SST-2 (Stanford Sentiment Treebank, binary):
- is an NLP single-sentence classification task
- where the model takes one sentence as input
- and predicts whether sentiment is positive or negative.
Label meanings
- positive (1) = the sentence expresses positive sentiment
- negative (0) = the sentence expresses negative sentiment
Why this task matters
- tests basic sentiment understanding
- useful as a clean benchmark for classification fine-tuning
Common metrics
- accuracy