{
 "id": "catt-bench/vtok101-attribution-baselines",
 "owner": "catt-bench",
 "name": "vtok101-attribution-baselines",
 "downloads": 4480,
 "likes": 0,
 "last_modified": "2026-10-30T12:17:54.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "The attribution scores of \"[Elucidating the Design Space of LM Data Attribution](https://arxiv.org/abs/2610.40655)\"\non **Function Bindings**, for the LoRA adapters in\n[catt-bench/Qwen3.5-4B-d0-vtok101-lora-seeds](https://huggingface.co/catt-bench/Qwen3.5-4B-d0-vtok101-lora-seeds). The CATT code release reads them\nwith `catt fetch results --task fb` and rebuilds the paper's figures and tables\nfrom them with `catt report results`.",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "33cae8569633536c86100f48ac962b31e7aa23f1",
 "stated_evidence": "https://huggingface.co/datasets/catt-bench/vtok101-attribution-baselines/blob/33cae8569633536c86100f48ac962b31e7aa23f1/README.md",
 "file_evidence": "https://huggingface.co/datasets/catt-bench/vtok101-attribution-baselines/tree/33cae8569633536c86100f48ac962b31e7aa23f1",
 "card_nc": false
}