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End of preview. Expand in Data Studio
laion/stackexchange-superuser-sandboxes-verified
Harbor task-binary dataset (10,000 tasks) — columns path (str) and task_binary
(gzip tar), the canonical Harbor
/ TaskTrove task schema.
Computer-use tasks derived from Super User StackExchange questions (Linux/Windows desktop, hardware, storage, end-user sysadmin). Repackaged from DCAgent/stackexchange-superuser-sandboxes-skywork-response; instruction.md and the shared ubuntu:24.04 environment are preserved.
Each task's sandbox ships an LLM-judge verifier ported from the OpenThoughts-Agent data.nemotron_gym framework (verifiers/llm_judge.py), replacing the original Skywork reward-model verifier. At verify time tests/test_state.py reads the agent's /app/response.txt plus /tests/verifier_data.json (the task instruction + an adapted grading rubric), calls an LLM judge via litellm (default openai/gpt-4o-mini), and writes a 0.0-1.0 reward to /logs/verifier/reward.txt. Requires OPENAI_API_KEY at trial time (propagated to the verifier container via task.toml [verifier].env; JUDGE_MODEL optionally overrides the model).
The superuser rubric grades correctness, completeness, safety, and relevance for a real-world desktop/sysadmin request.
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