| --- |
| 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)](https://arxiv.org/abs/2610.24993) |
| - **Code**: [github.com/ernie-research/DCore](https://github.com/ernie-research/DCore) |
|
|
| ## Composition |
|
|
| | # | Source | Rows | Source license | Source (Hugging Face) | |
| |---|---------------|-----:|-----------------------|--------------------------------------------------| |
| | 1 | gsm8k | 500 | MIT | [openai/gsm8k](https://huggingface.co/datasets/openai/gsm8k) | |
| | 2 | math500 | 500 | MIT (via prm800k) | [HuggingFaceH4/MATH-500](https://huggingface.co/datasets/HuggingFaceH4/MATH-500) | |
| | 3 | aime25 | 30 | CC-BY-NC-SA-4.0 | [MathArena/aime_2025](https://huggingface.co/datasets/MathArena/aime_2025) | |
| | 4 | humaneval | 164 | MIT | [openai/openai_humaneval](https://huggingface.co/datasets/openai/openai_humaneval) | |
| | 5 | mbpp | 257 | CC-BY-4.0 | [google-research-datasets/mbpp](https://huggingface.co/datasets/google-research-datasets/mbpp) | |
| | 6 | livecodebench | 500 | gated (terms apply) | [livecodebench/livecodebench](https://huggingface.co/datasets/livecodebench/livecodebench) | |
| | 7 | mt-bench | 80 | NC (see below) | [lmsys/mt-bench](https://huggingface.co/datasets/lmsys/mt-bench) | |
| | 8 | alpaca | 500 | CC-BY-NC-4.0 | [tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca) | |
| | 9 | arena-hard | 500 | Apache-2.0 (card); real user queries | [lmarena-ai/arena-hard-auto-v0.1](https://huggingface.co/datasets/lmarena-ai/arena-hard-auto-v0.1) | |
| | 10| swe-bench | 300 | MIT | [princeton-nlp/SWE-bench_Lite](https://huggingface.co/datasets/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 |
|
|
| ```python |
| 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](https://github.com/ernie-research/DCore) repository: |
|
|
| ```bash |
| 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 `aime25` CC-BY-NC-SA-4.0 and `alpaca`/`mt-bench` CC-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. |
| - `aime25` problem statements are © the Mathematical Association of America (MAA), as released by |
| [MathArena](https://matharena.ai/). |
| - `livecodebench`, `lmsys/mt-bench` and `lmsys/lmsys-chat-1m` are gated on Hugging Face and |
| subject to their own terms of use. `arena-hard` rows 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](https://github.com/ernie-research/DCore) |
| repository. |
|
|
