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End of preview. Expand in Data Studio
laion/glaive-code-assistant-sandboxes-verified
Harbor task-binary dataset (10,000 tasks) — columns path (str) and task_binary
(gzip tar), the canonical Harbor
/ TaskTrove task schema.
Self-contained coding-assistant Q&A tasks from Glaive-Code-Assistant. Repackaged from DCAgent/glaive-code-assistant-sandboxes. The source shipped no verifier; an LLM judge was added and explicit response.txt submission guidance appended to instruction.md. The reference solution/ was removed from the sandbox to prevent reward-hacking. Shared ubuntu:24.04 env.
Each task's sandbox ships an LLM-judge verifier ported from the OpenThoughts-Agent data.nemotron_gym framework (verifiers/llm_judge.py). 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).
Rubric: correctness / completeness / clarity / relevance for a coding question.
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