Johnnyeee commited on
Commit
1641745
1 Parent(s): 462c56d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -5
README.md CHANGED
@@ -20,8 +20,6 @@ size_categories:
20
 
21
  ### Dataset Access
22
  - [Yelp Raw Data Download Link](https://www.yelp.com/dataset/download)
23
- - [Yelp Restaurant Training Dataset](https://yelpdata.s3.us-west-2.amazonaws.com/yelp_train.csv)
24
- - [Yelp Restaurant Testing Dataset](https://yelpdata.s3.us-west-2.amazonaws.com/yelp_test.csv)
25
 
26
  ### Raw Dataset Summary
27
  Yelp raw data encompasses a wealth of information from the Yelp platform, detailing user reviews, business ratings, and operational specifics across a diverse array of local establishments.
@@ -54,8 +52,8 @@ And we will focus solely on restaurants, so we will follow these steps to get ou
54
  - Load `yelp_academic_dataset_business.json` and `yelp_academic_dataset_review.json` as pandas DataFrames.
55
  - Perform an inner merge of these datasets based on `business_id` and filter out businesses that are not restaurants (filter out rows that `categories` doesn't contain "restaurants").
56
  - Split the yelp restaurants dataset into a training dataset and a testing dataset by shuffling the dataset and then spliting it by 80/20.
57
- - Finally, we get yelp restaurants [training](https://yelpdata.s3.us-west-2.amazonaws.com/yelp_train.csv) and [testing](https://yelpdata.s3.us-west-2.amazonaws.com/yelp_test.csv) datasets in CSV format.
58
- (You may check the data processing by this link: [Data Process Colab Link](https://colab.research.google.com/drive/1r_gUGmsawwtFpZCj23X1jWjfEi6Dw291?usp=sharing))
59
 
60
  ## Restaurant Dataset
61
 
@@ -201,4 +199,4 @@ All relative links:
201
  - Yelp Restaurant training dataset: https://yelpdata.s3.us-west-2.amazonaws.com/yelp_train.csv
202
  - Yelp Restaurant testing dataset: https://yelpdata.s3.us-west-2.amazonaws.com/yelp_test.csv
203
  - Data Processing: https://colab.research.google.com/drive/1r_gUGmsawwtFpZCj23X1jWjfEi6Dw291?usp=sharing
204
- - Setup and check: https://colab.research.google.com/drive/1B5Jd_-ZtkouRcu3DeOm3Nz6sWH_-w4lj?usp=sharing
 
20
 
21
  ### Dataset Access
22
  - [Yelp Raw Data Download Link](https://www.yelp.com/dataset/download)
 
 
23
 
24
  ### Raw Dataset Summary
25
  Yelp raw data encompasses a wealth of information from the Yelp platform, detailing user reviews, business ratings, and operational specifics across a diverse array of local establishments.
 
52
  - Load `yelp_academic_dataset_business.json` and `yelp_academic_dataset_review.json` as pandas DataFrames.
53
  - Perform an inner merge of these datasets based on `business_id` and filter out businesses that are not restaurants (filter out rows that `categories` doesn't contain "restaurants").
54
  - Split the yelp restaurants dataset into a training dataset and a testing dataset by shuffling the dataset and then spliting it by 80/20.
55
+ - Finally, we get yelp restaurants training dataset and testing dataset.
56
+ (Other than doing data processing in .py file, I also provide an individual data processing python file. Please feel free to check if you need: [Data Process Colab Link](https://colab.research.google.com/drive/1r_gUGmsawwtFpZCj23X1jWjfEi6Dw291?usp=sharing))
57
 
58
  ## Restaurant Dataset
59
 
 
199
  - Yelp Restaurant training dataset: https://yelpdata.s3.us-west-2.amazonaws.com/yelp_train.csv
200
  - Yelp Restaurant testing dataset: https://yelpdata.s3.us-west-2.amazonaws.com/yelp_test.csv
201
  - Data Processing: https://colab.research.google.com/drive/1r_gUGmsawwtFpZCj23X1jWjfEi6Dw291?usp=sharing
202
+ - Dataset Check: https://colab.research.google.com/drive/1ybXGIYUqJ7DH22A4apynfrWCMGzb2v_T?usp=sharing