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README.md
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@@ -140,18 +140,18 @@ In the following we present the information contained in each of the datasets.
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| **dataset** | **evaluation metric** | **gold label** | **model card** |
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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_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-topic) <br> [twitter-roberta-large](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-topic) |
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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_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-ner7) <br>
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| TweettQA | ```answer-F1``` | - | [flan-t5-small](https://huggingface.co/cardiffnlp/flan-t5-small-tweet-qa) <br> [flan-t5-base](https://huggingface.co/cardiffnlp/flan-t5-base-tweet-qa) |
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| TweetQG | ```METEOR``` | - | [flan-t5-small](https://huggingface.co/cardiffnlp/flan-t5-small-tweet-qg) <br> [flan-t5-base](https://huggingface.co/cardiffnlp/flan-t5-base-tweet-qg) |
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| TweetIntimacy | ```spearman correlation``` | _[1 - 5]_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-intimacy) <br> [twitter-roberta-large](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-intimacy) |
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| TweetSIM | ```spearman correlation``` | _[0 - 5]_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-similarity) <br> [twitter-roberta-large](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-similarity) |
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| TempoWIC | ```accuracy``` | _no, yes_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tempo-wic) <br> [twitter-roberta-large](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tempo-wic) |
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| TweetHate | ```combined-F1```<br /> ```(micro-F1 for hate/not-hate &```<br /> ``` macro-F1 for hate speech subclasses)``` | _hate_gender, hate_race, hate_sexuality, hate_religion, hate_origin, <br />hate_disability, hate_age, not_hate_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-hate) <br> [twitter-roberta-large](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-hate) |
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| TweetEmoji100 | ```accuracy at top 5``` | _Full emoji list: ./data/tweet_emoji/map.txt_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-emoji) <br> [twitter-roberta-large](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-emoji) |
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| TweetSentiment | ```1 - MAE^M``` <br /> ```(MAE^M : Macro Averaged Mean Absolute Error)``` | _'strongly negative' , 'negative', 'negative or neutral', <br /> 'positive', 'strongly positive'_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-sentiment) <br> [twitter-roberta-large](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-sentiment) |
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| TweetNERD | ```accuracy``` | _no, yes_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-nerd) <br> [twitter-roberta-large](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-nerd) |
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| TweetEmotion | ```macro-F1``` | _anger, anticipation, disgust, fear, joy, love, optimism, <br />pessimism, sadness, surprise, trust_ | [twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-emotion) <br> [twitter-roberta-large](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-emotion) |
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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_ | [twitter-roberta-base-topic-latest (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-topic) <br> [twitter-roberta-large-topic-latest (large)](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-topic) |
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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_ | [twitter-roberta-base-hate-latest (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-ner7) <br> TBA |
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| TweettQA | ```answer-F1``` | - | [flan-t5-small-tweet-qa (small)](https://huggingface.co/cardiffnlp/flan-t5-small-tweet-qa) <br> [flan-t5-base-tweet-qa (base)](https://huggingface.co/cardiffnlp/flan-t5-base-tweet-qa) |
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| TweetQG | ```METEOR``` | - | [flan-t5-small-tweet-qg (small)](https://huggingface.co/cardiffnlp/flan-t5-small-tweet-qg) <br> [flan-t5-base-tweet-qg (base)](https://huggingface.co/cardiffnlp/flan-t5-base-tweet-qg) |
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| TweetIntimacy | ```spearman correlation``` | _[1 - 5]_ | [twitter-roberta-base-intimacy-latest (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-intimacy) <br> [twitter-roberta-large-intimacy-latest (large)](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-intimacy) |
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| TweetSIM | ```spearman correlation``` | _[0 - 5]_ | [twitter-roberta-base-similarity-latest (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-similarity) <br> [twitter-roberta-large-similarity-latest (large)](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-similarity) |
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| TempoWIC | ```accuracy``` | _no, yes_ | [twitter-roberta-base-tempo-wic-latest (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tempo-wic) <br> [twitter-roberta-large-tempo-wic-latest (large)](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tempo-wic) |
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| TweetHate | ```combined-F1```<br /> ```(micro-F1 for hate/not-hate &```<br /> ``` macro-F1 for hate speech subclasses)``` | _hate_gender, hate_race, hate_sexuality, hate_religion, hate_origin, <br />hate_disability, hate_age, not_hate_ | [twitter-roberta-base-hate-latest-st (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-hate) <br> [twitter-roberta-large-hate-latest (large)](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-hate) |
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| TweetEmoji100 | ```accuracy at top 5``` | _Full emoji list: ./data/tweet_emoji/map.txt_ | [twitter-roberta-base-emoji-latest (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-emoji) <br> [twitter-roberta-large-emoji-latest (large)](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-emoji) |
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| TweetSentiment | ```1 - MAE^M``` <br /> ```(MAE^M : Macro Averaged Mean Absolute Error)``` | _'strongly negative' , 'negative', 'negative or neutral', <br /> 'positive', 'strongly positive'_ | [twitter-roberta-base-topic-sentiment-latest (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-sentiment) <br> [twitter-roberta-large-topic-sentiment-latest (large)](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-sentiment) |
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| TweetNERD | ```accuracy``` | _no, yes_ | [twitter-roberta-base-nerd-latest (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-nerd) <br> [twitter-roberta-large-nerd-latest (large)](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-nerd) |
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| TweetEmotion | ```macro-F1``` | _anger, anticipation, disgust, fear, joy, love, optimism, <br />pessimism, sadness, surprise, trust_ | [twitter-roberta-base-emotion-latest (base)](https://huggingface.co/cardiffnlp/twitter-roberta-base-latest-tweet-emotion) <br> [twitter-roberta-large-emotion-latest (large)](https://huggingface.co/cardiffnlp/twitter-roberta-large-latest-tweet-emotion) |
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