LAION-AI / LAION-AI/Open-Assistant
Data source: Wikipedia Talk Pages
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@mcleantom is already working on this.
Since Feb 12, 2023.
data
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- Python
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Description
These could make a nice question/answer data format, they're kind-of tree like but would need a lot of filtering and formatting into trees.
Some initial research if anyone wants to have a stab at this:
- The dataset is licensed under CC-SA-BY
- Data dumps are at https://dumps.wikimedia.org/enwiki/latest/ (replace en with language code of your choice)
- Talk pages are included in "pages-meta-current" and match
[a-zA-Z]+wiki\-[0-9]+\-pages\-meta\-current[0-9]+\.xml.*\.bz2 - They are 1GB each when unzipped.
bzip2 --decompress some_file.bz2createssome_file.bz2 - You'll want to use a SAX parser rather than load it all in one go, due to the file size
- Filter by
<page>elements then by<ns>1</ns>to get talk pages, and extract the<id>and<text> - All text is in MediaWiki WikiMarkup
- Conversation topic starts with
==Topic==if there is one set - Messages end with a person's user link and a timestamp
[[User:chummer|chummer]] 05:45, 13 Feb 2005 (UTC). The user link may be an IP address, both are PII - Replies to messages start on a line with some number of
:s to show how indented it is, this combined with the above is how to build the thread. - There's a lot of bile and arguments in there, so it could be useful for an argumentation model (lol) or at least need a lot of filtering.
- Much of it talks about what needs to be done or is done, might be worth filtering that out too.
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