Migrate large Hugging Face datasets to MongoDB with a looping subworkflow

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This n8n template provides a production-ready, memory-safe pipeline for ingesting large Hugging Face datasets into MongoDB using batch pagination. It is designed as a reusable data ingestion layer for RAG systems, recommendation engines, analytics pipelines, and ML workflows. The template includes: A main workflow that orchestrates pagination and looping A subworkflow that fetches dataset rows, sanitizes them, and inserts them into MongoDB safely 🚀 What This Template Does Fetches rows from