HongbangYuan/sciworld_sft_warmup

sciworld_sft_warmup ScienceWorld SFT warm-up data for Qwen3.5-4B before L2 reinforcement learning. Contains 200 unique environments from 19 L2 training task types, with no L2 test task types included. Every original gold path was executed to native score 100 in the original ScienceWorld backend (easy preset, without a 15-action limit). gpt-6-astra generated short English action rationales from tasks, observations and fixed gold actions. These are post-hoc synthetic rationales… See the full description on the dataset page: https://huggingface.co/datasets/HongbangYuan/sciworld_sft_warmup.

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