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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: text |
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dtype: string |
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splits: |
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num_examples: 5000 |
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download_size: 93767992416 |
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dataset_size: 93769079448.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train_shard_000 |
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path: data/train_shard_000-* |
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- split: train_shard_001 |
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path: data/train_shard_001-* |
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- split: train_shard_002 |
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path: data/train_shard_002-* |
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- split: train_shard_003 |
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path: data/train_shard_003-* |
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- split: train_shard_004 |
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path: data/train_shard_004-* |
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- split: train_shard_005 |
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path: data/train_shard_005-* |
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- split: train_shard_006 |
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path: data/train_shard_006-* |
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- split: train_shard_007 |
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path: data/train_shard_007-* |
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- split: train_shard_008 |
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path: data/train_shard_008-* |
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- split: train_shard_009 |
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path: data/train_shard_009-* |
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- split: train_shard_010 |
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path: data/train_shard_010-* |
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- split: train_shard_011 |
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path: data/train_shard_011-* |
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- split: train_shard_012 |
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path: data/train_shard_012-* |
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- split: train_shard_013 |
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path: data/train_shard_013-* |
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- split: train_shard_014 |
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path: data/train_shard_014-* |
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- split: train_shard_015 |
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path: data/train_shard_015-* |
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- split: train_shard_016 |
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path: data/train_shard_016-* |
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- split: train_shard_017 |
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path: data/train_shard_017-* |
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- split: train_shard_018 |
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path: data/train_shard_018-* |
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- split: train_shard_019 |
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path: data/train_shard_019-* |
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- split: train_shard_020 |
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path: data/train_shard_020-* |
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- split: train_shard_021 |
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path: data/train_shard_021-* |
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- split: train_shard_022 |
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path: data/train_shard_022-* |
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- split: train_shard_023 |
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path: data/train_shard_023-* |
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- split: train_shard_024 |
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path: data/train_shard_024-* |
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- split: train_shard_025 |
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path: data/train_shard_025-* |
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- split: train_shard_026 |
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path: data/train_shard_026-* |
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- split: train_shard_027 |
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path: data/train_shard_027-* |
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- split: train_shard_028 |
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path: data/train_shard_028-* |
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- split: train_shard_029 |
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path: data/train_shard_029-* |
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- split: train_shard_030 |
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path: data/train_shard_030-* |
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pretty_name: tamily 1 |
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language: |
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- ta |
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source_datasets: |
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- sasicodes/solvari-1 |
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task_categories: |
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- image-to-text |
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tags: |
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- Vaṭṭeḻuttu |
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--- |
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# Tamily-1: Ancient Tamil OCR Synthetic Dataset |
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## Description |
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- **Repository:** [sasicodes/tamily-1](https://huggingface.co/datasets/sasicodes/tamily-1) |
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- **Point of Contact:** [@sasicodes](https://huggingface.co/sasicodes) |
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### Summary |
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Tamily-1 is an ancient Tamil OCR synthetic dataset generated from the first 200,000 rows of [Solvari-1](https://huggingface.co/datasets/sasicodes/solvari-1), a large Tamil text corpus. The dataset contains rendered images of Tamil text with various augmentations and styles, making it suitable for training OCR models. |
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### Fields |
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- `image`: PNG image of rendered Tamil text |
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- `text`: Original Tamil text |
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### Data Splits |
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The dataset is split into shards of 5,000 samples each, named as `train_shard_XXX`. |
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#### Annotation process |
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Each text is rendered with: |
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- Random paper style (Palm Leaf, Pale Palm Leaf, Red Stone, White Stone, Paper) |
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- Random background style (No Lines, With Lines, Blurred, With Lines and Noise) |
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- Random augmentation (Rotation, Perspective, Stain, Ink Bleed) |
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### License |
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MIT License |
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```bibtex |
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@misc{tamily-1, |
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author = {sasicodes}, |
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title = {Tamily-1: Ancient Tamil OCR Synthetic Dataset}, |
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year = {2025}, |
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publisher = {Hugging Face}, |
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journal = {Hugging Face Hub}, |
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howpublished = {\url{https://huggingface.co/datasets/sasicodes/tamily-1}} |
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} |
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``` |
