metadata

annotations_creators:
  - expert-generated
language_creators:
  - crowdsourced
language:
  - en
license: bsd
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - natural-language-inference
pretty_name: babi_nli
tags:
  - logical reasoning
  - nli
  - natural-language-inference
  - reasoning
  - logic
dataset_info:
  config_name: single-supporting-fact
  features:
    - name: premise
      dtype: string
    - name: hypothesis
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': not-entailed
            '1': entailed
    - name: idx
      dtype: int32
  splits:
    - name: train
      num_bytes: 223761
      num_examples: 1000
    - name: validation
      num_bytes: 112784
      num_examples: 500
    - name: test
      num_bytes: 111569
      num_examples: 500
  download_size: 91968
  dataset_size: 448114
configs:
  - config_name: single-supporting-fact
    data_files:
      - split: train
        path: single-supporting-fact/train-*
      - split: validation
        path: single-supporting-fact/validation-*
      - split: test
        path: single-supporting-fact/test-*

bAbi_nli

bAbI tasks recasted as natural language inference. https://github.com/facebookarchive/bAbI-tasks

tasksource recasting code: https://colab.research.google.com/drive/1J_RqDSw9iPxJSBvCJu-VRbjXnrEjKVvr?usp=sharing

@article{weston2015towards,
  title={Towards ai-complete question answering: A set of prerequisite toy tasks},
  author={Weston, Jason and Bordes, Antoine and Chopra, Sumit and Rush, Alexander M and Van Merri{\"e}nboer, Bart and Joulin, Armand and Mikolov, Tomas},
  journal={arXiv preprint arXiv:1502.05698},
  year={2015}
}