---
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: 63380889.0
    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
```python
from datasets import load_dataset

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

## Hezar
```
pip install hezar
```
```python
from hezar.data import Dataset

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