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---
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
---
# Dataset Card for LectureGratuits
*Waifu to catch your attention.*
## Dataset Details
### Dataset Description
*LectureGratuits* is a cleaned dataset of [*Ebooks Gratuits*](https://www.ebooksgratuits.com/) books. We downloaded all the publicly available ebooks books at the time and processed them.
Filtering to a total amount of tokens of **~X.YYB** (llama-2-7b-chat-tokenizer) / **~X.YYB** (RWKV Tokenizer) from primarily English language.
- **Curated by:** Darok
- **Funded by [optional]:** Recursal.ai
- **Shared by [optional]:** KaraKaraWitch
- **Language(s) (NLP):** English
- **License:** Public domain? (TBC)
### Dataset Sources [optional]
- **Source Data:** [ebooksgratuits.com](https://www.ebooksgratuits.com) (rclone download)
### Processing
KaraKaraWitch doesn't have specifics on how it's processed. We have postiluated the following workflow / processing:
0. Get the higher ID
1. Enumerate and download all the epub files: `https://www.ebooksgratuits.com/newsendbook.php?id=<ID>&format=epub`
2. Put them in a folder called `books`
3. extract content to each json file in `output` folder. (See filtering steps in `extract-text.py`)
4. 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
Public domain? (TBC)
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}},
}
``` |