Add full dataset card: composition, licenses, usage, regeneration

README.md

@@ -1,23 +1,82 @@
 ---
-dataset_info:
-  features:
-  - name: turns
-    list: large_string
-  - name: source
-    dtype: string
-  - name: source_index
-    dtype: int32
-  - name: gold
-    dtype: large_string
-  splits:
-  - name: train
-    num_bytes: 2255353
-    num_examples: 3331
-  download_size: 2167034
-  dataset_size: 2255353
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+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 SpecForge-DC
+evaluation pipeline.
+
+## 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
+[SpecForge-Domino](https://github.com/longyongchao/ErnieSpec) 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 [SpecForge-Domino](https://github.com/longyongchao/ErnieSpec)
+  repository.