New Dataset - Review domain

This issue page has been created for discussion about adding a new dataset. After some search on the internet and specifically on this [website](https://cseweb.ucsd.edu/~jmcauley/datasets.html), I found **[Amazon Reviews](https://cseweb.ucsd.edu/~jmcauley/datasets.html#amazon_reviews)** dataset better than other existing datasets because of these reasons:
1- It is for Amazon and it includes different categories (good for our topic modeling step)
2- Amazon is one of the most common review platforms, and the dataset is well-known and trustworthy
3- It can be considered as a recent dataset and reviews are collected up to 2018
4- It includes a range of reviews from 1996 to 2018, enabling us to add more temporal-related contributions
5- It has a version called 5-core which is a subset of the data in which all users and items have at least 5 reviews for avoiding sparsity
6- It also includes metadata information of all items in the reviews
7- Keys of each record of the dataset include but are not limited to: **reviewerID**, **reviewText**, **summary**, and **reviewTime**

Other possible datasets are listed below:

- [Multi Aspect Beer Reviews](https://cseweb.ucsd.edu/~jmcauley/datasets.html#multi_aspect)
- [Google Local Reviews (2021)](https://cseweb.ucsd.edu/~jmcauley/datasets.html#google_local)
- [Google Restaurants](https://cseweb.ucsd.edu/~jmcauley/datasets.html#google_restaurants)
- [Social Recommendation Data](https://cseweb.ucsd.edu/~jmcauley/datasets.html#social_data)

No files, tests, or entry points are mentioned. Start by reviewing the dataset options and the project's existing dataset and topic-modeling workflow; done requires an agreed dataset choice and a documented path for adding it to the project.

Written by the indexing model from the issue text.