metadata

dataset_info:
  features:
    - name: DocID
      dtype: int64
    - name: Class
      dtype: string
    - name: Text
      dtype: string
  splits:
    - name: '100'
      num_bytes: 101953667
      num_examples: 100
    - name: '500'
      num_bytes: 311855685
      num_examples: 500
    - name: '1000'
      num_bytes: 507156230
      num_examples: 1000
  download_size: 533156036
  dataset_size: 920965582
configs:
  - config_name: default
    data_files:
      - split: '100'
        path: data/100-*
      - split: '500'
        path: data/500-*
      - split: '1000'
        path: data/1000-*
license: apache-2.0
task_categories:
  - text-classification
language:
  - en
tags:
  - gutenberg
  - books
pretty_name: gutenberg books
size_categories:
  - n<1K

from datasets import load_dataset import pandas as pd

dataset = load_dataset("sartajbhuvaji/gutenberg", split="100")

split = 100 or 500 or 1000

df = dataset.data.to_pandas()