I get PTSD every time I think of building a #CSV parser. 
Excellent work from #duckdb as always on showing the versatility of using their tool.
It's one of the core reasons I use them for all my file data needs. 
https://duckdb.org/2025/04/16/duckdb-csv-pollock-benchmark.html
DuckDB · DuckDB's CSV Reader and the Pollock Robustness Benchmark: Into the CSV AbyssDuckDB ships with a fast and robust CSV reader, which – we believe – can consume most CSV files found in the wild. To empirically evaluate this, we used the Pollock Benchmark, a state-of-the-art test suite designed to measure how well CSV readers can operate on non-standard files, and found that DuckDB ranks #1.
There's no need to be shy about asking: why is 
Our new course ‘Quality and Consistent Data with 
In this lesson, you learn the anatomy of CSV and why it's a key format for 
Use static hard-coded arrays or 
Generate seeders from existing table data with orangehill/iseed
Import large 
Don't bury your research data in 
Put raw data in data repositories and use open formats to save them and make them reusable. 
Customizable configuration with rules, allowlists, and entropy checks to reduce false positives
