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license: apache-2.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype: image
- name: comment
dtype: string
- name: content
dtype: string
- name: source
dtype: string
splits:
- name: test
num_bytes: 35550442.0
num_examples: 82
download_size: 35340425
dataset_size: 35550442.0
---
<div align="center">
# 📄 HOCR: Hard OCR Samples for evaluating OCR models
</div>
This dataset contains a few samples of real world documents that are hard for OCR models to parse properly — collected from various sources.
## Usage
You can load up the dataset via Huggingface's `datasets` library and use it as you see fit.
```python
from datasets import load_dataset
dataset = load_dataset("chonkie-ai/hocr", split="train")
```
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