Depending on what's inside, here are three distinct paper "pitches" you could write: Option 1: Natural Language Processing (NLP)
Compare the LZMA2 compression algorithm (used in .7z) against standard formats for speed and data integrity in "FR_coll_B".
What are inside (e.g., .txt, .xml, .csv, or images)? What is the approximate size of the archive? FR_coll_B.7z
Analyzing the linguistic variations within the dataset.
The technical side of handling large 7z files in research. Depending on what's inside, here are three distinct
Use the data to train a Large Language Model (LLM) or a Part-of-Speech tagger.
Quantifying Social Sentiment in Post-War French Periodicals: A Study of FR_coll_B Depending on what's inside
Perform Topic Modeling (LDA) to track how certain political terms evolved over time.