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A dataset is a collection of data, often in tabular or matrix form. This tag is NOT intended for data requests ("where can I find a dataset about ...") --> see OpenData

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Transformers (BERT) vs LSTM on Sentiment Analysis/NER - dataset sizes comparison

Presuming a result of N% (supposing that threshold is achievable for both LSTM and BERT), which architecture (LSTM or BERT) would require a bigger dataset (regardless of the size, I am aware dataset size … Does BERT need a bigger dataset to achieve "good results" (an empirical observation would help me) or a, say, bidirectional LSTM? …
Timbus Calin's user avatar