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SST-2 (Modified for LLaMA 1B)

This dataset is a modified version of the Stanford Sentiment Treebank 2 (SST-2), a binary classification dataset for sentiment analysis.

Modifications:

Labels were originally "negative" and "positive", now converted to integers (0 for negative, 1 for positive).
Each example includes a task prefix: Task: SST2 | Sentence: ...
The dataset has been tokenized using the LLaMA-1B tokenizer.
Maximum sequence length is 128 tokens.

from datasets import load_dataset
dataset = load_dataset("emirhanboge/sst2_llama1b_modified")

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