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metadata
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",
    }