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Tokenize Queries has 41 facts recorded in Dontopedia across 6 references, with 5 live disagreements.
Mostly:returns(3), rdf:type(3), configures model(3)
configuresModelusesfollowsBestPracticehasParameterrdfs:labelisPlaceholderhasEmptyBodyisIncompletehasIncompleteBodyOther 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.
callsFunctionCalls Function(3)ex:example_usageex:process_queries_in_batchesex:process_queries_in_batchesdescribesDescribes(2)ex:comment_tokenizeex:Function-definitioncontainsFunctionContains Function(1)ex:source-documentdefinedBeforeDefined Before(1)ex:queriesdependsOnDepends on(1)ex:process_queries_in_batcheshasComponentHas Component(1)ex:query-processing-systeminverseCallsFunctionInverse Calls Function(1)ex:process_queries_in_batchesisTokenizedIs Tokenized(1)ex:each-queryisUsedInIs Used in(1)ex:Try-except-patternrequiredByRequired by(1)ex:spaCy_modelspecifiesSpecifies(1)ex:function-definitionusedInUsed in(1)ex:nlp_variable_scopeusesUses(1)ex:process_queries_in_batchesThe 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 |
|---|---|---|
| Prepares Data for | Model.generate | [2] |
| Enables | Model Inference | [2] |
| Uses Library | Pytorch | [2] |
| Called by | Process Queries in Batches | [2] |
| Uses Dependency | Tokenizer | [2] |
| Description | tokenize queries | [2] |
| Has Implementation | Try Except Pattern | [1] |
| Is Designed for | Robust Tokenization | [1] |
| Applies to | Each Query | [1] |
| Accepts Parameter | Queries | [1] |
| Has Purpose | Robust Tokenization | [1] |
| Return Type | Tokenized Queries List | [1] |
| Defined Before | Example Usage | [3] |
| Contains Except Block | Except Block | [3] |
| Contains Try Block | Try Block | [3] |
| Contains Loop | For Loop | [3] |
| Is Called by | Parallel Tokenize Queries | [6] |
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.
doc:beam/c48ec1b7-8cad-4e4e-a93c-e3a8b519c30f- Define a function `tokenize_queries` that takes a list of queries and tokenizes each one. - Use a `try-except` block inside the loop to handle potential errors during tokenization. - If `nlp` is `None` (indicating the model faile…
doc:beam/598ca712-19ba-4363-b6ed-843a3ccf4768return reformulated_query, end_time - start_time # Define a function to process queries in batches def process_queries_in_batches(queries, batch_size=100): results = [] for i in range(0, len(queries), batch_size): batch…
doc:beam/64ac890c-16af-4487-9f86-98e635bb03f9nlp = spacy.load("en_core_web_sm") except OSError as e: print(f"Error loading spaCy model: {e}") nlp = None # Set nlp to None if loading fails # Example query queries = ["This is an example query", "Another example query"] # …
doc:beam/479453f6-dab2-4d85-9f18-0cb20af42271reformulated_query = suggestions[0] else: reformulated_query = query else: reformulated_query = query end_time = time.time() return reformulated_query, end_time - start_time # Define a fu…
doc:beam/83e14383-c855-4a1f-8c2c-fe0e2d17e86creformulated_query = query end_time = time.time() return reformulated_query, end_time - start_time # Define a function to process queries in batches def process_queries_in_batches(queries, batch_size=100): results = [] …
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