Token Dataset
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Token Dataset has 7 facts recorded in Dontopedia across 1 reference, with 2 live disagreements.
Mostly:rdf:type(2), has method(2), implements(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Class[1]all time · E8aa5db9 3e5f 4e4b B042 F2179d9b2b8f
- Custom Dataset Class[1]all time · E8aa5db9 3e5f 4e4b B042 F2179d9b2b8f
Has Methodin disputehasMethod
Implementsimplements
- Py Torch Dataset Interface[1]all time · E8aa5db9 3e5f 4e4b B042 F2179d9b2b8f
Designed fordesignedFor
- Named Entity Recognition[1]all time · E8aa5db9 3e5f 4e4b B042 F2179d9b2b8f
Inherits FrominheritsFrom
- Torch.utils.data.dataset[1]all time · E8aa5db9 3e5f 4e4b B042 F2179d9b2b8f
Inbound mentions (1)
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.
affectsAffects(1)
- Code Completeness
ex:code-completeness
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 (1)
- custom
ctx:claims/beam/e8aa5db9-3e5f-4e4b-b042-f2179d9b2b8f- full textbeam-chunktext/plain1 KB
doc:beam/e8aa5db9-3e5f-4e4b-b042-f2179d9b2b8fShow excerpt
tokenized_texts = [tokenize_text(text) for text in texts] # Evaluate accuracy def evaluate_accuracy(tokenized_texts, ground_truth): correct = 0 total = 0 for tokenized, truth in zip(tokenized_texts, ground_truth): for t…
See also
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