Argsort Result
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Argsort Result has 4 facts recorded in Dontopedia across 2 references.
4 facts·4 predicates·2 sources
Mostly:ordered by(1), output of(1), sorted order(1)
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Argsort Result has 4 facts recorded in Dontopedia across 2 references.
Mostly:ordered by(1), output of(1), sorted order(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.
extractedFromExtracted From(2)ex:last_two_elementsex:last_two_indicesusedOnUsed on(1)ex:sliceTimeline 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.
doc:beam/f0cc860e-7f75-4530-abef-84dc82b5e5adterm_embedding = get_contextual_embeddings(term) closest_synonyms = [] for word, synonyms in thesaurus.items(): word_embedding = get_contextual_embeddings(word) similarities = [np.dot(term_embedding, get_context…
doc:beam/8099970e-f2d8-437f-874b-e1c72a22eeb0Assuming you have a function `rank_documents` that combines sparse and dense scores, here are some unit tests you can write using the `unittest` framework in Python: ```python import unittest import numpy as np def rank_documents(query, s…
Dontopedia is in a read-only public launch. Follow the references and disputed branches now; contributions will open after durable identity and moderation are in place.