File size: 2,599 Bytes
40fd083 e12fd1f 40fd083 e12fd1f 40fd083 e12fd1f 40fd083 e12fd1f 40fd083 e12fd1f 40fd083 e12fd1f 40fd083 64b40fa 40fd083 a8d9758 40fd083 4f072db 40fd083 4f072db 40fd083 4f072db 40fd083 f3ebe25 40fd083 e12fd1f 40fd083 81a9da4 40fd083 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 |
---
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*](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 **~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](https://www.ebooksgratuits.com)
### 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
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}},
}
``` |