AnujPatnaik1/ag_news_annotated1

该数据集是一个新闻文本分类数据集，包含文本（text）和标签（label）两个特征。标签分为四个类别：World（世界新闻）、Sports（体育新闻）、Business（商业新闻）和Sci/Tech（科技新闻）。数据集分为训练集（train）和测试集（test），训练集有120,000个示例，测试集有7,600个示例，总大小约为31.7 MB。数据集用于自然语言处理任务，如文本分类模型训练和评估。This dataset is a news text classification dataset that includes two features: text and label. The labels fall into four categories: World (World News), Sports (Sports News), Business (Business News), and Sci/Tech (Science and Technology News). The dataset is split into a training set (train) and a test set (test), containing 120,000 samples in the training set and 7,600 samples in the test set, with a total size of approximately 31.7 MB. This dataset is designed for natural language processing (NLP) tasks such as training and evaluating text classification models.