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The document introduces the Stanford Question Answering Dataset (SQuAD), which contains over 100,000 questions posed by crowdworkers on Wikipedia articles. For each question, the answer is a segment of text extracted from the corresponding reading passage. This dataset aims to address the need for a large, high-quality reading comprehension dataset to train modern models. Key features of SQuAD include its large size, that answers are spans of text rather than multiple choices, and that it exhibits a diversi
- Author
- Mayra Ballinas
- Language
- EN