|
Download README.md from wingchiuloong/specmix: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/datasets/wingchiuloong/specmix/resolve/main/README.md
- Command line
-
hf download hf://datasets/wingchiuloong/specmix/README.md
-
curl -L -o README.md https://huggingface.co/datasets/wingchiuloong/specmix/resolve/main/README.md
4.73 kB
metadata
license: cc-by-nc-sa-4.0
tags:
- evaluation
- benchmark
- mixed-traffic
- speculative-decoding
- large-language-models
pretty_name: SpecMix (Mixed-Traffic Speculative Decoding Evaluation Set)
size_categories:
- 1K<n<10K
SpecMix
A fixed, shuffled mixed-traffic evaluation set for speculative decoding (draft-then-verify) serving. SpecMix interleaves requests from 10 public benchmarks the way a real serving endpoint sees traffic, so throughput at high concurrency can be measured on a realistic mixture instead of one homogeneous domain at a time. It is the mixed-traffic benchmark used in the DCore evaluation pipeline.
- Paper: When Does Better Acceptance Pay? A Controlled Study of Speculative Decoding (arXiv:2610.24993)
- Code: github.com/ernie-research/DCore
Composition
| # | Source | Rows | Source license | Source (Hugging Face) |
|---|---|---|---|---|
| 1 | gsm8k | 500 | MIT | openai/gsm8k |
| 2 | math500 | 500 | MIT (via prm800k) | HuggingFaceH4/MATH-500 |
| 3 | aime25 | 30 | CC-BY-NC-SA-4.0 | MathArena/aime_2025 |
| 4 | humaneval | 164 | MIT | openai/openai_humaneval |
| 5 | mbpp | 257 | CC-BY-4.0 | google-research-datasets/mbpp |
| 6 | livecodebench | 500 | gated (terms apply) | livecodebench/livecodebench |
| 7 | mt-bench | 80 | NC (see below) | lmsys/mt-bench |
| 8 | alpaca | 500 | CC-BY-NC-4.0 | tatsu-lab/alpaca |
| 9 | arena-hard | 500 | Apache-2.0 (card); real user queries | lmarena-ai/arena-hard-auto-v0.1 |
| 10 | swe-bench | 300 | MIT | princeton-nlp/SWE-bench_Lite |
| Total | 3331 |
Rows are the first N of each source (per the quota above), merged and shuffled with a fixed
seed (42), so the mix is frozen and reproducible.
Fields
turns— single-element list with the already-formatted prompt (identical string to what the per-dataset evaluation path produces).source— originating dataset name.source_index— row index inside that dataset (for cross-referencing).gold— gold answer for scorable sources (gsm8k,math500,aime25; 1,030 rows),""otherwise. Gold answers are numeric only; no code or patch content is included in this dataset.
Usage
from datasets import load_dataset
ds = load_dataset("wingchiuloong/specmix", split="train")
print(ds[0])
Regeneration
This dataset is generated by scripts/build_specmix_dataset.py in the
ernie-research/DCore repository:
python scripts/build_specmix_dataset.py # writes cache/dataset/specmix (seed=42)
License and terms
- This combined dataset is distributed under CC-BY-NC-SA-4.0 (the most restrictive license
among its sources, determined by
aime25CC-BY-NC-SA-4.0 andalpaca/mt-benchCC-BY-NC-4.0). Research / non-commercial use only. - Each component remains under its original license; refer to the source links above for full
terms.
mbpp(CC-BY-4.0) requires attribution, which is provided here. aime25problem statements are © the Mathematical Association of America (MAA), as released by MathArena.livecodebench,lmsys/mt-benchandlmsys/lmsys-chat-1mare gated on Hugging Face and subject to their own terms of use.arena-hardrows are real user queries from Chatbot Arena; they may contain personal data. Please respect the terms of the underlying sources when using the corresponding rows.- If you are a rights holder of any source and would like this dataset removed or adjusted, please open an issue on the ernie-research/DCore repository.