{
 "id": "Tinyhope/Value_Alignment_Tax",
 "owner": "Tinyhope",
 "name": "Value_Alignment_Tax",
 "downloads": 37,
 "likes": 1,
 "last_modified": "2026-03-16T18:35:19.000Z",
 "stated_licence": "mit",
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 "citation": "This dataset was created for the paper:\n\n**Value Alignment Tax: Measuring Value Trade-offs in LLM Alignment**  \nJiajun Chen, Hua Shen  \nhttps://arxiv.org/abs/2602.12134\n\nThe dataset supports the evaluation of value trade-offs induced by alignment interventions\nin large language models.\n\nIn addition, it can be used for value alignment research, including value steering as well\nas training alignment methods such as supervised fine-tuning (SFT) and preference-based\noptimization approaches (e.g., DPO).\nIf you find this dataset useful in your research, please consider citing our paper.\n\n\n```bibtex\n@article{chen2026valuealignmenttax,\n  title={Value Alignment Tax: Measuring Value Trade-offs in LLM Alignment},\n  author={Chen, Jiajun and Shen, Hua},\n  year={2026},\n  journal={arXiv preprint arXiv:2602.12134},\n  url={https://arxiv.org/abs/2602.12134}\n}",
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 "stated_evidence": "https://huggingface.co/datasets/Tinyhope/Value_Alignment_Tax/blob/2d77548a507e1a1a423e4c865a58a3b47c6b895d/README.md",
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}