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README.md

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 # tweet-topic-19-single
 
-This is a roBERTa-base model  trained on ~90m tweets until the end of 2019 (see [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m)), and finetuned for single-label topic classification on a corpus of 6,997 tweets.
+This is a roBERTa-base model  trained on ~90m tweets until the end of 2019 (see [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m)), and finetuned for single-label topic classification on a corpus of 6,997 [tweets](https://huggingface.co/datasets/cardiffnlp/tweet_topic_single).
 The original roBERTa-base model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m) and the original reference paper is [TweetEval](https://github.com/cardiffnlp/tweeteval). This model is suitable for English. 
 
-- Reference Paper: [TimeLMs paper](https://arxiv.org/abs/2202.03829). 
+- Reference Papers: [TimeLMs paper](https://arxiv.org/abs/2202.03829), [TweetTopic](https://arxiv.org/abs/2209.09824). 
 - Git Repo: [TimeLMs official repository](https://github.com/cardiffnlp/timelms).
 
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