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Release2026-08-03

Microsoft published Orchard on Hugging Face, the trajectory dataset accompanying the paper "Orchard: An Open-Source Agentic Modeling Framework" (Peng et al., 2026). The release has two subsets: a `swe` subset of 107,185 multi-turn software-engineering trajectories across 2,788 GitHub repositories (74,649 resolved, 32,536 unresolved, ~9.72 GB, 19 parquet shards) generated by MiniMax-M2.5 and Qwen3.5-397B-A17B teachers using the OpenHands and mini-swe-agent harnesses on SWE-rebench and Scale-SWE tasks; and a `gui` subset of 3,070 judge-verified successful per-step web-browsing rollouts with screenshots across 409 pae-webvoyager tasks. Reported results include a Qwen3-30B-A3B-Thinking backbone rising from 22.0% to 64.3% on SWE-bench Verified with SFT and 67.5% with added RL, and Qwen3-VL-4B-Thinking going from 38.1% to 68.4% average across WebVoyager, Online-Mind2Web and DeepShop. SWE trajectory text is anonymized; both subsets use OpenAI-style chat schemas with JSON-encoded metadata.

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