Dataset · MLC-0602 · [SAMPLE]

Product reviews

Name: Product reviews
Creator: MLchart
License: https://mlchart.com/terms/

1Description

Customer product reviews with the full review text and title, star rating, review date, helpfulness votes, verified-purchase flags where the marketplace shows them, product identifiers and categories, plus sentiment labels. Consumer brands, retailers, market researchers and teams training sentiment and aspect-extraction models use it to track product quality, compare competitors and find the complaints behind a falling rating.

Subsets

Review text
Ratings
Verified purchase metadata
Product categories
Sentiment labels

2Schema

Table 1. Fields
Field	Type	Description	Example
review_id	string	Unique review identifier	finefoods-B001E4KFG0-A3SGXH7AUHU8GW
product_id	string	Marketplace product identifier (ASIN for Amazon)	B001E4KFG0
product_category	string	Product category	Grocery and gourmet food
reviewer_id	string	Pseudonymous reviewer identifier	A3SGXH7AUHU8GW
rating	integer	Star rating, 1 to 5	5
review_date	date	Date the review was posted	2011-04-27
title / text	string	Review headline and body
helpful_votes / total_votes	integer	Helpfulness votes from other shoppers
verified_purchase	boolean	Verified-purchase flag, where the marketplace shows it (not part of these records)
sentiment_label / sentiment_method	string	Sentiment class and how it was assigned

3Sample records

Sample record 1

Table 2. Sample record 1, fields
review_id	finefoods-B001E4KFG0-A3SGXH7AUHU8GW
product_id	B001E4KFG0
product_category	Grocery and gourmet food
reviewer_id	A3SGXH7AUHU8GW
rating	5
review_date	2011-04-27
title	Good Quality Dog Food
text	I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
helpful_votes	1
total_votes	1
sentiment_label	positive
sentiment_method	from star rating (4 to 5 positive, 3 neutral, 1 to 2 negative)
source_url	https://snap.stanford.edu/data/web-FineFoods.html

{
  "review_id": "finefoods-B001E4KFG0-A3SGXH7AUHU8GW",
  "product_id": "B001E4KFG0",
  "product_category": "Grocery and gourmet food",
  "reviewer_id": "A3SGXH7AUHU8GW",
  "rating": 5,
  "review_date": "2011-04-27",
  "title": "Good Quality Dog Food",
  "text": "I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.",
  "helpful_votes": 1,
  "total_votes": 1,
  "sentiment_label": "positive",
  "sentiment_method": "from star rating (4 to 5 positive, 3 neutral, 1 to 2 negative)",
  "source_url": "https://snap.stanford.edu/data/web-FineFoods.html"
}

Sample record 2

Table 3. Sample record 2, fields
review_id	finefoods-B00813GRG4-A1D87F6ZCVE5NK
product_id	B00813GRG4
product_category	Grocery and gourmet food
reviewer_id	A1D87F6ZCVE5NK
rating	1
review_date	2012-09-07
title	Not as Advertised
text	Product arrived labeled as Jumbo Salted Peanuts...the peanuts were actually small sized unsalted. Not sure if this was an error or if the vendor intended to represent the product as "Jumbo".
helpful_votes	0
total_votes	0
sentiment_label	negative
sentiment_method	from star rating (4 to 5 positive, 3 neutral, 1 to 2 negative)
source_url	https://snap.stanford.edu/data/web-FineFoods.html

{
  "review_id": "finefoods-B00813GRG4-A1D87F6ZCVE5NK",
  "product_id": "B00813GRG4",
  "product_category": "Grocery and gourmet food",
  "reviewer_id": "A1D87F6ZCVE5NK",
  "rating": 1,
  "review_date": "2012-09-07",
  "title": "Not as Advertised",
  "text": "Product arrived labeled as Jumbo Salted Peanuts...the peanuts were actually small sized unsalted. Not sure if this was an error or if the vendor intended to represent the product as \"Jumbo\".",
  "helpful_votes": 0,
  "total_votes": 0,
  "sentiment_label": "negative",
  "sentiment_method": "from star rating (4 to 5 positive, 3 neutral, 1 to 2 negative)",
  "source_url": "https://snap.stanford.edu/data/web-FineFoods.html"
}

4Uses

Sentiment and aspect-based opinion mining
Product quality and defect monitoring
Competitive benchmarking of ratings and complaints
Training review summarization and helpfulness models
Consumer and market research

5Citation

@misc{mlchart_product_reviews_2026,
  title     = {Product reviews},
  author    = {MLchart},
  publisher = {MLchart},
  year      = {2026},
  version   = {2026.10},
  url       = {https://mlchart.com/datasets/product-reviews/}
}

MLchart. (2026). Product reviews (Version 2026.10) [Data set]. https://mlchart.com/datasets/product-reviews/

6Access

The full Product reviews dataset (MLC-0602), records on request. Delivered as JSONL, CSV or Parquet under a commercial licence.

Request the full dataset