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.
| Author / organization | ShwStone |
|---|---|
| License (as declared) | odc-by |
| Downloads | 189 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 18 August 2026 |
| Last updated at source | 18 August 2026 |
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