metadata

language:
  - ko
license: cc-by-4.0
size_categories:
  - 100K<n<1M
task_categories:
  - text-classification
task_ids:
  - natural-language-inference
  - multi-input-text-classification
dataset_info:
  features:
    - name: premise
      dtype: string
    - name: hypothesis
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': entailment
            '1': neutral
            '2': contradiction
    - name: data_index_by_user
      dtype: int32
  splits:
    - name: train
      num_bytes: 85943643
      num_examples: 550152
    - name: validation
      num_bytes: 1631544
      num_examples: 10000
    - name: test
      num_bytes: 1638084
      num_examples: 10000
  download_size: 27268480
  dataset_size: 89213271

Dataset Card for QASC

Licensing Information

The data is distributed under the CC BY 4.0 license.

Source Data Citation INformation

@inproceedings{snli:emnlp2015,
    Author = {Bowman, Samuel R. and Angeli, Gabor and Potts, Christopher, and Manning, Christopher D.},
    Booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
    Publisher = {Association for Computational Linguistics},
    Title = {A large annotated corpus for learning natural language inference},
    Year = {2015}
}