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---
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 [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.
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