Here are the best methods to handle a request of this scale:

To download 100k files efficiently, you should use to parallelize the download process, ensuring you respect the server's rate limits and terms of service. To help you narrow down the best source, could you clarify:

The premier platform for NLP datasets. You can search for "education," "academic," or "textbook" datasets and use their datasets library to download, stream, or process large quantities of data efficiently via Python.

For academic and scientific educational content, you can use their OAI-PMH interface to download metadata and abstracts for over 100k papers.

A great source for structured, large-scale datasets. You can search for educational text, and use the Kaggle API to automate the download of up to 100k records.

For educational literature, you can bulk download their entire catalog, which contains over 70,000 free books, using their mirrors or automated scripts. Recommended Approach