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README.md
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@@ -129,31 +129,17 @@ An example of `train` looks as follows.
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###
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"fitness_&_health": 7,
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"food_&_dining": 8,
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"gaming": 9,
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"learning_&_educational": 10,
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"music": 11,
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"news_&_social_concern": 12,
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"other_hobbies": 13,
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"relationships": 14,
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"science_&_technology": 15,
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"sports": 16,
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"travel_&_adventure": 17,
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"youth_&_student_life": 18
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```
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### Citation Information
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### Labels
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| <span style="font-weight:normal">0: arts_&_culture</span> | <span style="font-weight:normal">5: fashion_&_style</span> | <span style="font-weight:normal">10: learning_&_educational</span> | <span style="font-weight:normal">15: science_&_technology</span> |
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|-----------------------------|---------------------|----------------------------|--------------------------|
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| 1: business_&_entrepreneurs | 6: film_tv_&_video | 11: music | 16: sports |
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| 2: celebrity_&_pop_culture | 7: fitness_&_health | 12: news_&_social_concern | 17: travel_&_adventure |
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| 3: diaries_&_daily_life | 8: food_&_dining | 13: other_hobbies | 18: youth_&_student_life |
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| 4: family | 9: gaming | 14: relationships | |
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Annotation instructions can be found [here](https://docs.google.com/document/d/1IaIXZYof3iCLLxyBdu_koNmjy--zqsuOmxQ2vOxYd_g/edit?usp=sharing).
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The label2id dictionary can be found [here](https://huggingface.co/datasets/tner/tweet_topic_multi/raw/main/dataset/label.multi.json).
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### Citation Information
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