Dontopedia

Idx Parameter

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Idx Parameter has 11 facts recorded in Dontopedia across 4 references, with 4 live disagreements.

11 facts·7 predicates·4 sources·4 in dispute

Mostly:rdf:type(2), used as index(2), is used as index(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (6)

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.

hasParameterHas Parameter(4)

indexesBothQueryAndPassageIndexes Both Query and Passage(1)

usesIdxUses Idx(1)

Other facts (11)

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.

11 facts
PredicateValueRef
Rdf:typeMethod Parameter[1]
Rdf:typeInteger Index[3]
Used As IndexQueries Parameter[1]
Used As IndexPassages Parameter[1]
Is Used As IndexSelf.queries[2]
Is Used As IndexSelf.passages[2]
Is Used for IndexingSelf.queries[2]
Is Used for IndexingSelf.passages[2]
Is Parameter ofGetitem Method[2]
Is Used forIndexing Queries and Passages[2]
Is Not Typedtrue[4]

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.

typebeam/457af731-04eb-4dad-8938-068f374bf55a
ex:MethodParameter
usedAsIndexbeam/457af731-04eb-4dad-8938-068f374bf55a
ex:queries-parameter
usedAsIndexbeam/457af731-04eb-4dad-8938-068f374bf55a
ex:passages-parameter
isParameterOfbeam/ed1fe5c9-0d2f-425a-9888-9c4101e2d59a
ex:getitem-method
isUsedForbeam/ed1fe5c9-0d2f-425a-9888-9c4101e2d59a
ex:indexing-queries-and-passages
isUsedAsIndexbeam/ed1fe5c9-0d2f-425a-9888-9c4101e2d59a
ex:self.queries
isUsedAsIndexbeam/ed1fe5c9-0d2f-425a-9888-9c4101e2d59a
ex:self.passages
isUsedForIndexingbeam/ed1fe5c9-0d2f-425a-9888-9c4101e2d59a
ex:self.queries
isUsedForIndexingbeam/ed1fe5c9-0d2f-425a-9888-9c4101e2d59a
ex:self.passages
typebeam/67193be4-8562-42e2-9237-cef6df1497fa
ex:IntegerIndex
isNotTypedbeam/044caebd-7135-4d04-8046-0eaeb9f0641d
true

References (4)

4 references
  1. ctx:claims/beam/457af731-04eb-4dad-8938-068f374bf55a
  2. ctx:claims/beam/ed1fe5c9-0d2f-425a-9888-9c4101e2d59a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ed1fe5c9-0d2f-425a-9888-9c4101e2d59a
      Show excerpt
      def __init__(self, queries, passages, tokenizer): self.queries = queries self.passages = passages self.tokenizer = tokenizer def __getitem__(self, idx): query = self.queries[idx] passage = se
  3. ctx:claims/beam/67193be4-8562-42e2-9237-cef6df1497fa
    • full textbeam-chunk
      text/plain1 KBdoc:beam/67193be4-8562-42e2-9237-cef6df1497fa
      Show excerpt
      self.passages = passages self.tokenizer = tokenizer def __getitem__(self, idx): query = self.queries[idx] passage = self.passages[idx] # Compute query complexity query_complexity = len(q
  4. ctx:claims/beam/044caebd-7135-4d04-8046-0eaeb9f0641d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/044caebd-7135-4d04-8046-0eaeb9f0641d
      Show excerpt
      item = {key: torch.tensor(val[idx]) for key, val in self.encodings.items()} item['labels'] = torch.tensor(self.labels[idx]) return item def __len__(self): return len(self.labels) train_dataset = TokenDa

See also

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