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Datasets:
sasicodes
/
tamily-1

Tasks:
Image-to-Text
Image Feature Extraction
Modalities:
Image
Text
Formats:
parquet
Languages:
Tamil
Size:
100K - 1M
Tags:
Vaṭṭeḻuttu
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
 Community
2
tamily-1
File size: 4,117 Bytes
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---
license: mit
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
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    num_bytes: 3084316377
    num_examples: 5000
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  - name: train_shard_017
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  download_size: 54475412937
  dataset_size: 54476042792
configs:
- config_name: default
  data_files:
  - split: train_shard_000
    path: data/train_shard_000-*
  - split: train_shard_001
    path: data/train_shard_001-*
  - split: train_shard_002
    path: data/train_shard_002-*
  - split: train_shard_003
    path: data/train_shard_003-*
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    path: data/train_shard_004-*
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    path: data/train_shard_008-*
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    path: data/train_shard_010-*
  - split: train_shard_011
    path: data/train_shard_011-*
  - split: train_shard_012
    path: data/train_shard_012-*
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    path: data/train_shard_013-*
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    path: data/train_shard_014-*
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    path: data/train_shard_015-*
  - split: train_shard_016
    path: data/train_shard_016-*
  - split: train_shard_017
    path: data/train_shard_017-*
pretty_name: tamily 1
language:
- ta
source_datasets:
- sasicodes/solvari-1
task_categories:
- image-to-text
tags:
- vattelettu
---


# Tamily-1: Ancient Tamil OCR Synthetic Dataset

## 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 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, Coffee 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}}
}
```