| | --- |
| | 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 |
| |
|
