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