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Add n8n workflow training datasets (3 formats)

This dataset contains 4,000+ training examples extracted from 6,837 publicly available n8n workflows from the n8n marketplace. The data is designed for fine-tuning Large Language Models to generate n8n workflow configurations from natural language descriptions.

Dataset Contents

Three format variations:

training_data_alpaca.json - Alpaca format for Llama/Mistral models
- Format: instruction-input-output triplets
- Use case: Fine-tuning with Unsloth, Axolotl, or similar frameworks
training_data_openai.jsonl - OpenAI format for GPT models
- Format: messages array with system/user/assistant roles
- Use case: OpenAI fine-tuning API
training_data_simple.json - Simplified format
- Format: Basic instruction-output pairs
- Use case: Custom training pipelines or quick prototyping

Data Statistics

Total examples: 4,000+
Source workflows: 6,837 from n8n marketplace
Coverage: Diverse workflow types (AI, automation, integrations, data processing)
Quality: Cleaned, validated, and structured

Sample Format (Alpaca)

{
  "instruction": "Create an n8n workflow for: AI Email Assistant",
  "input": "",
  "output": {
    "name": "AI Email Assistant",
    "nodes": [
      {"type": "Gmail Trigger"},
      {"type": "OpenAI Chat Model"},
      {"type": "Gmail"}
    ],
    "node_count": 3,
    "categories": ["AI", "Communication"]
  }
}

Use Case

This dataset was used to successfully fine-tune Llama 3 8B for n8n workflow generation. The resulting model can generate valid workflow configurations from natural language descriptions.

Training Results

Model: Llama 3 8B (4-bit quantized)
Training time: 55 minutes on A100 GPU
Final loss: 1.235900
Inference quality: Production-ready

Data Collection Methodology

Scraped n8n marketplace via public API
Extracted workflow metadata and node structures
Generated instruction-output pairs
Validated JSON structure and data quality
Formatted for multiple training frameworks

License & Attribution

Source: n8n marketplace (public workflows)
Created by: Mustapha Liaichi
Project: n8n Workflow Generator
Website: n8nlearninghub.com
GitHub: MuLIAICHI

Citation

If you use this dataset, please cite:

@dataset{liaichi2024n8nworkflows,
  author = {Mustapha Liaichi},
  title = {n8n Workflow Training Dataset},
  year = {2024},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/MustaphaL/n8n-workflow-training-data}
}

Related Resources

Model: MustaphaL/n8n-workflow-generator
Analysis: "What Are People Actually Building in n8n?" (Medium)
Tool: n8n Marketplace Analyzer (Apify)
Community: r/n8nLearningHub

Future Updates

This dataset may be updated periodically with:

Additional workflows from marketplace
Enhanced metadata and categorization
Multi-language workflow descriptions
Advanced workflow patterns

For questions or collaboration: mustaphaliaichi@gmail.com
Check the Actor on Apify for fresh data training : Get fresh data
Check the full story : read me

Datasets:

MustaphaL
/

training_data_n8n_workflows