---
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",
    }
```