---
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()