SOURCE_REVIEW.md

# Source and license review

Reviewed 2026-09-24 against pinned local artifacts and primary publisher pages.
This record distinguishes source terms, packaging decisions and unresolved
interpretation. It does not conclude that a dataset license automatically
applies to trained weights, or that a model license grants rights over source
text. The package includes adapter weights and metadata, not corpus text.

## Verified source statements

| Material | Observed terms | Primary source |
|---|---|---|
| Qwen3.5-0.8B | Apache-2.0; pinned license copied verbatim | [Pinned license](https://huggingface.co/Qwen/Qwen3.5-0.8B/blob/2fc06364715b967f1860aea9cf38778875588b17/LICENSE) |
| Tev code and authored generators | MIT; copyright/permission notice retained | [Pinned license](https://github.com/togethercomputer/tev1/blob/1dde7782382c9f49d627153759b8d1deab426ce0/LICENSE) |
| MultiNLI | Mixed-source corpus: card lists CC-BY-3.0, CC-BY-SA-3.0, MIT and other terms; fiction has source-specific terms | [Dataset card](https://huggingface.co/datasets/nyu-mll/multi_nli) |
| BoolQ | CC-BY-SA-3.0 metadata recorded by the pinned Tev source audit | [Dataset card](https://huggingface.co/datasets/google/boolq) |
| Banking77 | CC-BY-4.0 metadata recorded by the pinned Tev source audit | [Dataset card](https://huggingface.co/datasets/legacy-datasets/banking77) |
| CLINC150 | Author repository contains CC-BY-3.0 | [Author license](https://github.com/clinc/oos-eval/blob/master/LICENSE) |
| PAWS | Custom dataset license permits any purpose and asks for acknowledgment; it is not an Apache-2.0 license | [Author license](https://github.com/google-research-datasets/paws/blob/master/LICENSE) |
| VitaminC | Author data license refers to applicable Wikipedia article terms, with CC-BY-SA-3.0 fallback; synthetic annotations also incorporate FEVER material | [Author data license](https://github.com/TalSchuster/VitaminC/blob/main/DATA_LICENSE) |
| HelpSteer2 | NVIDIA card lists CC-BY-4.0 | [Publisher card](https://huggingface.co/datasets/nvidia/HelpSteer2) |
| GoEmotions | Apache-2.0 metadata recorded at the pinned dataset revision; texts originate from Reddit | [Publisher card](https://huggingface.co/datasets/google-research-datasets/go_emotions) |
| AG News and SST-5 | Unknown / unspecified source-license metadata in the pinned Tev audit | [Pinned provenance](https://github.com/togethercomputer/tev1/blob/1dde7782382c9f49d627153759b8d1deab426ce0/DATA_SOURCES.md) |

`SOURCES.json` records the precise data revisions used. Links to branch names in
this review are primary references checked on the review date; pinned data and
original file hashes remain the reproducibility identity. Retain source names,
license links and transformation descriptions when citing this work.

## What this package does

1. Offers new Eval Engine material under Apache-2.0 to the extent of its rights,
   retains the Qwen license and Tev MIT notice, and identifies modifications.
2. Copies only the selected adapter tensors, rewrites its base-location metadata
   for portability, and preserves original hashes and evaluation provenance.
3. Excludes all training/evaluation JSONL files, raw source archives, model inputs,
   response text, optimizer states and full base weights.
4. Keeps source terms separate from the model license. No claim is made that the
   collection is uniformly permissive, wholly original, or free of third-party
   rights.

## Remaining interpretation and review limits

- The audit is source-level. It has not resolved every underlying Wikipedia,
  Reddit, fiction, or other third-party text right on a per-item basis.
- Attribution/share-alike scope for transformed source text and learned weights
  are distinct questions. This record does not decide that trained parameters
  are, or are not, adaptations under every applicable term and jurisdiction.
- AG News/SST-5 removal reduces ambiguity for the expanded training recipe; it
  does not resolve the remaining sources' terms. A baseline package still needs
  to disclose those training sources. Aggregate evaluation results are included
  without their source text.
- No complete personal-data, memorization, or provenance audit of upstream
  pretrained Qwen weights or every source row has been performed. The short
  answer interface is not evidence that those questions are settled.
- This is a local, reviewable experimental package. Publication is a separate
  action. The manifest records this review as documented, not blanket clearance.

These limits should travel with the artifact. They need not be presented as a
claim that open-weight publication is prohibited.

0.8B base update: the pinned Qwen3.5-0.8B LICENSE was checked on 2026-09-29; the training source mixture is unchanged.