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README.md
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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-3.0
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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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configs:
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- config_name: default
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data_files:
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- split: final
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path: jsonl/*.jsonl
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pretty_name: SCP-RECURSAL
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---
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# Dataset Card for SCP-RECURSAL
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---
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**Item ID:** SCP-RECURSAL
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**Object Class:** Safe
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**Special Containment Procedures:**
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SCP-Recursal is to be stored on the Huggingface (HF) Servers, with backup copies maintained on other secure servers.
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Access to SCP-Recursal is unrestricted, and it may be freely used and redistributed without authorization.
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**Description:** SCP-Recursal is a dataset comprising 15,456 parameter files scraped from the SCP Wiki website (scp-wiki.wikidot.com).
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The dataset is curated by KaraKaraWitch and funded by Recursal.ai.
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SCP-Recursal is a comprehensive collection of tales, series, and jokes from the SCP Wiki, spanning from 2008 to 2022.
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The dataset was created by scraping lists of tales for each year, fetching content from tale pages using BeautifulSoup selectors, and filtering out unnecessary information.
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The same process was applied to series `scp-series-1` to `scp-series-8`, while the joke SCPs were extracted from a single URL (`/joke-scps`).
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The cleaning process involved removing author credits, "More articles by" sections, "Hide list" buttons, ratings, and special characters until the next line.
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Unicode characters were also cleaned, and unnecessary text was removed. The resulting dataset is a cohesive collection of SCP-related content, ideal for language modeling tasks.
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**Experiments:**
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**Experiment 1:** "SCP-Recursal: The Ultimate Language Model"
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* Researchers used SCP-Recursal to train a language model, which was then tasked with generating a new SCP article.
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* Result: The model produced [DATA EXPUNGED]. Due to it's Memetic Effect, the computer that was in use was incinerated.
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* Conclusion: [DATA EXPUNGED]
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---
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## Dataset Details
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### Dataset Description
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