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---
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language:
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- en
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- hi
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- kn
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- ta
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- te
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- mr
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- pa
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- bn
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- or
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- ml
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- gu
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- sa
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- ja
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- ko
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- zh
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- de
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- fr
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- it
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- ru
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- ar
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- es
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- th
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multilinguality: multilingual
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task_categories:
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- image-to-text
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- object-detection
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pretty_name: NayanaBench Rendered Dataset
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size_categories:
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- 1K<n<10K
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tags:
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- ocr
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- text-rendering
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- multilingual
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- document-analysis
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---
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# NayanaBench Rendered Dataset
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## Dataset Description
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This dataset contains 2D rendered text images for document analysis and OCR tasks across 22 languages.
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Each language split contains document images with text rendered in bounding boxes using authentic fonts.
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### Dataset Statistics
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- **Total Samples**: 4,400
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- **Languages**: 22
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- **Splits**: 22 language-based splits
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### Language Splits
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| Language | Code | Samples |
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|----------|------|---------|
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| EN | `en` | 200 |
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| HI | `hi` | 200 |
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| KN | `kn` | 200 |
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| TA | `ta` | 200 |
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| TE | `te` | 200 |
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| MR | `mr` | 200 |
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| PA | `pa` | 200 |
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| BN | `bn` | 200 |
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| OR | `or` | 200 |
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| ML | `ml` | 200 |
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| GU | `gu` | 200 |
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| SA | `sa` | 200 |
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| JA | `ja` | 200 |
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| KO | `ko` | 200 |
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| ZH | `zh` | 200 |
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| DE | `de` | 200 |
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| FR | `fr` | 200 |
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| IT | `it` | 200 |
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| RU | `ru` | 200 |
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| AR | `ar` | 200 |
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| ES | `es` | 200 |
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| TH | `th` | 200 |
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## Dataset Structure
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### Data Fields
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- `image`: The rendered document image
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- `image_id`: Unique identifier for the sample
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- `language`: Language code (ISO 639-1)
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- `font_used`: Font file used for rendering
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- `num_regions`: Number of text regions in the image
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- `regions`: JSON string containing region metadata (bounding boxes, text content)
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### Data Splits
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This dataset has 22 splits, one per language. Each split can be loaded separately:
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```python
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from datasets import load_dataset
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# Load a specific language
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dataset = load_dataset("ranjanhr1/nayana_rendered", split="en")
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# Load multiple languages
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dataset_dict = load_dataset("ranjanhr1/nayana_rendered")
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# Load specific languages
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en_data = load_dataset("ranjanhr1/nayana_rendered", split="en")
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hi_data = load_dataset("ranjanhr1/nayana_rendered", split="hi")
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```
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## Dataset Creation
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This dataset was created by rendering text onto document images using authentic fonts for each language.
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The rendering process uses:
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- Tight canvas rendering (exact bounding box size)
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- Optimal font size calculation
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- Multi-line text wrapping
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- Centered text alignment
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### Source Dataset
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Based on [Nayana-cognitivelab/NayanaBench](https://huggingface.co/datasets/Nayana-cognitivelab/NayanaBench)
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## Citation
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If you use this dataset, please cite:
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```bibtex
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@dataset{nayana_rendered,
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title={NayanaBench Rendered Dataset},
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author={Your Name},
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year={2025},
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publisher={Hugging Face},
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url={https://huggingface.co/datasets/ranjanhr1/nayana_rendered}
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}
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```
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## License
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Please refer to the original NayanaBench dataset for licensing information.
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