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---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: premise
dtype: string
- name: label
dtype: string
- name: hypothesis
dtype: string
splits:
- name: train
num_bytes: 1758995420.312401
num_examples: 861708
- name: validation
num_bytes: 553908139.6429919
num_examples: 210683
- name: test
num_bytes: 637709787.6263076
num_examples: 243460
download_size: 401416382
dataset_size: 2950613347.5817003
license: bsd
task_categories:
- text-classification
language:
- en
tags:
- natural-language-inference
---
# Dataset Card for "doc-nli"
https://github.com/salesforce/DocNLI/tree/main
```
@inproceedings{yin-etal-2021-docnli,
title = "{D}oc{NLI}: A Large-scale Dataset for Document-level Natural Language Inference",
author = "Yin, Wenpeng and
Radev, Dragomir and
Xiong, Caiming",
editor = "Zong, Chengqing and
Xia, Fei and
Li, Wenjie and
Navigli, Roberto",
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-acl.435",
doi = "10.18653/v1/2021.findings-acl.435",
pages = "4913--4922",
}
``` |