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metadata
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

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"])