# 2022 Spring Competition - Psych 5710 — Data

来源：https://www.kaggle.com/competitions/2022-spring-competition-psych-5710/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<h2>File descriptions</h2>
<ul>
<li><strong>full.data.Rdata</strong> - the training and testing sets</li>
<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>

<h2>Data Set Information:</h2>

<p> The dataset provides patient reviews on specific drugs along with related conditions and a 10 star patient rating reflecting overall patient satisfaction. The data was obtained by crawling online pharmaceutical review sites. The original data was downloaded from the UCI Machine Learning repository here:</p>

<a href="https://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Drugs.com%29"> Original Drug Review Dataset</a>

<h2>Important notes:</h2>

<p> When using this dataset, you agree that you

1) only use the data for research purposes

2) don't use the data for any commercial purposes

3) don't distribute the data to anyone else

4) cite the authors.</p>


<h2>Attribute Information:</h2>

<p>doc_id: ID of the patient</p>

<p> text: patient review</p>

<p>rating (numerical): the Z-score of the 10 star patient rating</p>

<p>Weekday: what was the day of the week when the review was posted</p>

<p>Month: what was the month when the review was posted</p>

<p>Year: what was the year when the review was posted</p>

<p>usefulCount (numerical): the Z-score of the number of users who found review useful</p>

<p> DataGroup: Does the review belongs to the "Training" or to the "Testing" sets? You'll need to train your models in the "Training" set, and generate predictions of "rating" for the "Testing" set. </p>