|
--- |
|
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} |
|
} |
|
``` |
|
|
