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clm-project/jev-boost-re3-hover-attribution-qwen3.6-35b-a3b-fp8-embeddings
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[osunlp/AttributionBench](https://huggingface.co/datasets/osunlp/AttributionBench) (revision `62569e644f4186606f54f742178a4517431b42e1`), split `train`, converted into decisions shaped like the [Jev Decision Index](https://huggingface.co/spaces/multimodalart/jev-decision-index)'s **Retrieval & Classification** requests (HoVer claim verification) and embedded with [Qwen/Qwen3.6-35B-A3B-FP8](https://huggingface.co/Qwen/Qwen3.6-35B-A3B-FP8) (vLLM pooling, last token, L2-normalized, 2048-d) for post-training CLM heads ([clm_train](https://github.com/jackyk02/clm_train): `clm_train.data.jev_boost`, `docs/jev-boost.md`). AttributionBench: claims of generated answers vs the references they cite (ExpertQA, Stanford-GenSearch, AttributedQA, LFQA); human attribution labels, balanced - **State**: the record's text as the index renders the target benchmark's request, followed by that benchmark's own instructions. States never list the options. - **Action**: the gold option's text. **Hard negatives**: the other options (at most 8 per row; near-copies of the gold dropped). - Items whose state shares a paragraph with a Jev suite item are dropped; at most 20,000 rows (a hash sample). | split | pairs | pairs with hard negatives | one-token actions / negatives | |---|---|---|---| | train | 12,168 | 12,168 (k 1) | 0 / 0 | | val | 1,334 | 1,334 (k 1) | 0 / 0 |
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dataset_licence({ "id": "clm-project/jev-boost-re3-hover-attribution-qwen3.6-35b-a3b-fp8-embeddings" })
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