Thanks!

The underlying text (1911 edition) is public domain, but the structured version here — the parsing, reconstruction, and linking — is something I put together for this site. Right now there isn’t a bulk download available. I’m considering exposing structured access (API or dataset) in some form, but haven’t decided exactly how that will work yet.

If you have a specific use case in mind (especially for training), I’d be interested to hear more.

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hallole 8 hours ago | parent | next [-]

I've wanted to do something like this for The Encyclopédie, a hugely relevant text to the Enlightenment. If you ever get around to adding a rough "How I (generally) Made This" section, that'd be appreciated! Site looks great :)

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logicallee 9 hours ago | parent | prev [-]

Regarding the specific use case, I was thinking this: I had Gemma 4 (a small but highly capable offline model released by Google) make a public domain cc0 encyclopedia of some core science and technology concepts[1]. I thought it was pretty good.

Separately, I've fine-tuned the Gemma 4 model[2], it was very quick (just 90 seconds), so I think it could be interesting to train it to talk like 1911 Encyclopedia Britannica.

I would use the entries as training data and train it to talk in the same style. There isn't a specific use case for why, I just think it would be interesting. For example, I could see how it writes about modern concepts in the style of 1911 Britannica.

[1] https://stateofutopia.com/encyclopedia/

[2] To talk like a pirate! https://www.youtube.com/live/WuCxWJhrkIM

	▲	ahaspel 8 hours ago \| parent [-]
		That’s a fun idea — I can see the appeal of that style. The underlying text is public domain, but the structured version here is something I put together for the site. I haven’t released a bulk dataset yet. If you end up experimenting with it, I’d love to hear how it turns out — and I’m still figuring out what structured access might look like.