Datasets:
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license: mit
language:
- km
task_categories:
- image-to-text
tags:
- ocr
- khmer-ocr
- benchmark
- synthetic
pretty_name: Khmer Printed Words
size_categories:
- 1K<n<10K
---
# Khmer Printed Words
5,000 synthetic images of short, isolated Khmer words in 10 fonts, with their text. Most training lines are mid-to-long, so this set tests short input.
It is the "Printed Words" test set in the [Netra OCR](https://github.com/netra-ai-lab/Netra-OCR) results, which use its first 500 lines.
| Column | |
| --- | --- |
| `image` | the word image |
| `label` | its text |
| `file_name` | the original file name |
## Use
```python
from datasets import load_dataset
ds = load_dataset("Netra-Lab/khmer-printed-words", split="train")
```
With the Netra OCR repository, the `printed-words` preset scores any model on it:
```bash
bash training/evaluate.sh published --test printed-words
bash training/evaluate.sh published --test Netra-Lab/khmer-printed-words:train[:500] # as in the results
```
## License
MIT. Made by Netra Lab.
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