---
language:
- en
- es
- fi
- fr
- pt
- nl
- de
- sv
- it
license: odc-by
size_categories:
- 1K<n<10K
task_categories:
- text-generation
- feature-extraction
dataset_info:
- config_name: default
  features:
  - name: filename
    dtype: string
  - name: text
    dtype: string
  - name: lang
    dtype: string
  splits:
  - name: train
    num_bytes: 2190406903
    num_examples: 4999
  download_size: 1310735987
  dataset_size: 2190406903
- config_name: en-clean
  features:
  - name: filename
    dtype: string
  - name: text
    dtype: string
  - name: lang
    dtype: string
  - name: score
    dtype: float64
  splits:
  - name: train
    num_bytes: 1948279468.5718827
    num_examples: 4371
  download_size: 1167660575
  dataset_size: 1948279468.5718827
- config_name: english
  features:
  - name: filename
    dtype: string
  - name: text
    dtype: string
  - name: lang
    dtype: string
  splits:
  - name: train
    num_bytes: 1929258170.415883
    num_examples: 4403
  download_size: 1172514726
  dataset_size: 1929258170.415883
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
- config_name: en-clean
  data_files:
  - split: train
    path: en-clean/train-*
- config_name: english
  data_files:
  - split: train
    path: english/train-*
tags:
- gutenberg
- epub
- marker
---

# BEE-spoke-data/napierone-epub-raw

NapierOne [EPUB files](http://napierone.com.s3-eu-north-1.amazonaws.com/NapierOne/Data/EPUB/) converted with [marker](https://github.com/VikParuchuri/marker/tree/master). Seems to contain mostly books from Project Gutenberg.

## detected languages

via fasttext-langdetect

```py
{'ca': 1,
 'cy': 1,
 'da': 6,
 'de': 105,
 'en': 4403,
 'eo': 2,
 'es': 61,
 'fi': 76,
 'fr': 189,
 'he': 1,
 'hu': 5,
 'is': 1,
 'it': 40,
 'la': 6,
 'nl': 41,
 'pl': 4,
 'pt': 38,
 'sv': 10,
 'tl': 9}
```