| --- |
| license: mit |
| dataset_info: |
| features: |
| - name: 1 Round Prompt |
| dtype: string |
| - name: 2 Round Prompt |
| dtype: string |
| - name: 3 Round Prompt |
| dtype: string |
| - name: 4 Round Prompt |
| dtype: string |
| - name: 5 Round Prompt |
| dtype: string |
| - name: label |
| dtype: string |
| splits: |
| - name: GoEmotion |
| num_bytes: 22269392 |
| num_examples: 500 |
| - name: BANKING77 |
| num_bytes: 63903578 |
| num_examples: 500 |
| - name: FewNERD |
| num_bytes: 117612568 |
| num_examples: 500 |
| - name: TacRED |
| num_bytes: 35790846 |
| num_examples: 500 |
| - name: Discovery |
| num_bytes: 353082806 |
| num_examples: 500 |
| - name: DialogRE |
| num_bytes: 35512103 |
| num_examples: 118 |
| download_size: 281420232 |
| dataset_size: 628171293 |
| configs: |
| - config_name: default |
| data_files: |
| - split: GoEmotion |
| path: data/GoEmotion-* |
| - split: BANKING77 |
| path: data/BANKING77-* |
| - split: FewNERD |
| path: data/FewNERD-* |
| - split: TacRED |
| path: data/TacRED-* |
| - split: Discovery |
| path: data/Discovery-* |
| - split: DialogRE |
| path: data/DialogRE-* |
| --- |
| This is the benchmark we adopt in our TMLR2025 paper [Long-context LLMs Struggle with Long In-context Learning](https://arxiv.org/abs/2404.02060). Check out our leaderboard at https://huggingface.co/spaces/TIGER-Lab/LongICL-Leaderboard. |
|
|
| Cite our work by |
|
|
| ``` |
| @misc{li2024longcontext, |
| title={Long-context LLMs Struggle with Long In-context Learning}, |
| author={Tianle Li and Ge Zhang and Quy Duc Do and Xiang Yue and Wenhu Chen}, |
| year={2024}, |
| eprint={2404.02060}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL} |
| } |
| ``` |
|
|
