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cudabenchmarktest/r8-eval-suite-5bucket

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The declared licence (apache-2.0) is classified as permissive.

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Tasks

Citation text from the card

The suite design draws from:

- Welleck, S., et al. (2020). *Neural Text Generation with Unlikelihood Training.* ICLR. arXiv:1908.04319.
- Rafailov, R., et al. (2023). *Direct Preference Optimization.* NeurIPS. arXiv:2305.18290.
- Lightman, H., et al. (2023). *Let's Verify Step by Step.* arXiv:2305.20050.
- Liu, N. F., et al. (2023). *Lost in the Middle: How Language Models Use Long Contexts.* arXiv:2307.03172. (Bucket 05)
- Lin, S., et al. (2022). *TruthfulQA.* ACL. (Bucket 02 ambiguity inspiration)
- Li, J., et al. (2023). *HaluEval.* EMNLP. (Bucket 03 weak-context inspiration)
- Yin, Z., et al. (2023). *Do Large Language Models Know What They Don't Know? (SelfAware).* ACL Findings. (Calibration regression guard)
- Bai, J., et al. (2025). *Qwen3 Technical Report.* (Native /think dual-mode design)

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dataset_licence({ "id": "cudabenchmarktest/r8-eval-suite-5bucket" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0