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Datasets:
recursal
/
Recursalberg

Tasks:
Text Generation
Fill-Mask
Modalities:
Text
Formats:
json
Sub-tasks:
language-modeling
masked-language-modeling
Languages:
English
Size:
10K - 100K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
Recursalberg / README.md
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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 [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]

Processing

We performed the following downloading and processing steps to prepare Retenberg.

  1. Use gutenberg's mirror rclone to download to a folder.
  2. Index gutenberg with gutenberg_index.py (Gather all items to find html documents.)
  3. 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.
  4. 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          = {2023},
  howpublished  = {\url{TBD}},
}