jonhlin/stg-rl-train-envs

STG RL 训练环境精选集(12 环境 / 240 任务) 由 STG(Synthetic Task Generation)管线合成的 中文工具调用环境,专为 agentic RL(verl GRPO + step-level reward) 训练筛选的高质量子集。 每个环境 = 一个自包含的 SQLite 业务库(schema + 样本数据)+ 工具定义 + 程序化验收任务。 规模 环境:12 个(envs/,每个含 EnvironmentDef JSON + 可执行 SQLite 库) 任务:240 个(tasks/,每个含中文描述、ground-truth solution、声明式验收 check) 难度分布:36 easy / 84 medium / 84 hard / 36 extreme 类型分布:60 create / 60 modify / 60 query / 60 refusal 业务域:8 个——airline, ota, banking, retail, delivery, instore… See the full description on the dataset page: https://huggingface.co/datasets/jonhlin/stg-rl-train-envs.

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