Observed arrival · 2026-09-08
OpenDataReasoningHub Wants to Open the Black Box of Coding Agents
A public-data project that collects privacy-filtered coding-agent reasoning sessions and releases them as a CC0 dataset.
Field notes
The contribution flow is built around a preview-before-submit step: users select a session, inspect the proposed cleaned conversation, and explicitly confirm it. The stated filters remove credentials, contact details, card numbers, local usernames, and several forms of development context, while a second server-side pass repeats the rules. The homepage reports 27 submitted sessions, 1,651,668 cleaned tokens, and a target of 1,000 sessions for its first public snapshot.
Observed signals
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