tweet_topic_multi / dataset /label.multi.json
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{"arts_&_culture": 0, "business_&_entrepreneurs": 1, "celebrity_&_pop_culture": 2, "diaries_&_daily_life": 3, "family": 4, "fashion_&_style": 5, "film_tv_&_video": 6, "fitness_&_health": 7, "food_&_dining": 8, "gaming": 9, "learning_&_educational": 10, "music": 11, "news_&_social_concern": 12, "other_hobbies": 13, "relationships": 14, "science_&_technology": 15, "sports": 16, "travel_&_adventure": 17, "youth_&_student_life": 18}