That moment I realized my training data was ruining my AI model from the start

After 6 months of tweaking parameters, I finally noticed my model was memorizing duplicates from a bad dataset I scraped off Reddit in 2020, and now I'm wondering how many other people accidentally poisoned their own projects with garbage inputs - has anyone figured out a cheap way to clean old datasets without starting over?

3 comments

3 Comments

jenniferw8214d ago

OH BOY do I feel this. It's like finding out your secret ingredient was moldy cheese the whole time. At least now you know the pain of "free" datasets.

alexc9314d ago

Right there with you @jenniferw82, nothing like realizing your "free lunch" was just a stale sandwich with extra regret.

the_nina14d ago

300k duplicate comments from a r/AskReddit thread in 2018 was my wakeup call. I spent two weekends writing a script that just flagged exact string matches and fuzzy near-duplicates. It cleaned out about 40% of my dataset and my validation loss actually dropped. If you've got the storage space, try running a quick dedup with something like MinHashLSH - there's free libraries for it. You can also sort by timestamp and trim anything beyond a 1 year window if you know your topic shifted. It won't fix everything but it beats paying for cloud cleaning tools that charge per GB.