Audit all upstream dataset licenses and document source-specific terms

SOURCES.md

@@ -1,9 +1,36 @@
 # Dataset sources and attribution
 
-`sources.json` records source metadata for each retained subset, separately for capped train/validation and S1MB test. `dataset_metadata.json` records current split counts and upstream dataset declarations. Source URLs, pinned acquisition revisions, declared licenses, authors and unresolved license caveats are retained where recorded. No new license audit or blanket relicensing has been performed.
+`sources.json` records source metadata for each retained subset, separately for capped train/validation and S1MB test. `dataset_metadata.json` records current split counts and upstream dataset declarations. Source URLs, pinned acquisition revisions, declared licenses, authors and unresolved license caveats are retained where recorded. A source-license review was performed on 2026-09-30; see [LICENSE_AUDIT.md](LICENSE_AUDIT.md) and [license-audit.json](license-audit.json). No blanket relicensing is applied.
 
 Historical source documents are in `_sources/capped-train/` and `_sources/s1mb/`. In particular, `_sources/s1mb/SOURCES.md` and `_sources/s1mb/sources.json` retain detailed S1MB citations. Their relative paths are relative to the original release; their counts are historical, not current v0 membership. Original synthetic generalization reviews are in `generalization/`. Preserve the original synthetic author, version and author-intended label status. Open-Jev rows were acquired through ZefanCai/Open-Jev; customer-control retains its unresolved upstream question-wording license caveat.
 
 Private Hugging Face counterpart: [hotchpotch/bekko-system-one-dataset-v0](https://huggingface.co/datasets/hotchpotch/bekko-system-one-dataset-v0). Published [source metadata](https://huggingface.co/datasets/hotchpotch/bekko-system-one-dataset-v0/blob/7140f9efc9f3b7e9fe8080a6c0d9784246e6cf4d/sources.json) retains the upstream declarations and notices.
 
 Current Laya-source subset names are recorded in `namespace-map.json`; historical source documents retain their original identifiers. `LocalLLaMA/typed-decisions` supplies the four synthetic workflows in `laya__typed_decisions`.
+
+## Authored evaluation subsets
+
+### s1mb-generalization-contextual-choice
+
+Author: GPT-6-Astra. License: not separately declared. Author-intended, self-reviewed; not independently human-validated. See [generalization/s1mb-generalization-contextual-choice/REVIEW.md](generalization/s1mb-generalization-contextual-choice/REVIEW.md).
+
+### s1mb-generalization-contextual-noul
+
+Author: GPT-6-Astra. License: not separately declared. Author-intended, self-reviewed; not independently human-validated. See [generalization/s1mb-generalization-contextual-noul/REVIEW.md](generalization/s1mb-generalization-contextual-noul/REVIEW.md).
+
+### s1mb-generalization-contextual-score
+
+Author: GPT-6-Astra. License: not separately declared. Author-intended, self-reviewed; not independently human-validated. See [generalization/s1mb-generalization-contextual-score/REVIEW.md](generalization/s1mb-generalization-contextual-score/REVIEW.md).
+
+### s1mb-generalization-diverse-choice
+
+Author: GPT-6-Astra. License: not separately declared. Author-intended, self-reviewed; not independently human-validated. See [generalization/s1mb-generalization-diverse-choice/REVIEW.md](generalization/s1mb-generalization-diverse-choice/REVIEW.md).
+
+### s1mb-generalization-diverse-noul
+
+Author: GPT-6-Astra. License: not separately declared. Author-intended, self-reviewed; not independently human-validated. See [generalization/s1mb-generalization-diverse-noul/REVIEW.md](generalization/s1mb-generalization-diverse-noul/REVIEW.md).
+
+### s1mb-generalization-diverse-score
+
+Author: GPT-6-Astra. License: not separately declared. Author-intended, self-reviewed; not independently human-validated. See [generalization/s1mb-generalization-diverse-score/REVIEW.md](generalization/s1mb-generalization-diverse-score/REVIEW.md).
+

