Text-to-Image Instructional Dataset
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About
This dataset provides around 70,000 summarized text-to-image prompts designed to enhance the creation of instruction-tuned models for stable diffusion and other generative AI applications. Each row contains a short image description and a corresponding detailed prompt formatted for use in stable diffusion. The dataset is valuable for training AI models to generate detailed and coherent prompts from simplified descriptions, facilitating the development of creative AI applications.
Dataset Features
- SD_ID: A unique identifier for each prompt.
- x (Short Description): A concise description of the desired image.
- y (Full Prompt): A detailed, structured prompt formatted for Stable Diffusion.
Distribution
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Data Volume:
- Total Rows: 73,718 rows
- Columns: 3 (SD_ID, x, y)
- Structure: Tabular format (CSV) with separate train and test splits for ease of use in model training and evaluation.
Usage
This dataset is ideal for:
- Prompt Engineering: Developing and fine-tuning text-to-image generative models.
- AI Model Training: Instruction tuning of large language models for creative tasks.
- Creative Applications: Building apps that generate detailed prompts from simple user inputs.
- Research: Studying the relationship between concise descriptions and detailed generative instructions.
Coverage
- Geographic Coverage: Global (data derived from diverse internet sources).
- Time Range: Data generated and collected in 2024.
License
CC0
Who Can Use It
- Data Scientists: For training machine learning models in generative AI.
- Researchers: For exploring advancements in text-to-image generation and instruction tuning.
- Businesses: For developing creative AI-powered applications.
- Developers: For building AI systems capable of generating detailed prompts from concise user input.
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