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# Elliquiy roleplaying forum data
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A collection of 6.6 million posts and 112 thousands forum threads from Elliquiy (arguably the largest and one of the oldest _adult_ roleplaying forums on the Internet), from April 2005 through April 2023. About 9 GB of uncompressed text data (including formatting tags). The data was processed from the larger [raw Forum RP dataset](https://huggingface.co/datasets/lemonilia/Roleplay-Forums_2023-04) collection I also uploaded.
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<ins>
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Basic automated cleaning was performed, but the messages are still (by deliberate choice) in HTML format, with the notable exception of converting linebreaks into `\n`.
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In addition to the messages, some metadata was provided for user convenience, as well as alternative names that could be used instead of actual usernames (in the format of `User0`, `User1` ... `UserN`). These are unique per-thread, but not globally.
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Consider this a **work in progress**. I might update the dataset in the future as I improve the cleaning procedure or the data format.
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# Limitations, quirks and issues
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During the scraping
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# Basic dataset usage
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The files need PyArrow installed from `pip` to be loaded with `pandas`. FastParquet will not work properly due to the nested data structure.
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# Elliquiy roleplaying forum data
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A collection of 6.6 million posts and 112 thousands forum threads from Elliquiy (arguably the largest and one of the oldest _adult_ roleplaying forums on the Internet), from April 2005 through April 2023. About 9 GB of uncompressed text data (including formatting tags). The data was processed from the _original source files_ that ended up composing a larger [raw Forum RP dataset](https://huggingface.co/datasets/lemonilia/Roleplay-Forums_2023-04) collection I also uploaded, but unlike those they don't have spacing issues between HTML tags. I've also provided here those original source files, in a compressed archive.
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<ins>Note that only _solo_ and _small-group_ roleplays ("games") and OOC threads from the "Play-By-Post" sections were scraped, not the various "social" sections.</ins>
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Basic automated cleaning was performed, but the messages are still (by deliberate choice) in HTML format, with the notable exception of converting linebreaks into `\n`. In addition to the messages, some metadata was provided for user convenience, as well as alternative names that could be used instead of actual usernames (in the format of `User0`, `User1` ... `UserN`). These are unique per-thread, but not globally.
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Consider this a **work in progress**. I might update the dataset in the future as I improve the cleaning procedure or the data format.
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# Limitations, quirks and issues
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- During the scraping process (performed on April 2023) some information like text color and links got lost.
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- Given the text formatting used by many users, automated conversion to Markdown seems very difficult without causing severe formatting problems.
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- Most of the data has a sexual nature.
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# Basic dataset usage
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The files need PyArrow installed from `pip` to be loaded with `pandas`. FastParquet will not work properly due to the nested data structure.
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