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---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: A
dtype: string
- name: B
dtype: string
- name: E
dtype: int64
- name: H1
dtype: int64
- name: H2
dtype: int64
- name: H3
dtype: int64
- name: label
dtype: string
splits:
- name: train
num_bytes: 9803153
num_examples: 99876
- name: test
num_bytes: 550241
num_examples: 5000
- name: validation
num_bytes: 548346
num_examples: 5000
download_size: 2505053
dataset_size: 10901740
---
https://github.com/google-deepmind/logical-entailment-dataset
```
@inproceedings{
evans2018can,
title={Can Neural Networks Understand Logical Entailment?},
author={Richard Evans and David Saxton and David Amos and Pushmeet Kohli and Edward Grefenstette},
booktitle={International Conference on Learning Representations},
year={2018},
url={https://openreview.net/forum?id=SkZxCk-0Z},
}
```
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