---
license: apache-2.0
task_categories:
- text-to-image
language:
- en
tags:
- text-rendering
- ocr
- synthetic-data
- generative-models
- fine-tuning
size_categories:
- 1M<n<10M
pretty_name: Text Render 2M
---

# Text Render 2M Dataset

A large-scale dataset containing 2 million text rendering image-text pairs for training generative models to improve text rendering performance.

## Dataset Structure

- **`image`**: Rendered text image in PNG format
- **`text`**: Corresponding text content
- **`file_name`**: Original filename
- **`folder_id`**: Folder identifier

## Usage

This dataset is designed for fine-tuning generative models to improve text rendering capabilities.

```python
from datasets import load_dataset

dataset = load_dataset("PosterCraft/Text-Render-2M")
print(dataset)

# Access a sample
sample = dataset['train'][0]
print(sample['text'])
sample['image'].show()
```

## Applications

- Fine-tuning text-to-image models for better text rendering

## License

Apache License 2.0