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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: Recursalberg |
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--- |
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# Dataset Card for Recursalberg |
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<!-- --> |
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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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*Recursalberg* is a cleaned dataset of Project Gutenberg books. We downloaded all the publicly available Gutenberg books at the time and processed them. |
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Filtering to a total amount of tokens of **~XYZB** (llama-2-7b-chat-tokenizer) / **~XYZ** (RWKV Tokenizer) from primarily English language. |
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- **Curated by:** KaraKaraWitch |
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- **Funded by [optional]:** Recursal.ai (I work there lol) |
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- **Shared by [optional]:** KaraKaraWitch |
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- **Language(s) (NLP):** Primarily English |
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- **License:** cc-by-sa-4.0 |
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### Dataset Sources [optional] |
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- **Source Data:** [gutenberg.org (see mirroring)](https://gutenberg.org/help/mirroring.html) (rclone download) |
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### Processing |
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We performed the following downloading and processing steps to prepare Retenberg. |
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1. Use gutenberg's mirror rclone to download to a folder. |
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2. Index gutenberg with `gutenberg_index.py` (Gather all items to find html documents.) |
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3. Process all book indexes that has a html version. |
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- Remove Gutenberg pre html block, page numbers, html comments, table of contents |
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- Convert sections to markdown |
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- Clean new lines, standardize punctuations. |
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4. Save each html file into 1 jsonl 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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``` |
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### Dataset Curators |
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KaraKaraWitch. (I typically hangout in PygmalionAI discord, sometimes EleutherAI. If something is wrong, `@karakarawitch` on discord.) |
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I'd be happy if you could spread the word and recommend this dataset for your use cases `:)` |
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### Licensing Information |
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Complicated. Refer to gutenberg's license [here](https://www.gutenberg.org/policy/license.html), |
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We haven't seen any in-copyrighted books in our dataset so far so we assume it's safe for usage, unless otherwise. |
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### Citation Information |
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``` |
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@ONLINE{recursalberg, |
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title = {Recursalberg}, |
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author = {KaraKaraWitch, recursal.ai}, |
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year = {2023}, |
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howpublished = {\url{TBD}}, |
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} |
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``` |
