cdqa-suite/cdQA-annotator

⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.

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This tool helps you create high-quality datasets for question-answering systems. You input a collection of documents and then identify specific answers to questions within those documents, similar to the SQuAD format. This is ideal for researchers or data scientists building specialized AI models that can accurately answer questions based on a defined set of text.

No commits in the last 6 months.

Use this if you need to manually annotate text documents to build a custom dataset for training a question-answering AI model.

Not ideal if you're looking for an automated data labeling solution or a tool for general text annotation beyond question-answering pairs.

question-answering-systems natural-language-processing dataset-creation AI-training-data text-annotation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

89

Forks

43

Language

Vue

License

Apache-2.0

Last pushed

Jan 03, 2023

Commits (30d)

0

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