text-to-image-prompts
Dataset of popular text-to-image prompts in CSV format.
Open dataset Updated 2026-06-18
What is text-to-image-prompts?
The text-to-image-prompts dataset consists of prompts commonly used with text-to-image generation systems. It is provided as a single CSV file and falls in the 10K–100K size range.
Researchers and practitioners in computer vision can use the prompts to study generation patterns, benchmark models, or augment training data for vision tasks.
What you can build with text-to-image-prompts
Prompt pattern analysis
Study recurring structures, keywords, and styles in popular prompts to improve prompt engineering techniques for image generation.
Model fine-tuning data
Leverage the prompts as a training corpus to fine-tune or evaluate text-to-image diffusion models on real user-generated content.
Prompt suggestion tools
Integrate entries into apps or IDE plugins that recommend or autocomplete effective prompts for generative AI users.
Load text-to-image-prompts
Python
from datasets import load_dataset
ds = load_dataset("Kazimir-ai/text-to-image-prompts")- 1pip install datasets
- 2from datasets import load_dataset
- 3ds = load_dataset('kazimir-ai/text-to-image-prompts')
- 4prompts = ds['train']['prompt']
- 5Filter or export the CSV for custom processing
text-to-image-prompts: pros & cons
Pros
- +Real-world popular prompts from user data
- +Apache-2.0 license allows commercial use
- +Simple CSV format via Hugging Face
- +Ready-to-use scale (10k–100k entries)
Cons
- –Exact entry count not specified
- –Lacks quality ratings or categories
- –May reflect only past trends
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Frequently asked questions
A curated collection of popular text-to-image prompts released as a CSV file with 10,000–100,000 entries.
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