Dataset Card for Ghibli-style-morocco-dataset

Dataset Summary

This dataset contains 10 carefully curated image-text pairs designed to capture Moroccan cultural elements in the style of Studio Ghibli animations. The dataset was created to train a LoRA model for generating Moroccan-themed images with Ghibli's distinctive aesthetic.

Supported Tasks and Leaderboards

• Task: Text-to-Image Generation
• Style Transfer: Ghibli-style interpretation of Moroccan cultural scenes

Languages

The dataset contains English text prompts.

Dataset Structure

Data Instances

Each instance consists of:

• An image
• A corresponding text prompt describing the scene

Data Fields

• image: The image file
• imagewidth: Width of the image in pixels
• text: The prompt describing the scene

Data Splits

The dataset consists of a single split with 10 training examples.

Dataset Creation

Curation Rationale

The dataset was created to:

1. Capture authentic Moroccan cultural elements
2. Combine them with Ghibli's artistic style
3. Create a specialized model for Moroccan-Ghibli style image generation

Source Data

Initial Data Collection and Normalization

Images were generated using a combination of:

1. Curated Moroccan-themed prompts
2. Ghibli-style reinterpretation using AI tools

Who are the source language producers?

The prompts were created by the AtlasIA team, focusing on authentic Moroccan cultural elements.

Annotations

Annotation process

Each image-text pair was manually curated and verified for:

• Cultural accuracy
• Style consistency
• Prompt clarity

Who are the annotators?

The dataset was annotated by the AtlasIA team.

Personal and Sensitive Information

The dataset does not contain any personal or sensitive information.

Considerations for Using the Data

Social Impact of Dataset

This dataset aims to:

• Preserve and promote Moroccan cultural heritage
• Create a bridge between traditional culture and modern AI art
• Provide a resource for culturally-aware AI image generation

Discussion of Biases

The dataset focuses specifically on Moroccan cultural elements and may not represent the full diversity of Moroccan culture.

Other Known Limitations

• Limited to 10 examples
• Focused primarily on architectural and scenic elements
• May not capture all aspects of Moroccan culture

Additional Information

Dataset Curators

• AtlasIA Team

Licensing Information

This dataset is released under the MIT license.

Citation Information

@article{atlasia2025Ghibli_Dataset_v1,
  title={Dataset for Training your custom Ghibli Text-to-Image model},
  authors={Abdellah Oumida,Anas Amchaar, Abdelaziz Guelfane, Zaid Chiech, Ibtissam Achoui, Abdeljalil Elmajjodi, Oumayma Essarhi, Mohammed Sbaih},
  year={2025},
  url={https://huggingface.co/datasets/atlasia/Ghibli-style-morocco-dataset}
  organization={AtlasIA}
}

Contributions

Thanks to all contributors who helped create and curate this dataset.

Dataset Card Authors

This dataset card was written by the AtlasIA team.