---
license: mit
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
configs:
- config_name: "0-5000"
  data_files: data/train_shard_000-*
- config_name: "5000-10000"
  data_files: data/train_shard_001-*
- config_name: "10000-15000"
  data_files: data/train_shard_002-*
- config_name: "15000-20000"
  data_files: data/train_shard_003-*
- config_name: "20000-25000"
  data_files: data/train_shard_004-*
- config_name: "25000-30000"
  data_files: data/train_shard_005-*
- config_name: "30000-35000"
  data_files: data/train_shard_006-*
- config_name: "35000-40000"
  data_files: data/train_shard_007-*
- config_name: "40000-45000"
  data_files: data/train_shard_008-*
- config_name: "45000-50000"
  data_files: data/train_shard_009-*
- config_name: "50000-55000"
  data_files: data/train_shard_010-*
- config_name: "55000-60000"
  data_files: data/train_shard_011-*
- config_name: "60000-65000"
  data_files: data/train_shard_012-*
- config_name: "65000-70000"
  data_files: data/train_shard_013-*
- config_name: "70000-75000"
  data_files: data/train_shard_014-*
- config_name: "75000-80000"
  data_files: data/train_shard_015-*
- config_name: "80000-85000"
  data_files: data/train_shard_016-*
- config_name: "85000-90000"
  data_files: data/train_shard_017-*
- config_name: "90000-95000"
  data_files: data/train_shard_018-*
- config_name: "95000-100000"
  data_files: data/train_shard_019-*
- config_name: "100000-105000"
  data_files: data/train_shard_020-*
- config_name: "105000-110000"
  data_files: data/train_shard_021-*
- config_name: "110000-115000"
  data_files: data/train_shard_022-*
- config_name: "115000-120000"
  data_files: data/train_shard_023-*
- config_name: "120000-125000"
  data_files: data/train_shard_024-*
- config_name: "125000-130000"
  data_files: data/train_shard_025-*
- config_name: "130000-135000"
  data_files: data/train_shard_026-*
- config_name: "135000-140000"
  data_files: data/train_shard_027-*
- config_name: "140000-145000"
  data_files: data/train_shard_028-*
- config_name: "145000-150000"
  data_files: data/train_shard_029-*
- config_name: "150000-155000"
  data_files: data/train_shard_030-*
- config_name: "155000-160000"
  data_files: data/train_shard_031-*
- config_name: "160000-165000"
  data_files: data/train_shard_032-*
- config_name: "165000-170000"
  data_files: data/train_shard_033-*
- config_name: "170000-175000"
  data_files: data/train_shard_034-*
- config_name: "175000-180000"
  data_files: data/train_shard_035-*
- config_name: "180000-185000"
  data_files: data/train_shard_036-*
- config_name: "185000-190000"
  data_files: data/train_shard_037-*
- config_name: "190000-195000"
  data_files: data/train_shard_038-*
- config_name: "195000-200000"
  data_files: data/train_shard_039-*
pretty_name: tamily 1
language:
- ta
source_datasets:
- sasicodes/solvari-1
task_categories:
- image-to-text
- image-feature-extraction
tags:
- Vaṭṭeḻuttu
size_categories:
- 100K<n<1M
---

# Tamily-1: Ancient Tamil OCR Synthetic Dataset

Tamizhi "தமிழி"

## Description

- **Repository:** [sasicodes/tamily-1](https://huggingface.co/datasets/sasicodes/tamily-1)
- **Point of Contact:** [@sasicodes](https://huggingface.co/sasicodes)

### Summary

Tamily-1 is an ancient [Tamil](https://en.wikipedia.org/wiki/Tamil_language) 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.

### Fields

- `image`: PNG image of rendered Tamil text
- `text`: Original Tamil text

### Data Splits

The dataset is split into shards of 5,000 samples each, named as `train_shard_XXX`.

Annotation process

Each text is rendered with:
- Random paper style (Palm Leaf, Pale Palm Leaf, Red Stone, White Stone, Paper)
- Random background style (No Lines, With Lines, Blurred, With Lines and Noise)
- Random augmentation (Rotation, Perspective, Stain, Ink Bleed)

### License

MIT License

```bibtex
@misc{tamily-1,
  author = {sasicodes},
  title = {Tamily-1: Ancient Tamil OCR Synthetic Dataset},
  year = {2025},
  publisher = {Hugging Face},
  journal = {Hugging Face Hub},
  howpublished = {\url{https://huggingface.co/datasets/sasicodes/tamily-1}}
}
```