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---
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",
} |