DataFlow PRs add bad-line isolation and sample-level retries for dataset cleaning
Puzzleheaded_Box2842 · reddit · 2026-11-04
A Reddit post walks through community PRs merged into the open-source data preparation framework OpenDCAI/DataFlow, targeting format errors, broken JSONL lines, and timed-out requests in large training-data cleaning: record validation at format conversion with preparation entry points for QA, Alpaca, and ShareGPT (checking conversation structure, tool-call pairing, preference fields); optional isolation of malformed JSONL lines with location and parse errors logged; resume checks against input, key config, and historical results so incompatible outputs aren't silently reused; and per-sample tracking of failed requests so independent generation/annotation tasks can rerun just the failures. The post stresses batch recovery and sample retries need different handling.
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