webman/n8nbuilder-n8n-workflows-dataset

n8n Workflow Templates Dataset

A curated collection of n8n workflow automation templates formatted for LLM fine-tuning in multiple formats.

Dataset Description

This dataset contains 2,737 n8n workflow templates from the official n8n template library, formatted in multiple formats for fine-tuning LLMs to generate n8n workflows.

Available Formats

1. Alpaca Format (train split)

   • Traditional instruction-input-output format
   • Compatible with Axolotl and other Alpaca-based training frameworks

2. OpenAI Messages Format (train_openai split)

   • Chat-based format with role-based messages
   • Compatible with OpenAI fine-tuning API and similar chat-based training

Data Fields

Alpaca Format

Field	Description
instruction	System prompt for n8n workflow generation
input	User's workflow requirements/description
output	Complete n8n workflow JSON

OpenAI Messages Format

Field	Description
messages	Array of message objects with role and content

Each message object contains:

• role: "user" or "assistant"
• content: The message content (instruction or workflow JSON)

System Prompt

All records share the same instruction:

You are an expert n8n workflow generation assistant. Your goal is to create valid, efficient, and error-free n8n workflow JSONs based on the user's requirements. Always output ONLY the valid JSON workflow.

Dataset Structure

Alpaca Format Example

{
  "instruction": "You are an expert n8n workflow generation assistant...",
  "input": "Create a workflow that retrieves Google Analytics data...",
  "output": "{"id": "...", "nodes": [...], "connections": {...}}"
}

OpenAI Messages Format Example

{
  "messages": [
    {
      "role": "user",
      "content": "You are an expert n8n workflow generation assistant...\n\nCreate a workflow that retrieves Google Analytics data..."
    },
    {
      "role": "assistant",
      "content": "{"id": "...", "nodes": [...], "connections": {...}}"
    }
  ]
}

Loading the Dataset

Using Hugging Face Datasets

from datasets import load_dataset

# Load Alpaca format
alpaca_dataset = load_dataset("mbakgun/n8nbuilder-n8n-workflows-dataset", split="train")

# Load OpenAI format
openai_dataset = load_dataset("mbakgun/n8nbuilder-n8n-workflows-dataset", split="train_openai")

# Load both
full_dataset = load_dataset("mbakgun/n8nbuilder-n8n-workflows-dataset")

Using Hugging Face Hub

from huggingface_hub import hf_hub_download
import json

# Download Alpaca format
alpaca_file = hf_hub_download(
    repo_id="mbakgun/n8nbuilder-n8n-workflows-dataset",
    filename="train.jsonl",
    repo_type="dataset"
)

# Download OpenAI format
openai_file = hf_hub_download(
    repo_id="mbakgun/n8nbuilder-n8n-workflows-dataset",
    filename="train_openai.jsonl",
    repo_type="dataset"
)

Fine-tuning

With Axolotl (Alpaca Format)

datasets:
  - path: mbakgun/n8nbuilder-n8n-workflows-dataset
    type: alpaca
    split: train

With OpenAI Fine-tuning API (OpenAI Format)

from openai import OpenAI

client = OpenAI()

# Prepare data from Hugging Face
dataset = load_dataset("mbakgun/n8nbuilder-n8n-workflows-dataset", split="train_openai")

# Convert to OpenAI format and upload
training_file = client.files.create(
    file=open("training_data.jsonl", "rb"),
    purpose="fine-tune"
)

With Other Frameworks

Both formats can be easily converted to other training formats as needed.

Use Cases

• Fine-tuning LLMs to generate n8n workflows from natural language
• Training models to understand workflow automation patterns
• Building AI assistants for no-code/low-code automation
• Research on code generation and workflow automation

Statistics

Metric	Value
Total Workflows	2,737
Formats	2 (Alpaca, OpenAI Messages)
Splits	train (Alpaca), train_openai (OpenAI)

License

MIT License

Acknowledgments

This dataset is currently maintained by n8nbuilder.dev — an AI-powered n8n workflow generation tool.

Data Sources & Attribution

• Template Source: All workflow templates in this dataset are sourced from n8n's public template gallery. Template creators retain all rights to their workflows.
• Indexing: Templates were indexed using n8n-mcp by @czlonkowski.
• n8n: n8n is the workflow automation platform that powers these templates.

If you are a template creator and have concerns about your template being included, please open an issue.

Citation

If you use this dataset, please cite:

@dataset{n8nbuilder_n8n_workflows_dataset_2025,
  title={n8nbuilder - n8n workflow automation templates dataset},
  year={2025},
  url={https://huggingface.co/datasets/mbakgun/n8nbuilder-n8n-workflows-dataset},
  note={Curated by n8nbuilder.dev}
}