README.md

---
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
- config_name: three-arg-relations
  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: 598485
    num_examples: 1000
  - name: validation
    num_bytes: 312900
    num_examples: 500
  - name: test
    num_bytes: 324225
    num_examples: 500
  download_size: 243096
  dataset_size: 1235610
- config_name: three-supporting-facts
  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: 1479097
    num_examples: 1000
  - name: validation
    num_bytes: 783450
    num_examples: 500
  - name: test
    num_bytes: 735719
    num_examples: 500
  download_size: 558073
  dataset_size: 2998266
- config_name: two-arg-relations
  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: 122565
    num_examples: 1000
  - name: validation
    num_bytes: 61228
    num_examples: 500
  - name: test
    num_bytes: 61170
    num_examples: 500
  download_size: 54533
  dataset_size: 244963
- config_name: two-supporting-facts
  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: 507085
    num_examples: 1000
  - name: validation
    num_bytes: 261742
    num_examples: 500
  - name: test
    num_bytes: 244322
    num_examples: 500
  download_size: 194986
  dataset_size: 1013149
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-*
- config_name: three-arg-relations
  data_files:
  - split: train
    path: three-arg-relations/train-*
  - split: validation
    path: three-arg-relations/validation-*
  - split: test
    path: three-arg-relations/test-*
- config_name: three-supporting-facts
  data_files:
  - split: train
    path: three-supporting-facts/train-*
  - split: validation
    path: three-supporting-facts/validation-*
  - split: test
    path: three-supporting-facts/test-*
- config_name: two-arg-relations
  data_files:
  - split: train
    path: two-arg-relations/train-*
  - split: validation
    path: two-arg-relations/validation-*
  - split: test
    path: two-arg-relations/test-*
- config_name: two-supporting-facts
  data_files:
  - split: train
    path: two-supporting-facts/train-*
  - split: validation
    path: two-supporting-facts/validation-*
  - split: test
    path: two-supporting-facts/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

```bibtex
@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}
}
```