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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 (0for negative,1for 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.
Dataset Usage:
from datasets import load_dataset
dataset = load_dataset("emirhanboge/sst2_llama1b_modified")
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