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@@ -134,9 +134,12 @@ In the following we present the information contained in each of the datasets.
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- ## Evaluation metrics & models
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- | **dataset** | **evaluation metric** | **gold label/s** | **model card** |
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- |---------------- |---------------------------------------------------------------------------------------------------------------- |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |---------------- |
 
 
 
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  | TweetTopic | ```macro-F1``` | _arts\_&\_culture, business\_&\_entrepreneurs, celebrity\_&\_pop\_culture, <br />diaries\_&\_daily\_life, family, fashion\_&\_style, <br />film\_tv\_&\_video, fitness\_&\_health, food\_&\_dining, <br />gaming, learning\_&\_educational, music, <br />news\_&\_social\_concern, other\_hobbies, relationships, <br />science\_&\_technology, sports, travel\_&\_adventure, <br />youth\_&\_student\_life_ | |
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  | TweetNER7 | ```macro-F1``` | _B-corporation, B-creative_work, B-event, <br />B-group, B-location, B-person, <br />B-product, I-corporation, I-creative_work, <br />I-event, I-group, I-location, <br />I-person, I-product, O_ | |
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  | TweettQA | ```answer-F1``` | - | |
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  | TweetEmotion | ```macro-F1``` | _anger, anticipation, disgust, fear, joy, love, optimism, <br />pessimism, sadness, surprise, trust_ | |
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  ## Citation Information
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  ### Main reference paper
 
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+ ## Evaluation metrics & Models
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+ | **dataset** | **evaluation metric** | **gold label** | **model card** |
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+ |-------------------|-------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------|
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  | TweetTopic | ```macro-F1``` | _arts\_&\_culture, business\_&\_entrepreneurs, celebrity\_&\_pop\_culture, <br />diaries\_&\_daily\_life, family, fashion\_&\_style, <br />film\_tv\_&\_video, fitness\_&\_health, food\_&\_dining, <br />gaming, learning\_&\_educational, music, <br />news\_&\_social\_concern, other\_hobbies, relationships, <br />science\_&\_technology, sports, travel\_&\_adventure, <br />youth\_&\_student\_life_ | |
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  | TweetNER7 | ```macro-F1``` | _B-corporation, B-creative_work, B-event, <br />B-group, B-location, B-person, <br />B-product, I-corporation, I-creative_work, <br />I-event, I-group, I-location, <br />I-person, I-product, O_ | |
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  | TweettQA | ```answer-F1``` | - | |
 
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  | TweetEmotion | ```macro-F1``` | _anger, anticipation, disgust, fear, joy, love, optimism, <br />pessimism, sadness, surprise, trust_ | |
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  ## Citation Information
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  ### Main reference paper