README.md

metadata

license: apache-2.0
language:
  - en
pretty_name: PCEval
tags:
  - benchmark
  - physical-computing
  - arduino
  - esp32
  - circuit-design
  - code-generation

PCEval Dataset

PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models

This is the dataset accompanying the paper “PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models,” accepted at NeurIPS 2026.

Authors: Inpyo Song, Eunji Chon, Jangwon Lee
Affiliation: Intelligence and Interactive Systems Lab, Sungkyunkwan University

Overview

PCEval evaluates large language models on physical computing tasks, including logical circuit generation, physical breadboard layout generation, and code generation. Each project provides a natural language description, circuit diagrams, source code, and an automated test scenario.

Projects are organized into four complexity levels:

• Level 1: Single component behavior verification.
• Level 2: Handling changing input values.
• Level 3: Component state changes based on inputs.
• Level 4: Creative projects combining multiple components.

Project Structure

Place the downloaded project files in the code repository's projects/ directory:

PCEval-Source/
├── README.md
├── src/
├── wokwi-cli/
└── projects/
    ├── arduino/
    │   ├── level1/
    │   │   └── {project_name}/
    │   │       ├── description.md          # Project requirements
    │   │       ├── diagram.json            # Logical circuit
    │   │       ├── diagram_breadboard.json # Physical breadboard layout
    │   │       ├── scenario.yaml           # Automated test scenario
    │   │       ├── platformio.ini          # Build configuration
    │   │       ├── wokwi.toml              # Simulation configuration
    │   │       └── src/
    │   │           └── main.ino            # Project source code
    │   ├── level2/
    │   ├── level3/
    │   └── level4/
    └── esp32/
        └── ...

Usage

1. Get the code:

   git clone https://github.com/eunjichon/PCEval-Source.git
   cd PCEval-Source
   

2. Download the dataset and place the project files under projects/, as shown above.
3. Set up the environment by following How to start. Install PlatformIO and the modified Wokwi CLI from the GitHub Releases, add the CLI to your PATH, and set your WOKWI_CLI_TOKEN.
4. Build and test a project:

   cd projects/arduino/level1/led_blink_basic
   pio run
   wokwi-cli . --scenario scenario.yaml --diagram-file diagram.json
   # To test the physical breadboard layout:
   wokwi-cli . --scenario scenario.yaml --diagram-file diagram_breadboard.json
   

For evaluation scripts and experiment instructions, see the code repository and its source documentation.