emirhanboge/sst2_mnli_qqp_llama1b_modified

Multi-Task Dataset: SST-2 + MNLI + QQP (Modified for LLaMA 1B)

This dataset is a combination of SST-2, MNLI, and QQP for multi-task learning.

Modifications:

• Each example includes a task prefix:
  • SST-2: "Task: SST2 | Sentence: ..."
  • MNLI: "Task: MNLI | Premise: ... Hypothesis: ..."
  • QQP: "Task: QQP | Q1: ... Q2: ..."
• Labels are standardized to integer format.
• Tokenized using the LLaMA-1B tokenizer.
• Maximum sequence length is 128 tokens.

Dataset Usage:

from datasets import load_dataset
dataset = load_dataset("emirhanboge/sst2_mnli_qqp_llama1b_modified")