📅 2025-11-16 — Session: Developed TEI XML to JSONL Parsing Pipeline
🕒 19:30–19:50
🏷️ Labels: Python, TEI, XML, Data Processing, JSONL
📂 Project: Dev
Session Goal
The goal of this session was to develop and refine a pipeline for parsing TEI XML files into JSONL format, focusing on paragraph-level extraction and embedding generation.
Key Activities
- Developed Python scripts to process TEI XML files, extracting paragraph-level text and generating canonical records with placeholder embeddings.
- Implemented error handling and summary generation for the processing results.
- Created a reproducible pipeline for parsing TEI files, extracting chunks, and saving them in JSONL format.
- Inspected functions in existing Python scripts to ensure proper file handling and data processing.
- Developed a script to ingest JSONL data into ChromaDB, handling duplicates and embedding costs.
Achievements
- Successfully developed a pipeline for converting TEI XML files to JSONL format with optional embeddings.
- Ensured the pipeline is robust with error handling and summary reporting.
- Facilitated the inspection of Python scripts to verify functionality and data processing.
Pending Tasks
- Further testing of the pipeline with various TEI XML files to ensure robustness across different data sets.
- Optimization of embedding generation and upsert processes to ChromaDB.