DeepMind QA Corpus

Generates over a million question/answer pairs from CNN and Daily Mail articles, providing a substantial dataset for training robust machine reading comprehension models, as indicated by the script's output scale.

Uses entity anonymization techniques to create cloze-style questions, forcing models to rely on contextual understanding rather than named entities, as detailed in the linked research paper.

Supports both CNN and Daily Mail articles, offering varied text sources and writing styles, which enhances dataset generalization for QA systems.

Provides an alternative download link for processed datasets when the script fails, ensuring accessibility even if the Wayback Machine is down, as mentioned in the README.