---
license: apache-2.0
task_categories:
- text-generation
---

# Jet-Long Evaluation Datasets

This repository contains the evaluation data used in the paper [Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE](https://huggingface.co/papers/2607.07740). 

- **Code:** [GitHub Repository](https://github.com/jet-ai-projects/jet-long)

## Dataset Description

These datasets are processed versions of standard benchmarks used to evaluate the long-context capabilities of Jet-Long:
- **RULER-500**: A dataset for evaluating long-context understanding and retrieval up to 128K context.
- **PG-19-subsample**: A subsampled version of the PG-19 dataset used for evaluating long-context language modeling and perplexity.

## Citation

If you find Jet-Long or these datasets useful, please cite:

```bibtex
@misc{jetlong2026,
  title={Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE},
  author={Haozhan Tang and Zerui Wang and Yuxian Gu and Song Han and Han Cai},
  year={2026},
  eprint={2607.07740},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  url={https://arxiv.org/abs/2607.07740},
}
```