NewsQA
Tools for compiling and using the Maluuba NewsQA dataset, a machine reading comprehension dataset based on CNN articles.
What is NewsQA?
Maluuba NewsQA is a collection of tools for compiling and using the NewsQA dataset, a machine reading comprehension dataset based on CNN news articles. It provides scripts to generate the dataset in JSON and CSV formats with annotated question-answer pairs, enabling research in natural language understanding. The project addresses the challenge of legal distribution restrictions by allowing users to reconstruct the dataset from source files.
Researchers and developers working on machine reading comprehension, question answering systems, and natural language processing who need annotated datasets for model training and evaluation.
It offers a well-structured, crowdsourced dataset with multiple answer annotations and validation metrics, specifically designed for span-based question answering tasks. The tooling ensures reproducibility despite legal constraints on direct data distribution.
Overview
Tools for using Maluuba's NewsQA Dataset (public version)
Use Cases
Best For
- Training machine reading comprehension models
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