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--- |
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annotations_creators: |
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- no-annotation |
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language_creators: |
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- crowdsourced |
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license: |
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- cc-by-sa-4.0 |
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task_categories: |
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- text-generation |
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- fill-mask |
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task_ids: |
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- language-modeling |
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- masked-language-modeling |
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source_datasets: |
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- original |
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language: |
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- en |
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pretty_name: Lecture Gratuits |
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--- |
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# Dataset Card for LectureGratuits |
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![](Recursalberg.png "Clara makes her return. See recursal/Recursalberg for her description!") |
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*Waifu to catch your attention.* |
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## Dataset Details |
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### Dataset Description |
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*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. |
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Filtering to a total amount of tokens of **~X.YYB** (llama-2-7b-chat-tokenizer) / **~X.YYB** (RWKV Tokenizer) from primarily English language. |
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- **Curated by:** Darok |
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- **Funded by [optional]:** Recursal.ai |
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- **Shared by [optional]:** KaraKaraWitch |
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- **Language(s) (NLP):** English |
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- **License:** Public domain? (TBC) |
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### Dataset Sources [optional] |
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- **Source Data:** [ebooksgratuits.com](https://www.ebooksgratuits.com) (rclone download) |
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### Processing |
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KaraKaraWitch doesn't have specifics on how it's processed. We have postiluated the following workflow / processing: |
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0. Get the higher ID |
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1. Enumerate and download all the epub files: `https://www.ebooksgratuits.com/newsendbook.php?id=<ID>&format=epub` |
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2. Put them in a folder called `books` |
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3. extract content to each json file in `output` folder. (See filtering steps in `extract-text.py`) |
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4. Combine into a single file. |
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### Data Keys |
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``` |
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text (str): The book's text. Converted to markdown. |
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meta (dict): A dictionary of metadata with the following keys: |
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- title |
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- author |
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- publisher |
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``` |
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### Dataset Curators |
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This dataset was mainly Darok's work. I (KaraKaraWitch) only assisted them with questions and the writing of the dataset card. |
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### Licensing Information |
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Public domain? (TBC) |
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Recursal Waifus (The banner image) are licensed under CC-BY-SA. |
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They do not represent the related websites in any official capacity unless otherwise or announced by the website. |
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You may use them as a banner image. However, you must always link back to the dataset. |
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### Citation Information |
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``` |
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@ONLINE{lecturegratuits, |
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title = {LectureGratuits}, |
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author = {Darok, KaraKaraWitch, recursal.ai}, |
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year = {2024}, |
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howpublished = {\url{https://huggingface.co/datasets/recursal/Recursalberg}}, |
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} |
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``` |