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: 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: Recursal.ai (I work there lol)
Shared by: KaraKaraWitch
Language(s) (NLP): Primarily English
License: cc-by-sa-4.0

Dataset Sources

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.

Recursal's Vision

To make AI accessible to everyone, regardless of language, or economical status

This is the collective goal of the RWKV Open Source foundation and Recursal AI, the commercial entity who backs it.

We believe that AI should not be controlled by a select few individual organization. And that it should be made accessible regardless if you are rich or poor, or a native speaker of english.

About RWKV

RWKV is an Open Source, non profit group, under the linux foundation. Focused on developing the RWKV AI architecture, in accordence to our vision.

The RWKV architecture scales efficiently and economically. As an RNN & Transformer hybrid, it is able to provide the performance similar to leading transformer models, while having the compute and energy efficiency of an RNN based architecture.

You can find out more about the project, and latest models, at the following

About Recursal AI

Recursal AI, is the commercial entity built to provide support for RWKV model development and users, while providing commercial services via its public cloud, or private-cloud / on-premise offerings.

As part of our vision. Our commitment, is to ensure open source development and access to the best foundational AI models and datasets.

The following dataset/models provided here, is part of that commitment.

You can find out more about recursal AI here

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.

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{recursalberg,
  title         = {Recursalberg},
  author        = {KaraKaraWitch, recursal.ai},
  year          = {2024},
  howpublished  = {\url{https://huggingface.co/datasets/recursal/Recursalberg}},
}