| Subset      | # Images  | Annotations        | Format            | Condition Types          |
+|-------------|-----------|--------------------|------------------|---------------------------|
+| Train        | 180,000   | Masks, Prompts      | PNG + JSONL       | Mask + Text               |
+| Validation   | 10,000    | Masks, Prompts      | PNG + JSONL       | Mask + Text               |
+| Augmented    | 180,000   | Single-Category     | PNG + JSONL       | Category + Mask + Text     |
+
+- **Masks:** Binary/instance masks for each object category.  
+- **Prompts:** Text prompts for conditional generation.  
+- **Augmentation:** Single-category augmentation for CF-Comp training strategy.  
+
+---
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+# Load dataset
+dataset = load_dataset("jaychempan/EarthSynth-180K", split="train")
+
+# Access one example
+example = dataset[0]
+print(example.keys())  # ['image', 'mask', 'prompt']
+
+# Display image
+from PIL import Image
+import io
+
+img = Image.open(io.BytesIO(example["image"]))
+img.show()