---
license: cc-by-nc-4.0
language:
- en
tags:
- LLM,
- MultiTurn,
- Synthetic,
- Corpora,
- Microcontroller,
- Arduino
size_categories:
- 1K<n<10K
---
Dataset Description
Repository: Arduino Project Generator Code

Author: Cameron Jones


Dataset Summary
This dataset has no affiliation with the Arduino brand. It contains synthetic conversation examples generated by a Java-based Arduino project suggestion system. Each conversation follows a structured format where:

The full generator code is available for purchase at: https://datadeveloper1.gumroad.com/l/xscay

A user interacts with a bot

Provides their experience level (Beginner/Intermediate/Advanced)

Selects a project category

Receives a tailored Arduino project recommendation

The full generator code capable of producing 100,000+ variations is available for purchase.

Supported Tasks
This dataset is designed for:

Training conversational AI assistants for technical project recommendations

Generating Arduino project ideas based on user skill level

Educational applications for electronics and maker education

Dataset Structure
Each example contains:

Simulated conversation with greeting

Experience level selection

Category selection from 7 domains

Detailed project recommendation including:

Project name

Required components

Description

Learning rationale

Categories
Projects are organized into 7 main categories with 3 subcategories each:

Visual Projects

Interactive Art

LED Displays

Light Installations

Audio Projects

Audio Projects

Music Controllers

Sound Installations

Robotics

Robotics

Drones

Automated Vehicles

IoT

Home Automation

IoT Devices

Smart Home

Scientific

Environmental Monitoring

Scientific Instruments

Data Logging

Wearable Tech

Wearable Tech

Health Monitoring

Fashion Tech

Game Development

Game Controllers

Interactive Games

Arcade Machines

Dataset Creation

Initial Data Source: Programmatically generated using Java code

Data Generation Process:

Random selection from predefined templates

Contextual project matching based on user inputs

Natural language variations for conversational flow

Personal and Sensitive Information
This dataset contains no real personal information. All names and interactions are synthetically generated.

Considerations for Using the Data
Dataset Limitations
Projects are suggestions only - actual implementation may require adjustments

Component lists may need supplementation based on availability

Safety considerations for projects are not included


Dataset Access
How to Get the Data
The example subset is available via [Hugging Face Datasets]. The full generator code is available for purchase at: https://datadeveloper1.gumroad.com/l/xscay