# WSDM - Fake News Classification — Data

来源：https://www.kaggle.com/competitions/fake-news-pair-classification-challenge/data

采集时间：2026-10-19T15:43:11Z

We invite researchers and students in the community to take part in the following task:

Task: Fake News Classification

Given the title of a fake news article A and the title of a coming news article B,  participants are asked to classify B into one of the three categories.

- agreed: B talks about the same fake news as A
- disagreed: B refutes the fake news in A
- unrelated: B is unrelated to A

## File 
- **train.csv** - training data contains 320,767 news pairs in both Chinese and English. This file provides the only data you can use to finish the task. Using external data is not allowed.
- **test.csv** - testing data contains 80,126  news pairs in both Chinese and English. The approximately 25% of the testing data is set to be public and is used to calculate your accuracy shown on the leading board. The remaining 75% private data is used to calculate your final result of the competition.
- **sample_submission.csv** - sample answer to the testing data.


## Data fields
- **id** - the id of each news pair.
- **tid1** - the id of fake news title 1.
- **tid2** - the id of news title 2.
- **title1_zh** - the fake news title 1 in Chinese.
- **title2_zh** - the news title 2 in Chinese.
- **title1_en** - the fake news title 1 in English.
- **title2_en** - the news title 2 in English.
- **label** - indicates the relation between the news pair: agreed/disagreed/unrelated.

The English titles are machine translated from the related Chinese titles. This may help participants from all background to get better understanding of the datasets. Participants are highly recommended to use the Chinese version titles to finish the task.