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This is the classification based E-commerce text dataset for 4 categories - "Electronics", "Household", "Books" and "Clothing & Accessories", which almost cover 80% of any E-commerce website. The dataset is in ".csv" format with two columns - the first column is the class name and the second one is the datapoint of that class. The data point is the product and description from the e-commerce website. The dataset has the following features : Data Set Characteristics: Multivariate Number of Instances: 50425 Number of classes: 4 Area: Computer science Attribute Characteristics: Real Number of Attributes: 1 Associated Tasks: Classification Missing Values? No The dataset has been scraped from Indian e-commerce platform.
text classification, machine learning, E commerce dataset
text classification, machine learning, E commerce dataset
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