|
--- |
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language: |
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- fa |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- image-to-image |
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pretty_name: ParsynthOCR-200K |
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tags: |
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- hezar |
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dataset_info: |
|
features: |
|
- name: image_path |
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dtype: image |
|
- name: text |
|
dtype: string |
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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 |
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data_files: |
|
- split: train |
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path: data/train-* |
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- 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). |
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|
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# Usage |
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## 🤗 Datasets |
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```python |
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from datasets import load_dataset |
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|
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dataset = load_dataset("hezarai/parsynth-ocr-200k") |
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``` |
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|
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## Hezar |
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``` |
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pip install hezar |
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``` |
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```python |
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from hezar.data import Dataset |
|
|
|
dataset = Dataset.load("hezarai/parsynth-ocr-200k", split="train") |
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``` |
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|
