metadata

language:
  - fa
size_categories:
  - 100K<n<1M
task_categories:
  - image-to-image
pretty_name: ParsynthOCR-200K
tags:
  - hezar
dataset_info:
  features:
    - name: image_path
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 560135371.667
      num_examples: 179999
    - name: test
      num_bytes: 63380889
      num_examples: 20000
  download_size: 568073396
  dataset_size: 623516260.667
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

ParsynthOCR is a synthetic dataset for Persian OCR. This version is a preview of the original 4 million samples dataset (ParsynthOCR-4M).

Usage

🤗 Datasets

from datasets import load_dataset

dataset = load_dataset("hezarai/parsynth-ocr-200k")

Hezar

pip install hezar

from hezar.data import Dataset

dataset = Dataset.load("hezarai/parsynth-ocr-200k", split="train")