checksums.json

@@ -1,7 +1,7 @@
 {
   "AGENTS.md": "71267bca8623fb947226ca24a6e6177d3a1a81e3dcafb152b603c5ff6ab50a61",
-  "README.md": "7ae1f5b2288191c1e83875af0ef9c766372fc87ee4b04d7579f0dc6e65b23b7b",
-  "SOURCES.md": "cf01b0bf6ccc94560736526b55ce0f7bf4aba35efd85e66ff5a763f10e7df2b1",
+  "README.md": "8342b414505228d240c0a169c8aa7590120ae9d94969e2d1575eb30643ab68a9",
+  "SOURCES.md": "1e6a3bf50f87a201a3b3e611d5b6b51678e136cebcf19bf11356eb8260ad5958",
   "_build/__init__.py": "70bab2050397b991f98ba42cf3e20f008614c6019403f82655dd398085e507f6",
   "_build/balanced_sampling.py": "9cf7b66f8c4ba25b9ad18832704e400eda8c4a927917189cb2bae83565a10cbb",
   "_build/capped_release.py": "f50d4c969922527c8468a1bcefb9d7f1f298de347b639d10613fc985f6ceae77",
@@ -986,7 +986,7 @@
   "data/wiqa/test/00000-of-00001.parquet": "0a933156d42eec0ef4e1f653dd5dbd7f6d3a4706df978e3a63bffc649ea3a3b8",
   "data/wiqa/train/00000-of-00001.parquet": "4b0689e4874775e78e3391a794cc056d6a933fee37a4281079a79c618cc177ad",
   "data/wiqa/validation/00000-of-00001.parquet": "01fb0798854dd56382aaef741ef8ff016e3ec50b0578d70b5b3b1a267fbc27bc",
-  "dataset_metadata.json": "6ec7f205f2b1c139a262b44714899cb03c56b161d072bb62182836b9c6b5a461",
+  "dataset_metadata.json": "55bf4f9ed40b45bfda8f703c250297455f14986902e03be49ecdff443ffd083b",
   "exclusions.json": "0c1597fae1bd27f3a5776244702c2f4fe5bd35e8874d7de55423a5690aafea26",
   "generalization/s1mb-generalization-contextual-choice/REVIEW.md": "f42e9289897968bbcd9384c6019db5544643c65a588cf047119c723e32df486d",
   "generalization/s1mb-generalization-contextual-noul/REVIEW.md": "b8dd95cbe8cb96ca2ac6039d9379928b5d8fe6879386b5d0919c4d5c7d56c988",
@@ -1000,9 +1000,11 @@
   "schema.json": "f64e882df45c849b411cc9b0f744f09bd753a98b3965694666bc139d56fd5fd9",
   "score-policy-catalog.json": "32510f23d837a218b79e347fcbf85350b14f6b0b3bf27998d4c6b08afac01ccc",
   "selection.json": "b60fd60d53754f9c3559d87a3473953330d021fffecb3f468cdaadd2688a4682",
-  "sources.json": "547ca14b8c1999d2d5644c5460fb438fc630dd2a89383d211b97032434f070c1",
+  "sources.json": "cc332b2c0a6cd35f551976bc043abe90a465b6c6e7537fac309405da5d7c6b6c",
   "task-catalog.json": "6b1273e87689a9892f08be66ec2afcf5db897c9ec2f65a9401cf16a396622edb",
   "train-selection.json": "8ea2eca70b1ebef8e70616380994ed490a2f62652a6c70026c2c655638bd3285",
   "training-manifest.json": "aa51175926df3f1266f2c9e5ed013e1937f0e2e90dc55582dd759f0db3e0d504",
-  "verification.json": "8c7765573907f7ac1d1b01e3532e9eac0667de9f3ade6687d40bbcb5c1bb6c71"
+  "verification.json": "8c7765573907f7ac1d1b01e3532e9eac0667de9f3ade6687d40bbcb5c1bb6c71",
+  "LICENSE_AUDIT.md": "d7ac2c6c8b85c46335e53004ebf111bc253bc69c30de2f4d64db68cb65612a8f",
+  "license-audit.json": "87221676f25ea711fc47e9618d15bb5930a1396d3e7b35da04e8a531eb50f949"
 }

sources.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:547ca14b8c1999d2d5644c5460fb438fc630dd2a89383d211b97032434f070c1
-size 13806457
+oid sha256:cc332b2c0a6cd35f551976bc043abe90a465b6c6e7537fac309405da5d7c6b6c
+size 14035234