Labeling Data with the Haystack Annotation Tool

Haystack provides a free annotation tool to assist in creating high-quality question answering (QA) datasets, making the process quicker and easier. Data labeling is necessary for machine learning models, involving the identification of raw data and assigning labels so that the model can properly interpret the context. The Haystack annotation tool helps coordinate team work by setting up standard questions and assigning members sets of documents. It allows users to create unique or standard questions, mark answer spans, and export the annotated dataset in SQuAD format. A well-designed question and answer pair consists of a fact-seeking question aiming to fill a gap in knowledge and an answer that is shorter rather than longer. The tool enables users to build a tailored QA pipeline using their own datasets.

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