The table contains 1956 rows and 7 columns, including COMMENT_ID, AUTHOR, DATE, CONTENT, VIDEO_NAME, and CLASS. This dataset can be used to analyze and identify spam comments on YouTube videos based on various features such as author, content, and video name.
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