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--- |
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license: apache-2.0 |
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task_categories: |
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- text-to-image |
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language: |
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- en |
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tags: |
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- text-rendering |
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- ocr |
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- synthetic-data |
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- generative-models |
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- fine-tuning |
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size_categories: |
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- 1M<n<10M |
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pretty_name: Text Render 2M |
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--- |
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# Text Render 2M Dataset |
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A large-scale dataset containing 2 million text rendering image-text pairs for training generative models to improve text rendering performance. |
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## Dataset Structure |
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- **`image`**: Rendered text image in PNG format |
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- **`text`**: Corresponding text content |
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- **`file_name`**: Original filename |
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- **`folder_id`**: Folder identifier |
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## Usage |
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This dataset is designed for fine-tuning generative models to improve text rendering capabilities. |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("PosterCraft/Text-Render-2M") |
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print(dataset) |
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# Access a sample |
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sample = dataset['train'][0] |
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print(sample['text']) |
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sample['image'].show() |
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``` |
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## Applications |
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- Fine-tuning text-to-image models for better text rendering |
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## License |
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Apache License 2.0 |
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