A machine learning librarian at Hugging Face just released a dataset composed of one million Bluesky posts, complete with when they were posted and who posted them, intended for machine learning research.
Daniel van Strien posted about the dataset on Bluesky on Tuesday:
“This dataset contains 1 million public posts collected from Bluesky Social’s firehose API, intended for machine learning research and experimentation with social media data,” the dataset description says. “Each post contains text content, metadata, and information about media attachments and reply relationships.”
The data isn’t anonymous. In the dataset, each post is listed alongside the users’ decentralized identifier, or DID; van Strien also made a search tool for finding users based on their DID and published it on Hugging Face. A quick skim through the first few hundred of the million posts shows people doing normal types of Bluesky posting—arguing about politics, talking about concerts, saying stuff like “The cat is gay” and “When’s the last time yall had Boston baked beans?”—but the dataset has also swept up a lot of adult content, too.
The data absolutely is valuable.
Having your content means having your content.
Is it? Data without an application that can use it is not useful, almost by definition.
You suddenly have a movage problem.
If the format is clearly defined, that’s literally all that matters for data to be useful. In the event they shut down, it only takes a single solo developer to make it trivial to browse your content.
Physical data is difficult to preserve. Digital in open, clearly defined formats is not.
Looks like we talking about different things. You just want a list of all your comments? To what end? Note taking? Nostalgia?
I’m talking about a social media account without a social media network. All you can do is format shift the data to have a record. You cant use it for what it was designed for in the bluesky framework.
