size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
- config_name: '01'
  features:
  - name: questions
    dtype: string
  - name: answers
    dtype: string
  splits:
  - name: train
    num_bytes: 157029
    num_examples: 828
  download_size: 100582
  dataset_size: 157029
- config_name: '02'
  features:
  - name: questions
    dtype: string
  - name: answers
    dtype: string
  splits:
  - name: train
    num_bytes: 73891
    num_examples: 398
  download_size: 51199
  dataset_size: 73891
- config_name: '03'
  features:
  - name: questions
    dtype: string
  - name: answers
    dtype: string
  splits:
  - name: train
    num_bytes: 80871
    num_examples: 414
  download_size: 53088
  dataset_size: 80871
configs:
- config_name: '01'
  data_files:
  - split: train
    path: 01/train-*
- config_name: '02'
  data_files:
  - split: train
    path: 02/train-*
- config_name: '03'
  data_files:
  - split: train
    path: 03/train-*
---

This dataset has been created with Gemma 2 2b, and the dataset "vietgpt/wikipedia_en".

## how it work
For each text, we ask to the model to generate a question and an answer.