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license: afl-3.0
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license: afl-3.0
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This is the dataset used to post-train the BERTweet language model on a Masked Language Modeling (MLM) task, resulting in the CryptoBERT language model.
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The dataset contains 3.207 million unique posts from the language domain of cryptocurrency-related social media text.
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The dataset contains 1.865 million StockTwits posts, 496 thousand tweets, 172 thousand Reddit comments and 664 thousand Telegram messages.
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