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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01CL-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.tabulartext-generation1K<n<10K0 likes35 downloads4mo agoHugging Face02CL-From-Nothing /RLVE-Qwen3-4B-Thinking-2507-Pass8-Rollouts RLVE teacher rollouts — Qwen3-4B-Thinking-2507 (pass@8) Teacher rollouts for on-policy distillation on the RLVE environment suite. Teacher / sampler: Qwen3-4B-Thinking-2507 Source prompts: RLVE train split — 9000 questions across 18 environments (counting / combinatorics / optimization tasks) Sampling: 8 samples/question (pass@8) = 72000 records, temperature 1.0 (sample.sh default 0.7 -> here T per run), max 16384 new tokens Rewards: recomputed offline with the RLVE-Eval Gym… See the full description on the dataset page: https://huggingface.co/datasets/CL-From-Nothing/RLVE-Qwen3-4B-Thinking-2507-Pass8-Rollouts.tabulartext-generation10K<n<100K0 likes18 downloads4mo agoHugging Face03CL-From-Nothing /rlve_offline_20K_POPE_prefix_pass1_qwen3-1.7b RLVE offline-20K POPE-prefix completions — Qwen3-1.7B (pass1) Prefix-conditioned completions generated by Qwen3-1.7B over the rlve_offline_20K_POPE_prefix prompt set (20000 records, 1 sample/prompt). Produced by SLURM job 6580578 (vLLM, tp=2), 2026-06-15. Fields index, sample_id, prompt, prefix, response, answer, rewards ⚠️ Caveat on rewards The inline rewards field is all 0.0 — this is the known inline-Gym-verifier artifact (same as the old… See the full description on the dataset page: https://huggingface.co/datasets/CL-From-Nothing/rlve_offline_20K_POPE_prefix_pass1_qwen3-1.7b.tabulartext-generation10K<n<100K0 likes15 downloads3mo agoHugging Face04CL-From-Nothing /RLVE-Test-Qwen3-1.7B-GRPO-step70-Pass8 RLVE test eval — GRPO step70 (pass@8) Evaluation rollouts on the RLVE test split. Model: grpo_train_Qwen3-1.7B-SFT-rlve-20K-1epoch (GRPO, step 70) Source prompts: RLVE test split — 180 questions (RLVE-Eval Gym environments) Sampling: 8 samples/question (pass@8) = 1440 records, temperature 0.7, max 16384 new tokens Rewards: inline RLVE-Eval Gym verifier score (continuous, in [-1, 1]). Record-level accuracy (reward>0): 216 / 1440 = 15.0%, mean reward -0.677 pass@8 (>=1 of 8… See the full description on the dataset page: https://huggingface.co/datasets/CL-From-Nothing/RLVE-Test-Qwen3-1.7B-GRPO-step70-Pass8.tabulartext-generation1K<n<10K0 likes12 downloads4mo agoHugging Face05LIF1014 /ptdbench-rlve-hyper-task-001-dataset PTDBench dataset snapshot: task_001 This repository stores the immutable runtime dataset snapshot for one materialized PTDBench task. It intentionally excludes model weights and training checkpoints. PTDBench family: rlve_hyper Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128 Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable. License: MIT The artifact manifest records every hydrated runtime path, byte size… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-rlve-hyper-task-001-dataset.texttext-generationn<1K0 likes11 downloads1mo agoHugging Face06LIF1014 /ptdbench-rlve-hyper-task-008-dataset PTDBench dataset snapshot: task_008 This repository stores the immutable runtime dataset snapshot for one materialized PTDBench task. It intentionally excludes model weights and training checkpoints. PTDBench family: rlve_hyper Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128 Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable. License: MIT The artifact manifest records every hydrated runtime path, byte size… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-rlve-hyper-task-008-dataset.texttext-generationn<1K0 likes11 downloads1mo agoHugging Face07LIF1014 /ptdbench-rlve-hyper-task-009-dataset PTDBench dataset snapshot: task_009 This repository stores the immutable runtime dataset snapshot for one materialized PTDBench task. It intentionally excludes model weights and training checkpoints. PTDBench family: rlve_hyper Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128 Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable. License: MIT The artifact manifest records every hydrated runtime path, byte size… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-rlve-hyper-task-009-dataset.texttext-generationn<1K0 likes11 downloads1mo agoHugging Face08CL-From-Nothing /RLVE-Eval20-Qwen3-1.7B-SSD-N20-SFT-Train RLVE-Eval20-Qwen3-1.7B-SSD-N20-SFT-Train Parquet for supervised fine-tuning (SFT) in a Simple Self-Distillation (SSD) style setup on the RLVE eval20 filtered pool. What this is Questions: 800 prompts from rlve_eval20_filtered (20 harder RLVE environments × 40 seeds). Continuations: For each question, N = 20 completions were sampled from a frozen Qwen3-1.7B