metadata
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.
- Code: GitHub Repository
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:
@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},
}