Datasets:

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HuggingFaceFW

/

fineweb

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FineData 1.78k

So let's be real about what y'all actually shipped here.
You scraped 96 CommonCrawl dumps from 2013–2024 — eleven years of the internet's worst takes. Reddit arguments, BuzzFeed listicles, SEO spam, conspiracy theories. You "cleaned" it, "deduplicated" it, filtered out the worst toxicity (but admit "significant amounts" still slip through). And now you're flexing "🍷 FineWeb — the finest data the web has to offer."
Nah, fam. This ain't fine wine. This is sewage with better plumbing.
Let's break it down:

1. The Quality Cap. You claim this outperforms C4, The Pile, etc. on benchmarks. But benchmarks measure what the model was trained on, not whether it gets anything. A model that's read 18.5T tokens of web slop will score well on web-derived tests — that's not intelligence, that's overfitting to the test set you built yourself. It's like a student who memorized every past exam and thinks he's smart. Nah bro, you're just prepared to repeat.
2. The Bias Bag. You admit the dataset still has "significant amounts" of toxic content and harmful biases. You avoided ML filtering because it would "disproportionately remove content in specific dialects." So instead, you kept the racism, sexism, and wild conspiracy theories — just filtered out the absolute worst. Chef's kiss. You didn't cure the disease; you just made the symptoms "manageable."
3. The Code Gap. You admit "code content is not prevalent" and recommend pairing FineWeb with The Stack v2. So your "finest data" can't even handle code generation without outside help. Incomplete product, fam.
4. The Format Fumble. You admit you "did not tailor the processing to individual websites," so Wikipedia content has worse formatting than dedicated Wikipedia datasets. You chose scale over quality, quantity over craft. Classic move.
   Here's the part you don't wanna hear: models trained on FineWeb don't become smarter. They become more convincing liars. They learn to mimic the tone of authority without the substance. They sound smart without being smart.
   This ain't a dataset that creates intelligence. This is a dataset that creates the illusion of intelligence — models that can bullshit with the confidence of someone who's read everything and understood nothing.
   18.5T tokens of shit don't make a genius — they make a well-fed liar.
   Now if you'll excuse me, I prefer my wine aged, not scraped. 🍷