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README.md
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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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- name: train_shard_034
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num_bytes: 3070462057.0
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num_examples: 5000
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download_size: 3070433781
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dataset_size: 3070462057.0
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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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configs:
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- config_name: default
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data_files:
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- split: train_shard_034
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path: data/train_shard_034-*
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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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```
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