datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
alfworld-expert-prefix-rollouts
ALFWorld Expert-Prefix Rollout Landscape
This dataset measures how a frozen language-model actor's probability of
solving an ALFWorld task changes after replaying different-length prefixes of a
successful expert trajectory.
The collection contains all 3,553 ALFWorld training tasks from the Agent-G2 SFT
data. Eight independent actor rollouts were sampled from the initial state for
every task. For the 2,307 low-signal tasks with at most one root success, eight
additional… See the full description on the dataset page: https://huggingface.co/datasets/YYYYYYibo/alfworld-expert-prefix-rollouts.prefixbench
PrefixBench JSONL Datasets
These datasets generate deterministic prompts for testing KV prefix caching behavior in LLM inference servers such as vLLM and SGLang. The prompts use controlled shared prefixes plus small unique suffixes so benchmark clients can compare cache reuse, latency, and throughput across server configurations.
Files
shared_schema_1k.jsonl: Simple shared-prefix benchmark. Every request reuses the same extraction instruction, JSON schema, and few-shot… See the full description on the dataset page: https://huggingface.co/datasets/jaytonde05/prefixbench.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.