| 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}, | |
| } | |
| ``` |