metadata

license: mit
dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
  splits:
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      num_examples: 5000
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    - name: train_shard_026
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  download_size: 81627327972
  dataset_size: 81628262486
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-*
      - split: train_shard_004
        path: data/train_shard_004-*
      - split: train_shard_005
        path: data/train_shard_005-*
      - split: train_shard_006
        path: data/train_shard_006-*
      - split: train_shard_007
        path: data/train_shard_007-*
      - split: train_shard_008
        path: data/train_shard_008-*
      - split: train_shard_009
        path: data/train_shard_009-*
      - split: train_shard_010
        path: data/train_shard_010-*
      - split: train_shard_011
        path: data/train_shard_011-*
      - split: train_shard_012
        path: data/train_shard_012-*
      - split: train_shard_013
        path: data/train_shard_013-*
      - split: train_shard_014
        path: data/train_shard_014-*
      - split: train_shard_015
        path: data/train_shard_015-*
      - split: train_shard_016
        path: data/train_shard_016-*
      - split: train_shard_017
        path: data/train_shard_017-*
      - split: train_shard_018
        path: data/train_shard_018-*
      - split: train_shard_019
        path: data/train_shard_019-*
      - split: train_shard_020
        path: data/train_shard_020-*
      - split: train_shard_021
        path: data/train_shard_021-*
      - split: train_shard_022
        path: data/train_shard_022-*
      - split: train_shard_023
        path: data/train_shard_023-*
      - split: train_shard_024
        path: data/train_shard_024-*
      - split: train_shard_025
        path: data/train_shard_025-*
      - split: train_shard_026
        path: data/train_shard_026-*
pretty_name: tamily 1
language:
  - ta
source_datasets:
  - sasicodes/solvari-1
task_categories:
  - image-to-text
tags:
  - Vaṭṭeḻuttu

Tamily-1: Ancient Tamil OCR Synthetic Dataset

Description

Repository: sasicodes/tamily-1
Point of Contact: @sasicodes

Summary

Tamily-1 is an ancient Tamil OCR synthetic dataset generated from the first 200,000 rows of 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

@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}}
}