CoolFace
Datasetpublic

ShwStone/moonconv-wildchat-prefill

Mooncake-derived WildChat Prefill Workload A deterministic, ready-to-replay LLM prefill workload. Request arrival shape and target input lengths come from the public Mooncake FAST'25 conversation trace; natural prompt semantics come from prefixes of public WildChat-4.8M conversations. Prompts are materialized as DeepSeek-V3.2 token IDs, so replay does not require redistributing the 3 GB source subset or tokenizing during a benchmark. This is a derived workload, not an original… See the full description on the dataset page: https://huggingface.co/datasets/ShwStone/moonconv-wildchat-prefill.

sourceHugging Faceodc-byupdated 1mo agoView on Hugging Face
1likes155downloads
3 commits on main
d7d54c11mo ago

Remove generated Python bytecode from release

ShwStone
46f79221mo ago

Publish validated Mooncake-derived WildChat prefill workload

ShwStone
a5d3bdf1mo ago

initial commit

ShwStone