student (including the initial greedy / first sample and additional stochastic samples), then packed for SFT. Rows:… See the full description on the dataset page: https://huggingface.co/datasets/CL-From-Nothing/RLVE-Eval20-Qwen3-1.7B-SSD-N20-SFT-Train.texttext-generation10K<n<100K0 likes7 downloads5mo agoHugging Face09CL-From-Nothing /RLVE-Eval20-Qwen3-4B-SSD-N20-SFT-Train RLVE-Eval20 Qwen3-4B SSD N=20 SFT Train Self-generated SFT corpus for Simple Self-Distillation (SSD) with Qwen/Qwen3-4B. 800 RLVE Eval20 (filtered) prompts × 20 self-samples = 16,000 rows Sampled from frozen Qwen3-4B (vLLM, max_tokens=16384, thinking enabled). Stored as VERL MultiTurnSFTDataset parquet with a messages column. Companion 1.7B dataset: CL-From-Nothing/RLVE-Eval20-Qwen3-1.7B-SSD-N20-SFT-Train. texttext-generation10K<n<100K0 likes7 downloads5mo agoHugging Face10LIF1014 /ptdbench-rlve-hyper-task-012-dataset PTDBench dataset snapshot: task_012 This repository stores the immutable runtime dataset snapshot for one materialized PTDBench task. It intentionally excludes model weights and training checkpoints. PTDBench family: rlve_hyper Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128 Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable. License: MIT The artifact manifest records every hydrated runtime path, byte size… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-rlve-hyper-task-012-dataset.texttext-generationn<1K0 likes7 downloads1mo agoHugging Face11CL-From-Nothing /RLVE-Test-Qwen3-1.7B-SFT-warmup-Pass8 RLVE test eval — SFT warmup (pass@8) Evaluation rollouts on the RLVE test split. Model: Qwen3-1.7B-SFT-rlve-20K-1epoch (RL-warmup baseline, pre-RL) Source prompts: RLVE test split — 180 questions (RLVE-Eval Gym environments) Sampling: 8 samples/question (pass@8) = 1440 records, temperature 0.7, max 16384 new tokens Rewards: inline RLVE-Eval Gym verifier score (continuous, in [-1, 1]). Record-level accuracy (reward>0): 176 / 1440 = 12.2%, mean reward -0.724 pass@8 (>=1 of 8… See the full description on the dataset page: https://huggingface.co/datasets/CL-From-Nothing/RLVE-Test-Qwen3-1.7B-SFT-warmup-Pass8.tabulartext-generation1K<n<10K0 likes6 downloads4mo agoHugging Face12LIF1014 /ptdbench-rlve-hyper-task-016-dataset PTDBench dataset snapshot: task_016 This repository stores the immutable runtime dataset snapshot for one materialized PTDBench task. It intentionally excludes model weights and training checkpoints. PTDBench family: rlve_hyper Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128 Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable. License: MIT The artifact manifest records every hydrated runtime path, byte size… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-rlve-hyper-task-016-dataset.texttext-generationn<1K0 likes6 downloads1mo agoHugging Face13LIF1014 /ptdbench-rlve-hyper-task-019-dataset PTDBench dataset snapshot: task_019 This repository stores the immutable runtime dataset snapshot for one materialized PTDBench task. It intentionally excludes model weights and training checkpoints. PTDBench family: rlve_hyper Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128 Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable. License: MIT The artifact manifest records every hydrated runtime path, byte size… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-rlve-hyper-task-019-dataset.texttext-generationn<1K0 likes6 downloads1mo agoHugging Face14LIF1014 /ptdbench-rlve-hyper-task-005-dataset PTDBench dataset snapshot: task_005 This repository stores the immutable runtime dataset snapshot for one materialized PTDBench task. It intentionally excludes model weights and training checkpoints. PTDBench family: rlve_hyper Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128 Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable. License: MIT The artifact manifest records every hydrated runtime path, byte size… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-rlve-hyper-task-005-dataset.texttext-generationn<1K0 likes5 downloads1mo agoHugging Face15LIF1014 /ptdbench-rlve-hyper-task-010-dataset PTDBench dataset snapshot: task_010 This repository stores the immutable runtime dataset snapshot for one materialized PTDBench task. It intentionally excludes model weights and training checkpoints. PTDBench family: rlve_hyper Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128 Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable. License: MIT The artifact manifest records every hydrated runtime path, byte size… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-rlve-hyper-task-010-dataset.texttext-generationn<1K0 likes5 downloads1mo agoHugging Face

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