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End of preview. Expand in Data Studio

grite Coordination-Log Corpus

The coordination-log dataset and pre-registered mining toolkit behind "Before the Pull Request: Mining Multi-Agent Coordination" (arXiv:2606.19616).

Autonomous coding agents now open millions of pull requests, yet PR-level telemetry cannot see how concurrent agents coordinate before the PR. This corpus captures that pre-PR process — task claims, locks, edits, dependencies — recorded as grite's append-only coordination log, plus the failure-mode detectors that mine it.

What's in it

  • data/coordination-log.csv — the dataset, tidy one row per coordination event.
  • data/SCHEMA.md — the canonical grite export --format coordination-log schema.
  • data/DATASHEET.md — datasheet (Gebru et al., Datasheets for Datasets).
  • mine/pre-registered failure-mode detectors (lock starvation, redundant rediscovery, conflicting edits, …) + an AIDev-style PR-contrast loader that shows which patterns are invisible in PRs alone.
  • MANIFEST.toml — reproducibility pin (grite commit + seeds + dataset version).

Status (important)

The committed coordination-log.csv is the synthetic tier-T1 showcase — the coordination_sim grid (coordination arms × scenarios × agent counts × seeds). The frozen tier-T2 agent-in-the-loop dataset (≥2 LLM-agent vendors on real OSS repos) is released on paper finalization; see DATASHEET.md. The detectors are identical across T1 and T2 and are pre-registered to avoid p-hacking.

Use

python mine/run.py --log data/coordination-log.csv --out figures

Cross-links

Published by @dipankarsarkar. MIT.

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