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emirhanboge/
sst2_mnli_qqp_llama1b_modified

Name: sst2_mnli_qqp_llama1b_modified
Rating: 2.5 (18 reviews)

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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.

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.

python

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