Add dataset README

README.md

@@ -1,26 +1,51 @@
----
-license: cc-by-4.0
-dataset_info:
-  features:
-  - name: style_name
-    dtype: string
-  - name: prompt_text
-    dtype: string
-  - name: negative_prompt
-    dtype: string
-  - name: tags
-    list: string
-  - name: compatible_models
-    list: string
-  splits:
-  - name: train
-    num_bytes: 8291
-    num_examples: 11
-  download_size: 9994
-  dataset_size: 8291
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+license: mit
+task_categories:
+  - text-generation
+language:
+  - en
+tags:
+  - image-generation
+  - diffusion
+  - prompts
+  - flux
+  - stable-diffusion
+pretty_name: Image Diffusion Prompt Style
+size_categories:
+  - n<1K
+---
+
+# Image Diffusion Prompt Style
+
+High-quality synthetic prompts for image diffusion models, optimized for **Flux**, **Z Image**, and **Qwen**.
+
+## Dataset Structure
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `style_name` | string | Short descriptive name |
+| `prompt_text` | string | Full prompt with quality tokens |
+| `negative_prompt` | string | Artifacts to avoid |
+| `tags` | list | Lowercase keywords |
+| `compatible_models` | list | Target models |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("Limbicnation/Images-Diffusion-Prompt-Style", split="train")
+prompt = ds[0]["prompt_text"]
+```
+
+## Aesthetic
+
+Prompts emphasize the **Limbicnation** style:
+- Cinematic lighting
+- Intricate textures
+- Evocative atmosphere
+- Dramatic compositions
+
+## License
+
+MIT