README.md

metadata

language:
  - ko
license:
  - cc-by-nc-4.0
size_categories:
  - 100K<n<1M
task_categories:
  - text-classification
task_ids:
  - natural-language-inference
  - multi-input-text-classification
paperswithcode_id: anli
pretty_name: Adversarial NLI
dataset_info:
  features:
    - name: data_index_by_user
      dtype: int32
    - name: premise
      dtype: string
    - name: hypothesis
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': entailment
            '1': neutral
            '2': contradiction
    - name: reason
      dtype: string
  splits:
    - name: train_r1
      num_bytes: 8505556
      num_examples: 16946
    - name: train_r2
      num_bytes: 22521662
      num_examples: 45460
    - name: train_r3
      num_bytes: 48605206
      num_examples: 100459
    - name: dev_r1
      num_bytes: 628891
      num_examples: 1000
    - name: dev_r2
      num_bytes: 613763
      num_examples: 1000
    - name: dev_r3
      num_bytes: 740840
      num_examples: 1200
    - name: test_r1
      num_bytes: 626555
      num_examples: 1000
    - name: test_r2
      num_bytes: 633241
      num_examples: 1000
    - name: test_r3
      num_bytes: 736887
      num_examples: 1200
  download_size: 23386318
  dataset_size: 83612601

Dataset Card for anli

Licensing Information

cc-4 Attribution-NonCommercial

Source Data Citation INformation

@InProceedings{nie2019adversarial,
    title={Adversarial NLI: A New Benchmark for Natural Language Understanding},
    author={Nie, Yixin
                and Williams, Adina
                and Dinan, Emily
                and Bansal, Mohit
                and Weston, Jason
                and Kiela, Douwe},
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    year = "2020",
    publisher = "Association for Computational Linguistics",
}