Demonstration using the SQuAD dataset
Now, we can understand the Faiss functionality with an example demo. In this example, we will use the Stanford Question Answering Dataset (SQuAD). SQuAD is a commonly used natural language processing (NLP) dataset. The dataset is based on questions raised by users in Wikipedia. The answer to each question comes from a piece of text corresponding to the reading passage, totaling 100,000 of more than 500 articles. Multiple question and answer pairs.
Before we dive into the example code, please download the SQuAD dataset:
1. Download the SQuAD dataset (https://rajpurkar.github.io/SQuAD-explorer/)
The examples in this article will use SQuAD 1.1. You can download the SQuAD 1.1 dataset here. After the download is complete, please save the downloaded JSON file (train-v1.1.json) in the common files directory.
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