laion/nemotron-gym-knowledge-openqa

该数据集是nvidia/Nemotron-RL-knowledge-openqa的Harbor格式转换版本，用于强化学习任务。每行数据包含path（确定性短ID）和task_binary（包含完整Harbor任务的gzip压缩tar文件）。Harbor任务包括instruction.md（显示给智能体的提示）、environment/Dockerfile（基于python:3.11-slim-bookworm的Docker镜像）、tests/test.sh（验证器入口点）、tests/verifier.py（验证器实现）、tests/verifier_data.json（每个任务的验证器输入JSON文件）、metadata.json（来源信息）和task.toml（标准Harbor任务配置）。转换过程安全构造，确保数据集内容不插入到shell、Python或Dockerfile源代码中，所有值通过JSON文件传递，且tarball路径经过验证以防止攻击。数据集源自NVIDIA的NeMo-Gym集合，适用于Harbor环境中的知识开放问答任务。

Harbor-format conversion of nvidia/Nemotron-RL-knowledge-openqa. Each row contains: path (deterministic short ID) and task_binary (gzipped tar containing the full Harbor task). The tarball contents follow Harbors task layout: instruction.md (prompt shown to the agent), environment/Dockerfile (python:3.11-slim-bookworm base + task-specific pip dependencies), tests/test.sh (verifier entrypoint), tests/verifier.py (verifier implementation), tests/verifier_data.json (per-task verifier inputs in JSON), metadata.json (provenance information), and task.toml (standard Harbor task config). Conversion is secure-by-construction: dataset content is never interpolated into shell, Python, or Dockerfile source, all values flow through JSON, and tarball paths are validated against attacks. Derived from NVIDIAs NeMo-Gym collection, for knowledge open QA tasks in reinforcement learning.