metadata

annotations_creators:
  - machine-translated
language_creators:
  - machine-translated
language:
  - zh
license:
  - cc-by-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - squad_v2
task_categories:
  - question-answering
task_ids:
  - open-domain-qa
  - extractive-qa
pretty_name: Chinese SQuAD 2.0

Dataset Card for Chinese SQuAD 2.0

Dataset Description

Dataset Summary

This is a Chinese translation of the SQuAD 2.0 dataset, translated from the original English version. Like SQuAD 2.0, it contains both answerable and unanswerable questions. The dataset is designed for Chinese reading comprehension and question answering tasks.

Source: ChineseSquad

Dataset Structure

The dataset is stored in Parquet format and contains the following fields:

{
    'id': string,
    'title': string,
    'context': string,
    'question': string,
    'answers': {
        'text': List[string],
        'answer_start': List[int]
    }
}

Data Splits

Split	Total Examples	Answerable	Unanswerable
train	90,027	46,529	43,498
validation	9,936	3,991	5,945

Usage

from datasets import load_dataset

# Load from Hugging Face Hub
dataset = load_dataset("real-jiakai/chinese-squad-v2")

# Example usage
example = dataset['train'][0]
print(f"Question: {example['question']}")
print(f"Context: {example['context']}")
print(f"Answer: {example['answers']['text']}")

Example output:

{
    'id': '56be85543aeaaa14008c9065',
    'title': '碧昂斯',
    'context': '碧昂丝·吉赛尔·诺尔斯·卡特（生于1981年9月4日）是美国歌手、作曲家、唱片制作人和女演员。...',
    'question': '碧昂丝在成长过程中，在哪些领域竞争？',
    'answers': {
        'text': ['歌舞'],
        'answer_start': [70]
    }
}

Citation

If you use this dataset, please cite both the original SQuAD 2.0 paper and the Chinese translation:

@inproceedings{rajpurkar-etal-2018-know,
    title = "Know What You Don't Know: Unanswerable Questions for {SQ}u{AD}",
    author = "Rajpurkar, Pranav and Jia, Robin and Liang, Percy",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics",
    year = "2018",
    pages = "784--789",
}

@misc{chinese-squad,
    title = "ChineseSquad: A Chinese Translation of SQuAD 2.0",
    author = "Zeng, Jun",
    url = "https://github.com/junzeng-pluto/ChineseSquad",
}

License

This dataset is licensed under CC BY-SA 4.0, following the original SQuAD 2.0 license.

Limitations and Bias

Current version contains ~100k examples, which is less than the original SQuAD 2.0
As a machine-translated dataset, some nuances from the original English text might be lost or altered
The answer spans are machine-aligned after translation, which might introduce some noise
The dataset inherits any biases present in the original SQuAD 2.0 dataset
Translation quality may vary across different examples