scripts/README_MONGODB.md

MongoDB Setup for Stern Neon Dataset

This guide explains how to set up MongoDB using Docker and import your JSONL dataset.

Prerequisites

• Docker and Docker Compose installed
• Python 3.6+ with pip
• JSONL dataset file (e.g., stern_neon_user_poetry.jsonl)

Setup Instructions

1. Start MongoDB with Docker Compose

# Start the MongoDB container and Mongo Express web UI
docker-compose up -d

This will start:

• MongoDB server on port 27017
• Mongo Express web UI on port 8081

2. Install Python Dependencies

# Install required Python package
pip install pymongo

3. Import JSONL Data into MongoDB

# Import the default file (stern_neon_user_poetry.jsonl)
python import_jsonl_to_mongodb.py

# Or specify a different file
python import_jsonl_to_mongodb.py normalized_entries.jsonl

Accessing MongoDB

Connection Details

• Host: localhost
• Port: 27017
• Username: admin
• Password: password
• Database: stern_neon_db
• Collection: articles

Using Mongo Express

Access the web UI at: http://localhost:8081

Using MongoDB Shell

# Connect to MongoDB container
docker exec -it mongo mongosh -u admin -p password

# Select database
use stern_neon_db

# Query documents
db.articles.find().limit(5)

Environment Variables

You can customize the MongoDB connection by setting these environment variables:

export MONGO_HOST=localhost
export MONGO_PORT=27017
export MONGO_USER=admin
export MONGO_PASSWORD=password
export MONGO_DB=stern_neon_db
export MONGO_COLLECTION=articles

Data Structure

The imported documents will maintain the same structure as in your JSONL file, with each entry having fields like:

• id: Unique identifier
• title: Article title
• subtitle: Article subtitle
• text: Main content
• Other fields from your dataset

An index is automatically created on the id field for faster lookups.