Fineweb Dataset
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Fineweb Dataset has 4 facts recorded in Dontopedia across 3 references.
Mostly:had zero(1), lacks eot tokens(1), gives(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
isFromIs From(1)
- Fineweb Edu Bytes Eot04 Npy
ex:fineweb-edu-bytes-eot04-npy
smallerThanSmaller Than(1)
- Shakespeare Dataset
ex:shakespeare-dataset
trainsOnTrains on(1)
- Fine Tuned Model
ex:fine-tuned-model
Other facts (4)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Had Zero | Eot Tokens | [1] |
| Lacks Eot Tokens | Zero | [1] |
| Gives | general-language-back | [2] |
| Training Goal | General Language | [3] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (3)
ctx:discord/blah/watt-activation/part-143ctx:discord/blah/watt-activation/part-145ctx:discord/blah/watt-activation/145- full textwatt-activation-145text/plain3 KB
doc:agent/watt-activation-145/64378aae-25d8-4d98-9efb-8655275675ddShow excerpt
[2026-03-09 15:14] xenonfun: recommending https://huggingface.co/datasets/HuggingFaceTB/everyday-conversations-llama3.1-2k for conversations at this gpt-2 small scale [2026-03-09 15:16] xenonfun: Practical recommendation: Start with everyda…
See also
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