Claim Normalization to Empower Fact-Checking

DATA DESCRIPTION

The dataset consists of fact-checked social media posts paired with concise, claim-oriented summaries (referred to as normalized claims), which are created by professional fact-checkers as part of the verification process. Because the dataset is not subjected to external annotation, it avoids potential biases and maintains a high level of quality.

It includes predefined training, development, and test splits, comprising nearly 6,000 posts in total.

The dataset is intentionally left unprocessed to better reflect real-world extraction scenarios. Additionally, no metadata is provided in order to preserve user privacy and protect personally identifiable information (PII).

ETHICAL USAGE COMMITMENT

By requesting access, users acknowledge and agree to use the dataset solely for ethical and lawful research purposes. The following uses are strictly prohibited:

Developing tools or algorithms intended to promote or assist in illicit activities or to evade law enforcement or regulatory oversight.

Any form of algorithmic discrimination or bias based on protected characteristics such as race, gender, sexual orientation, religion, or political beliefs.

Unauthorized access, data leakage, or any action that compromises the confidentiality or integrity of the dataset.

## 数据集说明

本数据集包含经事实核查的社交媒体帖文，以及由专业事实核查人员在核查流程中生成的简洁面向主张的摘要（即标准化主张（normalized claims））。由于该数据集未采用外部标注环节，因此规避了潜在偏倚，具备较高的质量水准。

数据集包含预设的训练集、开发集与测试集划分，总计收录近6000条帖文。

本数据集刻意保留未处理状态，以更好地还原真实世界的内容提取场景。此外，未提供任何元数据，以保护用户隐私及个人可识别信息（PII）。

## 伦理使用承诺

申请获取本数据集的用户须承认并同意，仅将其用于符合伦理规范与法律要求的研究用途。以下使用方式被严格禁止：

1. 开发旨在推动或协助非法活动、或规避执法与监管监督的工具或算法；
2. 实施基于种族、性别、性取向、宗教信仰或政治立场等受保护特征的任何形式的算法歧视或偏倚；
3. 未经授权的访问、数据泄露，或任何损害数据集保密性与完整性的行为。