---license: mit task_categories: - text-to-image - unconditional-image-generation language: - en - es tags: - finance - biology - chemistry - code - art - synthetic pretty_name: My Auto-Tune Dataset πŸ–ΌοΈπŸŽ¨ size_categories: - n>1T --- --- ~~~ # πŸ“„ Dataset Card for **My Auto-Tune Dataset** --- ### πŸ“š **Dataset Summary** πŸš€ This dataset is designed to fine-tune models for generating high-quality images from text prompts. Whether you're into **art**, **synthetic data**, or **creative AI**, this dataset is your go-to source for automatic image generation! πŸŒπŸ–ŒοΈ --- ## 🧩 **Dataset Details** ### πŸ” **Description** πŸ”§ This dataset includes a massive collection of text-image pairs to train and fine-tune text-to-image models. With **multi-lingual support** (English & Spanish) 🌍, it's perfect for applications in fields such as **finance**, **biology**, **chemistry**, and even **code-based art generation**! πŸ’ΈπŸ§¬βš›οΈπŸ‘Ύ --- ### πŸ”„ **Dataset Sources** - **Repository**: [nivin-ai/faq_embeddings](https://huggingface.co/nivin-ai/faq_embeddings) - **Paper [optional]**: Currently, there is no associated paper πŸ“„. - **Demo [optional]**: Coming soon! 🚧 --- ## πŸ’‘ **Intended Uses** ### βœ… **Direct Use** - Fine-tuning models for **text-to-image** generation 🎨. - Building **creative AI systems** for generating unique visuals πŸ–ΌοΈ. - Developing models in **art, synthetic data**, and **finance** contexts πŸ’°. ### 🚫 **Out-of-Scope Use** - ⚠️ **Do not use** this dataset for generating harmful, explicit, or misleading content. - Avoid applications in **real-time decision-making systems** where accuracy is critical πŸ›‘. --- ## πŸ—οΈ **Dataset Structure** - **File Types**: `.jsonl` for text-image pairs πŸ—‚οΈ. - **Splits**: Train and validation splits are defined as follows: - `train/`: 80% of the data πŸ‹οΈβ€β™‚οΈ - `validation/`: 20% for model evaluation πŸ§ͺ --- ## βš™οΈ **Dataset Creation Process** ### 🎯 **Curation Rationale** The dataset was developed to empower **researchers and developers** to create state-of-the-art **text-to-image generation models**. It's optimized for **large-scale projects** requiring high-quality visual outputs πŸš€. ### πŸ—οΈ **Source Data** - **Collection Process**: Scraped from **open-source** text and image databases πŸ“‚. - **Processing**: All text entries were normalized, and images were resized for consistent input dimensions πŸ–ΌοΈ. --- ### ✏️ **Annotations** - **Annotation Process**: Annotations include descriptions and metadata for images 🌟. - **Annotators**: Curated by experts in **AI, finance, and art** domains πŸŽ“. - **Tools Used**: Hugging Face’s `datasets` library and custom Python scripts 🐍. --- ## πŸ” **Bias, Risks, and Limitations** While this dataset aims to provide **neutral and creative** content, users should be aware that: - It may contain **biases inherent** in its source data 🧐. - The dataset should not be used for generating **inappropriate or offensive** content 🚫. - May not be suitable for **mission-critical applications** (e.g., medical, legal, or financial advice) ⚠️. --- ### 🌟 **Recommendations** - Always evaluate model outputs for **biases** and **inaccuracies** before deployment. - Use responsibly, especially if integrating with sensitive applications πŸ’Ό. --- ## πŸ”— **Citations** If you use this dataset, please cite: ```bibtex @misc{my_auto_tune_dataset_2024, title={My Auto-Tune Dataset}, author={Derrick Adkison, Kumplex Media Holdings Group LLC}, year={2024}, url={https://huggingface.co/nivin-ai/faq_embeddings}, license={MIT} } ~~~ --- ## πŸ“ž Contact Information Author: Derrick Adkison Organization: Kumplex Media Holdings Group LLC Email: derricka59@aol.com Alternate Email: derrick@a20.5cloudhost.com Phone: +1 253-293-2802 ☎️ --- πŸ“– Glossary --- πŸ” More Information For any questions, open an issue on the GitHub repository or contact us directly πŸ“§. --- πŸ€– Dataset Card Authors Derrick Adkison Contributors: Hugging Face Community πŸ§‘β€πŸ€β€πŸ§‘ --- This dataset card covers all essential fields and includes fun, emoji-filled explanations to make it engaging for users. Let me know if you need more tweaks or additional fields!