---
license: apache-2.0
task_categories:
  - image-to-image
tags:
  - lance
  - pcb-routing
  - flux
size_categories:
  - n<1K
---

# Zero-Obstacle High-Density PCB Routing Dataset (z01)

Image-to-image dataset for fine-tuning Flux 2 Klein 4B to route PCB traces.

## Task

Given a **connection-pairs** image showing color-matched pin pairs on a 10x10 mm
board, produce a **routed** image with traces connecting each pair.

**Edit instruction:**
> Route the traces between the color matched pins, using red for the top layer and blue for the bottom layer.  Add vias to keep traces of the same color from crossing.

## Format

Lance dataset with the following columns:

| Column | Type | Description |
|--------|------|-------------|
| `id` | string | Sample identifier (e.g. `sample-000001`) |
| `input_image` | large_binary | Connection-pairs PNG |
| `output_image` | large_binary | Routed PNG |
| `edit_instruction` | string | The edit instruction |

## Splits

| Split | Samples |
|-------|---------|
| train | 71 |
| test  | 18 |

## Usage

```python
import lance

# Load from HuggingFace
train = lance.dataset("hf://datasets/makeshifted/zero-obstacle-high-density-z01/data/train.lance")
test  = lance.dataset("hf://datasets/makeshifted/zero-obstacle-high-density-z01/data/test.lance")

# Read a sample
row = train.take([0]).to_pylist()[0]
print(row["id"], row["edit_instruction"])

# Save the images
with open("input.png", "wb") as f:
    f.write(row["input_image"])
with open("output.png", "wb") as f:
    f.write(row["output_image"])
```