metadata

dataset_info:
  features:
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 22124994
      num_examples: 67349
    - name: validation
      num_bytes: 332100
      num_examples: 872
  download_size: 88794
  dataset_size: 22457094
task_categories:
  - text-classification
language:
  - en

Dataset Card for "llama2-sst2-finetuning"

Dataset Description

The Llama2-sst2-fine-tuning dataset is designed for supervised fine-tuning of the LLaMA V2 based on the GLUE SST2 for sentiment analysis classification task.
We provide two subsets: training and validation.
To ensure the effectiveness of fine-tuning, we convert the data into the prompt template for LLaMA V2 supervised fine-tuning, where the data will follow this format:

<s>[INST] <<SYS>>  
{System prompt}  
<</SYS>>  
  
{User prompt} [/INST] {Label} </s>.

The feasibility of this dataset has been tested in supervised fine-tuning on the meta-llama/Llama-2-7b-hf model.

Note. For the sake of simplicity, we have retained only one new column of data ('text').

Datasets:

OneFly7
/

llama2-sst2-fine-tuning

Dataset Card for "llama2-sst2-finetuning"

Dataset Description

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