KETI-AIR/kor_anli

---
language:
- ko
license:
- cc-by-nc-4.0
size_categories:
- 100K<n<1M
task_categories:
- text-classification
task_ids:
- natural-language-inference
- multi-input-text-classification
paperswithcode_id: anli
pretty_name: Adversarial NLI
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
- name: reason
dtype: string
splits:
- name: train_r1
num_bytes: 8505556
num_examples: 16946
- name: train_r2
num_bytes: 22521662
num_examples: 45460
- name: train_r3
num_bytes: 48605206
num_examples: 100459
- name: dev_r1
num_bytes: 628891
num_examples: 1000
- name: dev_r2
num_bytes: 613763
num_examples: 1000
- name: dev_r3
num_bytes: 740840
num_examples: 1200
- name: test_r1
num_bytes: 626555
num_examples: 1000
- name: test_r2
num_bytes: 633241
num_examples: 1000
- name: test_r3
num_bytes: 736887
num_examples: 1200
download_size: 23386318
dataset_size: 83612601
---

# Dataset Card for anli

## Licensing Information

[cc-4 Attribution-NonCommercial](https://github.com/facebookresearch/anli/blob/main/LICENSE)

## Source Data Citation INformation

```
@InProceedings{nie2019adversarial,
title={Adversarial NLI: A New Benchmark for Natural Language Understanding},
author={Nie, Yixin
and Williams, Adina
and Dinan, Emily
and Bansal, Mohit
and Weston, Jason
and Kiela, Douwe},
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
year = "2020",
publisher = "Association for Computational Linguistics",
}

原始信息汇总

数据集概述

语言

• 韩语 (ko)

许可证

• CC BY-NC 4.0

数据集规模

• 100K<n<1M

任务类别

• 文本分类 (text-classification)

任务ID

• 自然语言推理 (natural-language-inference)
• 多输入文本分类 (multi-input-text-classification)

数据集信息

特征

• data_index_by_user: 数据索引，类型为 int32
• premise: 前提，类型为 string
• hypothesis: 假设，类型为 string
• label: 标签，类型为 class_label，包含以下类别：
  • 0: entailment
  • 1: neutral
  • 2: contradiction
• reason: 原因，类型为 string

数据集划分

• train_r1: 训练集第一轮，字节数 8505556，样本数 16946
• train_r2: 训练集第二轮，字节数 22521662，样本数 45460
• train_r3: 训练集第三轮，字节数 48605206，样本数 100459
• dev_r1: 开发集第一轮，字节数 628891，样本数 1000
• dev_r2: 开发集第二轮，字节数 613763，样本数 1000
• dev_r3: 开发集第三轮，字节数 740840，样本数 1200
• test_r1: 测试集第一轮，字节数 626555，样本数 1000
• test_r2: 测试集第二轮，字节数 633241，样本数 1000
• test_r3: 测试集第三轮，字节数 736887，样本数 1200

数据集大小

• 下载大小: 23386318 字节
• 数据集总大小: 83612601 字节