Update README.md

README.md

@@ -69,7 +69,7 @@ This dataset is primarily intended for unsupervised training of text generation
 
 ### Data Splits
 
-No splitting of the data was performed. This dataset is intended for unsupervised training.
+No splitting of the data was performed.
 
 ## Dataset Creation
 
@@ -83,9 +83,21 @@ Common Crawl, do not provide enough variety, or are simply outdated.
 
 #### Initial Data Collection and Normalization
 
+*More information about any referenced scripts, commands, or programs used may be found in the BigKnow2022 GitHub repository.*
+
 First, a list of active Fandom wikis was gathered into a text file. Active is defined as "having at least 250 images on the wiki."
 This list was gathered in early January 2023, despite the actual wiki content being more recent.
 
+Second, the `scrape_fandom.py` script was used to generate and download an up to date dump for each of the wikis.
+
+Third, `wikiextractor` was used to process these dumps into single XML files containing each article stripped of all formatting
+besides links.
+
+Fourth, `dump2jsonl` was used to convert the XML files into JSONL files with an article per line. Light markdown formatting was
+applied, converting the HTML links to markdown-formatted links, and automatically making the article's title a header.
+
+Finally, the JSONL files were concatenated into the Fandom23K dataset.
+
 #### Who are the source language producers?
 
 The contributors of each wiki.