---
task_categories:
- question-answering
language:
- zh
pretty_name: LogiQA-zh
size_categories:
- 1K<n<10K
paperswithcode_id: logiqa
dataset_info:
  features:
  - name: context
    dtype: string
  - name: query
    dtype: string
  - name: options
    sequence:
      dtype: string
  - name: correct_option
    dtype: string
  splits:
  - name: train
    num_examples: 7376
  - name: validation
    num_examples: 651
  - name: test
    num_examples: 651
---
# Dataset Card for LogiQA

## Dataset Description

- **Homepage:** 
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

LogiQA is constructed from the logical comprehension problems from publically available questions of the National Civil Servants Examination of China, which are designed to test the civil servant candidates’ critical thinking and problem solving. This dataset includes the Chinese versions only.


## Dataset Structure

### Data Instances

An example from `train` looks as follows:
```
{'context': '有些广东人不爱吃辣椒.因此,有些南方人不爱吃辣椒.',
 'query': '以下哪项能保证上述论证的成立？',
 'options': ['有些广东人爱吃辣椒',
  '爱吃辣椒的有些是南方人',
  '所有的广东人都是南方人',
  '有些广东人不爱吃辣椒也不爱吃甜食'],
 'correct_option': 2}
```

### Data Fields

- `context`: a `string` feature.
- `query`: a `string` feature.
- `answers`: a `list` feature containing `string` features.
- `correct_option`: a `string` feature.


### Data Splits

|train|validation|test|
|----:|---------:|---:|
| 7376|       651| 651|


## Additional Information

### Dataset Curators

The original LogiQA was produced by Jian Liu, Leyang Cui , Hanmeng Liu, Dandan Huang, Yile Wang, and Yue Zhang.

### Licensing Information

[More Information Needed]

### Citation Information

```
@article{liu2020logiqa,
  title={Logiqa: A challenge dataset for machine reading comprehension with logical reasoning},
  author={Liu, Jian and Cui, Leyang and Liu, Hanmeng and Huang, Dandan and Wang, Yile and Zhang, Yue},
  journal={arXiv preprint arXiv:2007.08124},
  year={2020}
}
```

### Contributions
[@jiacheng-ye](https://github.com/jiacheng-ye) added this Chinese dataset.
[@lucasmccabe](https://github.com/lucasmccabe) added the English dataset.