ElKulako/cryptobert-posttrain

For academic reference, cite the following paper: https://ieeexplore.ieee.org/document/10223689 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. The dataset contains 3.207 million unique posts from the language domain of cryptocurrency-related social media text. The dataset contains 1.865 million StockTwits posts, 496 thousand tweets, 172 thousand Reddit comments and 664 thousand Telegram… See the full description on the dataset page: https://huggingface.co/datasets/ElKulako/cryptobert-postt

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