Dataset: Lazada Indonesian Reviews

About this Dataset

Lazada Indonesian Reviews

Important note: starting from October 2nd 2019, published datasets will only be merged .csv files and not separated by categories.

Context

I am currently working on my undergraduate thesis about sentiment analysis using my first published dataset on Kaggle, Amazon Cell Phones Reviews. Before I decided to use this dataset, I planned to use Indonesian product reviews on online stores, one of which is from Lazada Indonesia. Since there's not much product reviews on Indonesian, I decided to start this dataset collection using Lazada Indonesia's vast product categories.

Content

yyyymmdd-items.csv contains item entries from listed categories on categories.txt
yyyymmdd-reviews.csv contains reviews from items listed on yyyymmdd-items.csv
categories.txt contains list of categories for currently available files

Acknowledgements

Datasets are retrieved using Puppeteer, which I also publish the project for this dataset on GitHub.

Tables

N 20191002 Items

@kaggle.grikomsn_lazada_indonesian_reviews.n_20191002_items

497.74 KB
10942 rows
9 columns


CREATE TABLE n_20191002_items (
  "itemid" BIGINT,
  "category" VARCHAR,
  "name" VARCHAR,
  "brandname" VARCHAR,
  "url" VARCHAR,
  "price" BIGINT,
  "averagerating" BIGINT,
  "totalreviews" BIGINT,
  "retrieveddate" TIMESTAMP
);

N 20191002 Reviews

@kaggle.grikomsn_lazada_indonesian_reviews.n_20191002_reviews

6.76 MB
203787 rows
15 columns


CREATE TABLE n_20191002_reviews (
  "itemid" BIGINT,
  "category" VARCHAR,
  "name" VARCHAR,
  "rating" BIGINT,
  "originalrating" DOUBLE,
  "reviewtitle" VARCHAR,
  "reviewcontent" VARCHAR,
  "likecount" BIGINT,
  "upvotes" BIGINT,
  "downvotes" BIGINT,
  "helpful" BOOLEAN,
  "relevancescore" DOUBLE,
  "boughtdate" VARCHAR,
  "clienttype" VARCHAR,
  "retrieveddate" TIMESTAMP
);