DADIT

DADIT数据集是由博科尼大学创建的一个包含20,000个意大利Twitter用户及其3000万条推文的数据集。该数据集不仅包括用户的个人简介和头像，还提供了高质量的性别、年龄和地理位置标签，其中43%的用户有地理位置信息。数据集的创建过程涉及通过Twitter API收集数据，并手动验证性别和年龄标签的准确性。DADIT数据集主要用于训练和比较不同性别和年龄预测模型的性能，特别是在社交媒体用户的人口统计分类任务中。

The DADIT dataset, developed by Bocconi University, is a collection of 20,000 Italian Twitter users and their 30 million tweets. In addition to users' profile information and profile pictures, the dataset provides high-quality demographic labels including gender, age, and geographic location, with 43% of the users having associated geographic location data. The construction of the DADIT dataset involved data collection via the Twitter API and manual verification of the accuracy of the gender and age labels. The DADIT dataset is mainly used for training and comparing the performance of different gender and age prediction models, particularly in demographic classification tasks for social media users.