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---license: mit |
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task_categories: |
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- text-to-image |
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- unconditional-image-generation |
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language: |
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- en |
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- es |
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tags: |
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- finance |
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- biology |
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- chemistry |
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- code |
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- art |
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- synthetic |
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pretty_name: My Auto-Tune Dataset πΌοΈπ¨ |
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size_categories: |
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- n>1T |
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--- |
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--- |
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~~~ |
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# π Dataset Card for **My Auto-Tune Dataset** |
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### π **Dataset Summary** |
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π 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! πποΈ |
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## 𧩠**Dataset Details** |
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### π **Description** |
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π§ 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) π, it's perfect for applications in fields such as **finance**, **biology**, **chemistry**, and even **code-based art generation**! πΈπ§¬βοΈπΎ |
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### π **Dataset Sources** |
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- **Repository**: [nivin-ai/faq_embeddings](https://huggingface.co/nivin-ai/faq_embeddings) |
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- **Paper [optional]**: Currently, there is no associated paper π. |
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- **Demo [optional]**: Coming soon! π§ |
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## π‘ **Intended Uses** |
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### β
**Direct Use** |
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- Fine-tuning models for **text-to-image** generation π¨. |
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- Building **creative AI systems** for generating unique visuals πΌοΈ. |
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- Developing models in **art, synthetic data**, and **finance** contexts π°. |
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### π« **Out-of-Scope Use** |
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- β οΈ **Do not use** this dataset for generating harmful, explicit, or misleading content. |
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- Avoid applications in **real-time decision-making systems** where accuracy is critical π. |
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## ποΈ **Dataset Structure** |
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- **File Types**: `.jsonl` for text-image pairs ποΈ. |
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- **Splits**: Train and validation splits are defined as follows: |
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- `train/`: 80% of the data ποΈββοΈ |
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- `validation/`: 20% for model evaluation π§ͺ |
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## βοΈ **Dataset Creation Process** |
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### π― **Curation Rationale** |
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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 π. |
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### ποΈ **Source Data** |
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- **Collection Process**: Scraped from **open-source** text and image databases π. |
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- **Processing**: All text entries were normalized, and images were resized for consistent input dimensions πΌοΈ. |
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### βοΈ **Annotations** |
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- **Annotation Process**: Annotations include descriptions and metadata for images π. |
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- **Annotators**: Curated by experts in **AI, finance, and art** domains π. |
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- **Tools Used**: Hugging Faceβs `datasets` library and custom Python scripts π. |
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## π **Bias, Risks, and Limitations** |
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While this dataset aims to provide **neutral and creative** content, users should be aware that: |
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- It may contain **biases inherent** in its source data π§. |
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- The dataset should not be used for generating **inappropriate or offensive** content π«. |
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- May not be suitable for **mission-critical applications** (e.g., medical, legal, or financial advice) β οΈ. |
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### π **Recommendations** |
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- Always evaluate model outputs for **biases** and **inaccuracies** before deployment. |
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- Use responsibly, especially if integrating with sensitive applications πΌ. |
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## π **Citations** |
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If you use this dataset, please cite: |
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```bibtex |
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@misc{my_auto_tune_dataset_2024, |
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title={My Auto-Tune Dataset}, |
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author={Derrick Adkison, Kumplex Media Holdings Group LLC}, |
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year={2024}, |
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url={https://huggingface.co/nivin-ai/faq_embeddings}, |
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license={MIT} |
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} |
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~~~ |
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## π Contact Information |
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Author: Derrick Adkison |
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Organization: Kumplex Media Holdings Group LLC |
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Email: [email protected] |
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Alternate Email: [email protected] |
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Phone: +1 253-293-2802 βοΈ |
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π Glossary |
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π More Information |
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For any questions, open an issue on the GitHub repository or contact us directly π§. |
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π€ Dataset Card Authors |
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Derrick Adkison |
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Contributors: Hugging Face Community π§βπ€βπ§ |
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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! |
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