metadata

annotations_creators:
  - no-annotation
language_creators:
  - crowdsourced
license: cc-by-sa-4.0
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
  - masked-language-modeling
source_datasets:
  - original
language:
  - en
pretty_name: Lecture Gratuits
configs:
  - config_name: default
    data_files:
      - split: final
        path: data/*

Dataset Card for LectureGratuits

Waifu to catch your attention.

Dataset Details

Dataset Description

LectureGratuits is a cleaned dataset of Ebooks Gratuits books. We downloaded all the publicly available ebooks books at the time and processed them.
Filtering to a total amount of tokens of ~265.46M (llama-2-7b-chat-tokenizer) / ~253.51M (RWKV Tokenizer) from primarily English language.

Curated by: Darok
Funded by: Recursal.ai
Shared by: KaraKaraWitch
Language(s) (NLP): English
License: Public domain

Dataset Sources

Source Data: ebooksgratuits.com

Processing

KaraKaraWitch doesn't have specifics on how it's processed. We have postiluated the following workflow / processing:

Get the higher ID
Enumerate and download all the epub files: https://www.ebooksgratuits.com/newsendbook.php?id=<ID>&format=epub
Put them in a folder called books
extract content to each json file in output folder. (See filtering steps in extract-text.py)
Combine into a single file.

Data Keys

text (str): The book's text. Converted to markdown.
meta (dict): A dictionary of metadata with the following keys:
  - title
  - author
  - publisher

Dataset Curators

This dataset was mainly Darok's work. I (KaraKaraWitch) only assisted them with questions and the writing of the dataset card.

Licensing Information

The books itself is in public domain. For the post processed data under Recursal work, it's licensed as CC-BY-SA.

Recursal Waifus (The banner image) are licensed under CC-BY-SA. They do not represent the related websites in any official capacity unless otherwise or announced by the website. You may use them as a banner image. However, you must always link back to the dataset.

Citation Information

@ONLINE{lecturegratuits,
  title         = {LectureGratuits},
  author        = {Darok, KaraKaraWitch, recursal.ai},
  year          = {2024},
  howpublished  = {\url{https://huggingface.co/datasets/recursal/Recursalberg}},
}