CL-From-Nothing/RLVE-Qwen3-1.7B-Pass1-Rollouts
RLVE teacher rollouts — Qwen3-1.7B (pass@1) Teacher rollouts for on-policy distillation on the RLVE environment suite. Teacher / sampler: Qwen3-1.7B Source prompts: RLVE train split — 9000 questions across RLVE-Eval Gym environments (counting / combinatorics / optimization tasks) Sampling: 1 sample/question (pass@1) = 9000 records, temperature 0.7, max 4096 new tokens Rewards: inline RLVE-Eval Gym verifier score (continuous, in [-1, 1]). Teacher accuracy (reward>0): 20 / 9000 =… See the full description on the dataset page: https://huggingface.co/datasets/CL-From-Nothing/RLVE-Qwen3-1.7B-Pass1-Rollouts.
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RLVE teacher rollouts — Qwen3-1.7B (pass@1)
Teacher rollouts for on-policy distillation on the RLVE environment suite.
- Teacher / sampler: Qwen3-1.7B
- Source prompts: RLVE
trainsplit — 9000 questions across RLVE-Eval Gym environments (counting / combinatorics / optimization tasks) - Sampling: 1 sample/question (
pass@1) = 9000 records, temperature 0.7, max 4096 new tokens - Rewards: inline RLVE-Eval Gym verifier score (continuous, in [-1, 1]). Teacher accuracy (reward>0): 20 / 9000 = 0.2%, mean reward -0.993. NOTE: the 4096-token budget truncates many chains before a final answer, so a large fraction of records score -1 (missing/invalid format).