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Hey @Nick7900, I think one way could be to use the Annotation Tool. Have you tried that? |
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I'm trying to generate new QA-dataset for a specific domain using the QuestionAnswerGenerationPipeline from this tutorial.
https://haystack.deepset.ai/tutorials/13_question_generation
This pipeline is fantastic and will save me a lot of time, but I've noticed that some of the questions and answers are incorrect.
For instance, I tried to use this text about Einstein as a demo and run the pipeline
text4 = "Albert Einstein, (born March 14, 1879, Ulm, Württemberg, Germany—died April 18, 1955, Princeton, New Jersey, U.S.), German-born physicist who developed the special and general theories of relativity and won the Nobel Prize for Physics in 1921 for his explanation of the photoelectric effect. Einstein is generally considered the most influential physicist of the 20th century."
Out of 6 QA the pipeline got 2 of them wrong.
Visualize wrong output
``
Output:
A: Albert Einstein
A: Albert Einstein (Wrong answer)
``
What is the most efficient method for handling and adjusting these QA-datasets once they have been generated?
Is there an interface where I can easily insert the QA-dataset and manually adjust them, or what do people usually do if there is an error in a QA-dataset?
Cheers,
Nick
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