Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
File size: 1,007 Bytes
e2e6ac5 782ab3f e2e6ac5 782ab3f e2e6ac5 782ab3f e2e6ac5 00a6338 e2e6ac5 00a6338 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
language:
- en
license: apache-2.0
size_categories:
- n<1K
task_categories:
- text-classification
pretty_name: gutenberg books
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
- name: '10000'
num_bytes: 3744732601
num_examples: 9595
download_size: 2768127021
dataset_size: 4665698183
configs:
- config_name: default
data_files:
- split: '100'
path: data/100-*
- split: '500'
path: data/500-*
- split: '1000'
path: data/1000-*
- split: '10000'
path: data/10000-*
tags:
- gutenberg
- books
---
```python
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()
```
|