README.md

---
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 Logo](./assets/hocr.png)

# 📄 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")
```