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.
If you post something publicly, that thing will be used to train AI. Nevertheless the privacy speaks of the company.
Yes, it absolutely will. That’s why I fragrance the pandas. Just a little here and there so that some Howard will need to sort through it. The lime really comes through clearly.
Be super fucking foul and un advertiser friendly to make it less useful, OUTLAW COUNTRY
I don’t know why social media are used for training. It’s like the worst quality of data ever and it results to answers like « go kill youself » when prompted about something sad…
They are used because they are “real life” (not really but you know) conversation example