YijunShen/RewardPrediction

🌟 RewardPrediction: A Fine-grained Step-wise Reward Prediction Benchmark 🌐 Website | 💻 GitHub | 📄 arXiv RewardPrediction is a large-scale benchmark designed to evaluate fine-grained, step-wise reward prediction across five diverse text-based environments: AlfWorld, ScienceWorld, TextWorld, WebShop, and BlocksWorld. It comprises a total of 2,454 unique trajectories with dense reward annotations. To prevent heuristic reward hacking, we structured the benchmark using a paired… See the full description on the dataset page: https://huggingface.co/datasets/YijunShen/RewardPrediction.

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