: It contains over 100,000 question-answer pairs across 500+ articles.
: The data is provided in a standard JSON format, typically split into train-v1.1.json and dev-v1.1.json . Downloads and Resources
: The official evaluation script evaluate-v1.1.py is used to calculate the performance of your model's predictions. download-versus-squad-v1-30
: You can find the dataset and evaluation scripts on the SQuAD Explorer website.
The main feature of SQuAD v1.1 is its capability. In this version, the answer to every question is a segment of text (a "span") from the corresponding reading passage. Key Features of SQuAD v1.1 : It contains over 100,000 question-answer pairs across
: Every answer is directly taken from the provided Wikipedia article context.
: The dataset is also available for easier programmatic access through Hugging Face Datasets and TensorFlow Datasets . The Stanford Question Answering Dataset : You can find the dataset and evaluation
If you are looking to download the dataset or tools to work with it: