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