Dontopedia

tokenization errors

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tokenization errors has 9 facts recorded in Dontopedia across 3 references, with 4 live disagreements.

9 facts·4 predicates·3 sources·4 in dispute

Mostly:rdf:type(2), contains(2), causes(2)

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Inbound mentions (13)

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addressesAddresses(1)

conditionalOnConditional on(1)

displayedWhenDisplayed When(1)

handlesErrorTypeHandles Error Type(1)

handlesExceptionHandles Exception(1)

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Other facts (8)

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typebeam/2c1cb8a2-63ae-4ce5-9efc-2d5c504cfc91
ex:error-type
containsbeam/2c1cb8a2-63ae-4ce5-9efc-2d5c504cfc91
ex:query-variable
containsbeam/2c1cb8a2-63ae-4ce5-9efc-2d5c504cfc91
ex:exception-object
typebeam/71b02d54-2e3e-4209-bc15-830d649e8e90
ex:Problem
labelbeam/71b02d54-2e3e-4209-bc15-830d649e8e90
tokenization errors
causesbeam/c48ec1b7-8cad-4e4e-a93c-e3a8b519c30f
ex:print-error-message
causesbeam/c48ec1b7-8cad-4e4e-a93c-e3a8b519c30f
ex:none-append
triggersbeam/c48ec1b7-8cad-4e4e-a93c-e3a8b519c30f
ex:error-message-print
triggersbeam/c48ec1b7-8cad-4e4e-a93c-e3a8b519c30f
ex:none-insertion

References (3)

3 references
  1. ctx:claims/beam/2c1cb8a2-63ae-4ce5-9efc-2d5c504cfc91
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2c1cb8a2-63ae-4ce5-9efc-2d5c504cfc91
      Show excerpt
      logging.error(f"Error tokenizing query: {query} - {str(e)}") # Run the batch processing process_queries_in_batches(test_queries) ``` ### Explanation 1. **Multiple Language Detection Libraries**: - Use `langdetect` for
  2. ctx:claims/beam/71b02d54-2e3e-4209-bc15-830d649e8e90
    • full textbeam-chunk
      text/plain1 KBdoc:beam/71b02d54-2e3e-4209-bc15-830d649e8e90
      Show excerpt
      tokens = self.tokenizer.convert_ids_to_tokens(inputs['input_ids'][0]) return tokens def search(self, query): tokens = self.tokenize(query) # Perform search using the tokens return tokens # I
  3. ctx:claims/beam/c48ec1b7-8cad-4e4e-a93c-e3a8b519c30f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c48ec1b7-8cad-4e4e-a93c-e3a8b519c30f
      Show excerpt
      - 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

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