IF_multi_constraints_upto5

## Dataset

This is the IF-RLVR training data, with up to 5 constraints per instruction. The constraints are sampled from IFEval (25) and IFBench-Train (29).

## License

This dataset is licensed under ODC-BY-1.0. It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use). This dataset includes output data generated from third party models that are subject to separate terms governing their use.

## Citation
Please cite:
```
@misc{pyatkin2025generalizing,
title={Generalizing Verifiable Instruction Following},
author={Valentina Pyatkin and Saumya Malik and Victoria Graf and Hamish Ivison and Shengyi Huang and Pradeep Dasigi and Nathan Lambert and Hannaneh Hajishirzi},
year={2025},
eprint={TODO},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```

## 数据集
本数据集为IF-RLVR训练数据，每条指令最多包含5条约束。约束从IFEval（25）与IFBench-Train（29）中采样得到。

## 授权协议
本数据集采用ODC-BY-1.0协议授权发布，仅供研究与教育用途使用，并需遵循Ai2的《负责任使用指南》（https://allenai.org/responsible-use）。本数据集包含由第三方模型生成的输出数据，此类数据受其独立使用条款约束。

## 引用方式
请引用如下文献：

@misc{pyatkin2025generalizing,
title={Generalizing Verifiable Instruction Following},
author={Valentina Pyatkin and Saumya Malik and Victoria Graf and Hamish Ivison and Shengyi Huang and Pradeep Dasigi and Nathan Lambert and Hannaneh Hajishirzi},
year={2025},
eprint={TODO},
archivePrefix={arXiv},
primaryClass={cs.CL}
}

搜集汇总

背景与挑战

背景概述

该数据集是IF-RLVR的训练数据，每个指令最多包含5个约束，这些约束来源于IFEval和IFBench-Train。它采用ODC-BY-1.0许可证，适用于研究和教育用途，并包含第三方模型生成的输出数据。