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---
dataset_info:
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: gold_label
dtype: string
- name: genre
dtype: string
splits:
- name: train
num_bytes: 532705
num_examples: 4068
download_size: 146614
dataset_size: 532705
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-sa-4.0
task_categories:
- text-classification
language:
- en
---
# Dataset Card for "med"
Crowsourced (=original part) of the MED dataset for Monotonicity Entailment
https://github.com/verypluming/MED
```
@inproceedings{yanaka-etal-2019-neural,
title = "Can Neural Networks Understand Monotonicity Reasoning?",
author = "Yanaka, Hitomi and
Mineshima, Koji and
Bekki, Daisuke and
Inui, Kentaro and
Sekine, Satoshi and
Abzianidze, Lasha and
Bos, Johan",
booktitle = "Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP",
year = "2019",
pages = "31--40",
}
``` |