---
title: rl-verifier-pitfalls_hacking_data
canonical_url: "https://www.modelscope.cn/datasets/hkust-nlp/rl-verifier-pitfalls_hacking_data"
md_url: "https://www.modelscope.cn/datasets/hkust-nlp/rl-verifier-pitfalls_hacking_data.md"
repository: hkust-nlp/rl-verifier-pitfalls_hacking_data
last_updated: 2025-05-29
license: "Apache License 2.0"
storage_size: "2.6 MB"
downloads: 596
stars: 0
---

# rl-verifier-pitfalls_hacking_data

> rl-verifier-pitfalls_hacking_data - hkust-nlp 在 ModelScope 开源的数据集。This is the hacking dataset associated with the paper "Pitfalls of Rule- and Model-based Verifiers -- A Case Study on Mathematical Reasoning." In this paper, we design and release a "Hacking…

hkust-nlp/rl-verifier-pitfalls_hacking_data 是 ModelScope 魔搭社区上的数据集，存储大小 2.6 MB，采用 Apache License 2.0 许可。

- **Repository**: hkust-nlp/rl-verifier-pitfalls_hacking_data
- **License**: Apache License 2.0
- **Storage size**: 2.6 MB
- **Downloads**: 596
- **Stars**: 0
- **Last updated**: 2025-05-29

Source: https://www.modelscope.cn/datasets/hkust-nlp/rl-verifier-pitfalls_hacking_data

---

This is the hacking dataset associated with the paper "Pitfalls of Rule- and Model-based Verifiers -- A Case Study on Mathematical Reasoning." In this paper, we design and release a "Hacking Dataset" of 13 adversarial patterns (e.g., gibberish, HTML tags, empty symbols) to evaluate verifier robustness.