| | --- |
| | 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", |
| | } |
| | ``` |
