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.

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 messages.
license:afl-3.0 region:us
{"license": "afl-3.0"}
TAGS
#license-afl-3.0 #region-us 

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 messages.
TAGS
#license-afl-3.0 #region-us 

passage: TAGS
#license-afl-3.0 #region-us 
