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cryptobert-posttrain

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  1. .gitattributes +0 -56
  2. data-twit.txt → ElKulako--cryptobert-posttrain/text-train.parquet +2 -2
  3. README.md +0 -8
  4. data-red.txt +0 -3
  5. data-tel.txt +0 -3
  6. stocktwits-crypto-bearish.txt +0 -0
  7. stocktwits-crypto-bullish.txt +0 -3
  8. stocktwits-crypto-neutral.txt +0 -3
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data-twit.txt → ElKulako--cryptobert-posttrain/text-train.parquet RENAMED
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README.md DELETED
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- ---
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- license: afl-3.0
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- ---
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- This is the dataset used to post-train the [BERTweet](https://huggingface.co/cardiffnlp/twitter-roberta-base) language model on a Masked Language Modeling (MLM) task, resulting in the [CryptoBERT](https://huggingface.co/ElKulako/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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