Datasets:
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
multi-agent-systems
llm-routing
cost-aware-inference
calibration
agent-collaboration
reasoning
License:
| # License audit | |
| This audit records what was found **on disk**, in the project's own benchmark | |
| preparation directories, before any redistribution decision was made. Sub-agent | |
| A performs the formal, authoritative audit in parallel; this file records the | |
| independent check that drove this staging tree's contents. | |
| ## Decision rule applied | |
| Default to caution. Do **not** stage upstream problem text, gold answers, | |
| reference solutions, or answer options for any benchmark unless on-disk evidence | |
| shows a license that clearly permits redistribution *and* the release plan needs | |
| the text. Where in doubt, omit the text and keep stable identifiers. | |
| **Outcome: no problem text is staged for any benchmark, including the two whose | |
| upstream licenses (MIT) would have permitted it.** The decision was made | |
| release-wide rather than per-benchmark, because the flagship table | |
| `data/matched_labels.csv` interleaves all four benchmarks in one file and a | |
| mixed-license text column would be hard for a downstream user to respect | |
| correctly. Stable IDs plus `docs/reconstruction.md` give the same scientific | |
| value without the licensing hazard. | |
| ## Evidence found on disk | |
| | Benchmark | Evidence file | License stated | Redistribution permitted by that license? | Decision here | | |
| |---|---|---|---|---| | |
| | Omni-MATH-2 | `dataset_release/hf_release_v2/LICENSES/README.md`, `registry/licenses.parquet` | Apache-2.0 | yes, with attribution | **text withheld** (release-wide rule) | | |
| | JEEBench | `data/source_benchmarks/jeebench/LICENSE`, `data/science-benchmarks/manifest.json`, per-row `license: MIT` field | MIT, Copyright (c) 2023 DAIR Group, IIT Delhi | yes, with notice | **text withheld** (release-wide rule) | | |
| | SciBench | `data/source_benchmarks/scibench/LICENSE`, `data/science-benchmarks/manifest.json`, per-row `license: MIT` field | MIT, Copyright (c) 2023 Xiaoxuan Wang | yes, with notice | **text withheld** (release-wide rule) | | |
| | LAB-Bench | `data/lab-bench-public/README.md`, `data/lab-bench-public/manifest.json`, `registry/licenses.parquet` | CC-BY-SA-4.0 with an upstream do-not-train request and a canary string | share-alike; redistribution would force CC-BY-SA on the redistributed content and carries the canary obligation | **text withheld** — the most restrictive of the four, and the binding constraint | | |
| | MaScQA | `data/source_benchmarks/mascqa/LICENSE`, `data/science-benchmarks/manifest.json` | CC-BY-NC-SA-4.0 | NonCommercial; the project's own manifest marks it `internal_only_not_compatible_with_cc_by_sa_4_0_release` | **entire benchmark excluded** | | |
| ### Notes per benchmark | |
| **LAB-Bench.** `data/lab-bench-public/README.md` records upstream revision | |
| `5c77cec648430f30611808808861eb86f81d5eaa` of `futurehouse/lab-bench` and states | |
| that the upstream canary field is deliberately kept out of the agent-facing | |
| prompt. The project's own release code (`scripts/dataset_release/ | |
| prepare_hf_labbench_protocol_dataset.py`) carries the note "Check upstream | |
| LAB-Bench terms before public redistribution." That unresolved check is itself a | |
| reason to withhold. LAB-Bench was treated as the binding constraint for the | |
| release-wide rule. | |
| **MaScQA.** Excluded for two independent reasons. First, it is not in the paper: | |
| there is no matched Gemma run, so the setting | |
| `mascqa__text_only__gpt_oss_120b` (642 rows) has no paired counterpart and is not | |
| one of the ten camera-ready settings. Second, CC-BY-NC-SA-4.0 is a NonCommercial | |
| license, which the project's own `data/science-benchmarks/manifest.json` marks as | |
| `internal_only`. The 642-row file exists in the source tree and was deliberately | |
| not staged. | |
| **Omni-MATH-2.** The Apache-2.0 finding comes from the project's own registry | |
| (`registry/licenses.parquet`, source | |
| `https://huggingface.co/datasets/martheballon/Omni-MATH-2`), not from a LICENSE | |
| file sitting next to the data. No `LICENSE` file was found under | |
| `data/omni-math-2-filtered/`. That is a weaker form of evidence than the MIT | |
| LICENSE files present for JEEBench and SciBench, and is a second reason the | |
| release-wide withhold rule is the safe call. | |
| ## Model output terms | |
| `openai/gpt-oss-120b` has Apache-2.0 weights. `google/gemma-4-31B-it` is governed | |
| by the Gemma Terms of Use. This release contains **no raw generated text** from | |
| either model — only derived correctness flags, integer confidence values, and | |
| token/call accounting — so the exposure is limited to derived measurements. The | |
| Gemma Terms are cited in `NOTICE` regardless. | |
| ## What this audit does not establish | |
| - It does not re-verify the upstream licenses at their sources. Every license | |
| above was read from a file in the project tree, not fetched from the upstream | |
| repository or dataset card at audit time. Confirm before public upload. | |
| - It says nothing about whether the derived measurements themselves are | |
| copyrightable, which is a question for counsel, not for this file. | |