| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| - zh |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: longbench |
| data_files: "longbench_segmented.jsonl" |
| --- |
| |
| # Dataset Card for LongbenchSeg |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| The segmented version of [Longbench](https://huggingface.co/datasets/zai-org/LongBench) using the trained [segmenter](https://huggingface.co/Syon-Li/Qwen3-4B-Instruct-2507-Segmenter) from the paper [Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation](https://arxiv.org/abs/2605.15913). |
|
|
| We set the recursion depth to 1 and use the threshold value of 0.4. |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
|
|
| The newly introduced segmentation columns are: |
| - chunks: The segmented chunks. |
| - cut_prob: The corresponding segmenting probability for each candidate cut point. |
| - parallel_degree: The number of segmented chunks. |
|
|
|
|
| If you find this dataset useful, please cite: |
| ``` |
| @article{li2026towards, |
| title={Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation}, |
| author={Li, Shuaiyi and Zhang, Zhisong and Wang, Yan and Zhu, Lei and Ma, Dongyang and Deng, Chenlong and Deng, Yang and Lam, Wai}, |
| journal={arXiv preprint arXiv:2605.15913}, |
| year={2026} |
| } |
| ``` |
|
|
