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