Update README.md

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# Anime Realism Art Dataset

This dataset contains 126 images of anime-inspired artwork that blends realistic details with a stylized aesthetic. The images feature high-quality art with fine details, expressive eyes, and cinematic lighting.

## Categories:
- Anime-style
- Detailed Clothing
- Fashion-style
- Soft Shading

## Notes:
The dataset is designed for image-to-image tasks and is perfect for generating anime-style artwork with a more realistic approach.

README.md

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 license: mit
 task_categories:
 - image-to-image
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 pretty_name: 'Anime Realism Art Dataset'
 size_categories:
 - n<1K
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+
+---
+
+# Dataset Card for Anime Realism Art Dataset
+
+## Dataset Details
+
+### Dataset Description
+
+This dataset consists of high-quality images featuring anime realism artwork. The collection contains approximately 126 images that showcase intricate details, detailed clothing, expressive eyes, and cinematic lighting. The images range from portraits to full-body shots, with an emphasis on luxurious and fashionable clothing in anime-inspired art styles.
+
+- **Curated by**: Mimi.
+- **License**: MIT
+- **Language(s)**: None 
+
+### Dataset Sources
+
+- **Repository**: []
+- **Paper**: []
+- **Demo**: []
+
+## Uses
+
+### Direct Use
+
+The images in this dataset are intended for use in training generative models, such as those designed for anime-style art generation, style transfer, or image-to-image tasks. The dataset is well-suited for training models that require high-definition, realistic, and detailed artwork, especially with an emphasis on fashion and expressive eyes.
+
+### Out-of-Scope Use
+
+This dataset is not intended for generating inappropriate or harmful content. Users should avoid using it for malicious purposes or anything that promotes harm or exploitation.
+
+## Dataset Structure
+
+The dataset contains images that vary in resolution but all follow the consistent style of anime realism with a focus on detailed clothing, expressive eyes, and realistic shading.
+
+- **Image format**: PNG/JPEG (mention the formats you're using)
+- **Metadata**: [If there’s metadata with each image, include how that’s structured—e.g., each image has a corresponding label]
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was curated to provide a high-quality resource for training models that generate or refine anime-style artwork. It includes a diverse range of character designs with intricate details, such as fine textures, luxurious clothing, and expressive emotions.
+
+### Source Data
+
+The images were created by [Archeon] or sourced from various artistic sources, ensuring all artwork adheres to the specified anime realism style.
+
+#### Data Collection and Processing
+
+The images were selected based on their adherence to the following criteria:
+- High-quality art style
+- Detailed clothing and fine textures
+- Emphasis on expressive features and cinematic lighting
+- Consistency in style across the images
+
+### Annotations [Optional]
+
+If you haven’t added annotations or labels, you can skip this section. Otherwise, explain any annotations you’ve applied to the images (e.g., style tags, categories, etc.).
+
+#### Annotation Process
+
+[Provide information if you have manually labeled the data or if you’ve used tools to label specific aspects of the artwork.]
+
+#### Who are the annotators?
+
+[Mimi]
+
+### Personal and Sensitive Information
+
+This dataset does not contain personal, sensitive, or private information.
+
+## Bias, Risks, and Limitations
+
+### Bias
+
+The dataset focuses on anime-style artwork, which may limit its diversity in terms of artistic styles or cultural representation. Users should be aware that the dataset is curated to fit a specific genre and may not represent all forms of anime or artwork.
+
+### Risks
+
+The dataset should not be used to generate inappropriate or harmful content. As the images are artistic in nature, users should ensure that the generated content aligns with ethical and respectful standards.
+
+## Citation
+
+If you don’t have a related paper or blog post, you can leave this section blank. If you do, you can add it here.
+
+**BibTeX:**
+
+[]
+
+**APA:**
+
+[]
+
+## Glossary [Optional]
+
+[]
+
+---
+