Best ChatGPT prompts for Archivists

Create a Python script to organize and categorize 500 digital documents across multiple folders, using metadata such as file type, date created, and keywords. The script should output a CSV file with document details and folder assignments.

Design a natural language processing model using spaCy to extract metadata from a collection of 1000 PDF files. The model should be trained on a dataset of 2000 manually labeled documents and achieve an accuracy of at least 90%.

Develop a backup and recovery plan for a dataset of 10GB, including automated daily backups using rsync and incremental backups using hard links. The plan should also include step-by-step disaster recovery procedures for potential data loss scenarios.

Write a shell script to migrate a collection of 3000 digital images from an external hard drive to a cloud storage service, preserving the original file hierarchy and metadata. The script should handle errors and exceptions during the migration process.

Use machine learning to develop a metadata enrichment algorithm that can detect and fill missing date fields in a dataset of 500 digital documents. The algorithm should achieve an accuracy of at least 95% and be deployable in a production environment.