Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles.

plain_text · Size of downloaded dataset files: 35.14 MB · Size of the generated dataset: 89.92 MB · Total amount of disk used: 125.06 MB. An example of ...

The Stanford Question Answering Dataset (SQuAD) is a collection of question-answer pairs derived from Wikipedia articles. In SQuAD, the correct answers of ...

Context. The Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset consisting of questions posed by crowdworkers on a set of Wikipedia ...

13 янв. 2023 г. · Description: Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers ...

SQuAD model in DeepPavlov is based on BERT. The model predicts answer start and end position in a given context. Their performance is compared in pretrained ...

SQuAD 2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ...

The SQuAD(Stanford Question Answering Dataset) dataset consists of 100,000 questions with over 50,000 unanswerable questions and additionally assesses a ...

SQuAD is the Stanford Question Answering Dataset.

The Stanford Question Answering Dataset is a large reading comprehension dataset. This repository is intended to let people explore the dataset and visualize ...