README.md

---

datasets:
- imagefolder
pretty_name: LM2rulers38squarified
task_categories:
- image-classification
language:
- und
size_categories:
- n<10607
---

# LM2rulers38squarified

Squarified (720px) variant of LM2rulers38. Images organized by ruler_class, split into train/val/test.

## Structure

This repository uses the **imagefolder** format:

LM2rulers38squarified/
train/
<ruler_class>/.jpg
val/
<ruler_class>/.jpg
test/
<ruler_class>/*.jpg
- Classes with fewer than 10 images were **skipped**.
- For all included classes, an **80/10/10** split is created with at least **1 image per split per class** (deterministic shuffling).

## Stats

- Classes included: **20**
- Images: train **8478**, val **1052**, test **1077**

<details>
<summary>Skipped classes (fewer than 10 images)</summary>

None
</details>

## Loading

```python
from datasets import load_dataset

ds = load_dataset("phyloforfun/LM2rulers38squarified")
print(ds)