| --- |
| 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. |
|
|
