Update README.md

README.md

@@ -24,7 +24,7 @@ CryptoBERT is a pre-trained NLP model to analyse the language and sentiments of
 ## Classification Training
 The model was trained on the following labels: "Bearish" : 0, "Neutral": 1, "Bullish": 2
 
-CryptoBERT's sentiment classification head was fine-tuned on a balanced dataset of 2M labelled StockTwits posts, bootstrapped from [ElKulako/stocktwits-crypto](https://huggingface.co/datasets/ElKulako/stocktwits-crypto). 
+CryptoBERT's sentiment classification head was fine-tuned on a balanced dataset of 2M labelled StockTwits posts, sampled from [ElKulako/stocktwits-crypto](https://huggingface.co/datasets/ElKulako/stocktwits-crypto). 
 
 CryptoBERT was trained with a max sequence length of 128. Technically, it can handle sequences of up to 514 tokens, however, going beyond 128 is not recommended.