Datasets:
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: Recursalberg
Dataset Card for Recursalberg
Waifu to catch your attention.
Dataset Details
Dataset Description
Recursalberg is a cleaned dataset of Project Gutenberg books. We downloaded all the publicly available Gutenberg books at the time and processed them.
Filtering to a total amount of tokens of ~5.32B (llama-2-7b-chat-tokenizer) / ~4.83B (RWKV Tokenizer) from primarily English language.
- Curated by: KaraKaraWitch
- Funded by [optional]: Recursal.ai (I work there lol)
- Shared by [optional]: KaraKaraWitch
- Language(s) (NLP): Primarily English
- License: cc-by-sa-4.0
Dataset Sources [optional]
- Source Data: gutenberg.org (see mirroring) (rclone download)
Processing
We performed the following downloading and processing steps to prepare Retenberg.
- Use gutenberg's mirror rclone to download to a folder.
- Index gutenberg with
gutenberg_index.py
(Gather all items to find html documents.) - Process all book indexes that has a html version.
- Remove Gutenberg pre html block, page numbers, html comments, table of contents
- Convert sections to markdown
- Clean new lines, standardize punctuations.
- Save each html file into 1 jsonl file.
Data Keys
text (str): the book's text. converted to markdown.
Dataset Curators
KaraKaraWitch. (I typically hangout in PygmalionAI discord, sometimes EleutherAI. If something is wrong, @karakarawitch
on discord.)
I'd be happy if you could spread the word and recommend this dataset for your use cases :)
Licensing Information
Complicated. Refer to gutenberg's license here,
We haven't seen any in-copyrighted books in our dataset so far so we assume it's safe for usage, unless otherwise.
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{recursalberg,
title = {Recursalberg},
author = {KaraKaraWitch, recursal.ai},
year = {2024},
howpublished = {\url{https://huggingface.co/datasets/recursal/Recursalberg}},
}