TIGER-Lab/RationalRewards-SFTData
TLDR: this is the SFT trajectories for training reasoning reward model for text-to-image generation and image editing, from the following paper. RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time Haozhe Wang1 Cong Wei2 Weiming Ren2 Jiaming Liu3 Fangzhen Lin1 Wenhu Chen2 1 HKUST 2 University of Waterloo 3 Alibaba… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/RationalRewards-SFTData.
| Author / organization | TIGER-Lab |
|---|---|
| License (as declared) | mit |
| Downloads | 213 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 25 February 2026 |
| Last updated at source | 20 April 2026 |
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- 16 Oct 2026 Description: TLDR: this is the SFT trajectories for training reasoning reward model for text-to-image generation and image editing, from the following paper. RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time Haozhe W → TLDR: this is the SFT trajectories for training reasoning reward model for text-to-image generation and image editing, from the following paper. RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time Haozhe W
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