| Add n8n workflow training datasets (3 formats) |
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| 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. |
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| ## Dataset Contents |
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| **Three format variations:** |
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| 1. **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 |
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| 2. **training_data_openai.jsonl** - OpenAI format for GPT models |
| - Format: messages array with system/user/assistant roles |
| - Use case: OpenAI fine-tuning API |
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| 3. **training_data_simple.json** - Simplified format |
| - Format: Basic instruction-output pairs |
| - Use case: Custom training pipelines or quick prototyping |
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| ## Data Statistics |
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| - 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 |
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| ## Sample Format (Alpaca) |
| ```json |
| { |
| "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"] |
| } |
| } |
| ``` |
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| ## Use Case |
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| 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. |
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| ## Training Results |
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| - Model: Llama 3 8B (4-bit quantized) |
| - Training time: 55 minutes on A100 GPU |
| - Final loss: 1.235900 |
| - Inference quality: Production-ready |
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| ## Data Collection Methodology |
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| 1. Scraped n8n marketplace via public API |
| 2. Extracted workflow metadata and node structures |
| 3. Generated instruction-output pairs |
| 4. Validated JSON structure and data quality |
| 5. Formatted for multiple training frameworks |
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| ## License & Attribution |
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| - Source: n8n marketplace (public workflows) |
| - Created by: Mustapha Liaichi |
| - Project: n8n Workflow Generator |
| - Website: n8nlearninghub.com |
| - GitHub: MuLIAICHI |
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| ## Citation |
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| 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} |
| } |
| ``` |
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| ## Related Resources |
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| - Model: MustaphaL/n8n-workflow-generator |
| - Analysis: "What Are People Actually Building in n8n?" (Medium) |
| - Tool: n8n Marketplace Analyzer (Apify) |
| - Community: r/n8nLearningHub |
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| ## Future Updates |
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| This dataset may be updated periodically with: |
| - Additional workflows from marketplace |
| - Enhanced metadata and categorization |
| - Multi-language workflow descriptions |
| - Advanced workflow patterns |
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| --- |
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| - For questions or collaboration: mustaphaliaichi@gmail.com |
| - Check the Actor on Apify for fresh data training : [Get fresh data ](https://apify.com/scraper_guru/n8n-marketplace-analyzer) |
| - Check the full story : [read me ](https://medium.com/@mustaphaliaichi/what-are-people-actually-building-in-n8n-i-scraped-over-6-000-workflows-to-find-out-59eb8e34c317) |
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| license: apache-2.0 |
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