Bitcoin Dev Mailing-List Corpus Extractor
Overview
A small Python utility that ingests the Bitcoin development mailing-list archive (an .mbox file) and explodes it into individual emails and clean plain-text files. It is the data-preparation stage for analysing or feeding the bitcoin-dev discussion corpus into downstream NLP/LLM tooling.
Why It Exists
Mailing-list archives ship as a single opaque .mbox blob with mixed multipart MIME and encodings. To search, analyse, or train on the bitcoin-dev discussions, the archive first has to be unpacked into per-message, decoded, plain-text units.
What We Built
Two scripts using Python’s stdlib mailbox: a.py extracts every message to a numbered .eml file under emails/, and do.py walks each message (handling multipart bodies, content-disposition, and charset fallbacks) to write decoded plain-text into emails_text/, also packaged as a zip. Input is the btc-dev.mbox archive.
Technologies & Approach
Pure Python standard library, no external dependencies, chosen for portability and robustness against the messy real-world MIME and encoding variety found in long-running mailing lists. Graceful charset fallbacks ensure no message is dropped.
Outcome / Impact
Produced a clean, per-message plain-text corpus of the Bitcoin dev mailing list ready for search, summarisation, or LLM ingestion. Demonstrates pragmatic data-wrangling of awkward archive formats with zero-dependency tooling.
Capabilities Demonstrated
- Parsing and decoding
.mbox/ MIME email archives - Multipart body and charset handling with safe fallbacks
- Preparing real-world text corpora for NLP/LLM pipelines
- Zero-dependency, portable Python utilities