language:en license:cc-by-4.0 size_categories:10K<n<100K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
title: AI-Generated Product Reviews Dataset
version: 1.0
date: 2024-09-30
description: A collection of approximately 8000 AI-generated product reviews for fictional brands and products across various categories.
license: cc-by-4.0
keywords:
  - AI-generated
  - product reviews
  - sentiment analysis
  - fictional brands
  - synthetic data
language: en
file_format: JSON
fields:
  - name: category
    description: The product category
    type: string
  - name: rating
    description: The rating of the product from 1 to 5
    type: integer
    constraints:
      minimum: 1
      maximum: 5
  - name: review
    description: The full text of the AI-generated product review
    type: string
---

# AI-Generated Product Reviews

## Dataset Description

This dataset contains over 10000 AI-generated product reviews for fictional brands and products. The reviews cover various categories and express a range of sentiments, providing a diverse collection of synthetic consumer feedback.

## Dataset Details

- **Format:** JSON
- **Language:** English

## Dataset Structure

Each row in the dataset contains the following fields:

1. **category**: The product category (e.g., "Smart Home: New Smart Devices")
2. **rating**: The rating of the product from 1 to 5 inclusive.
  - 1: very negative: strong displeasure (e.g., "I absolutely hate this experience.")
  - 2: negative: general discontent (e.g., "I don't like this at all.")
  - 3: neutral: indifference (e.g., "It’s okay, but nothing special.")
  - 4: positive: satisfaction (e.g., "I really like this!")
  - 5: very positive: strong joy (e.g., "This is absolutely amazing!")
3. **review**: The full text of the AI-generated product review

## Sample Entry

```json
{
  "category": "Smart Home: New Smart Devices",
  "rating": 2,
  "review": "I was thoroughly unimpressed with the λEcho Deep Cleaning System, an product in the Smart Home: New Smart Devices category. The experience was more disappointment than satisfaction, and I don't know if I would recommend it to fellow consumers. [...]"
}
```

## Key Features

- Diverse product categories
- Varied sentiment ratings (from very negative to very positive)
- Detailed and realistic-sounding reviews
- Fictional brand and product names

## Potential Uses

- Training and testing sentiment analysis models
- Developing natural language processing algorithms
- Studying patterns in consumer feedback
- Generating synthetic data for e-commerce applications

## Limitations

- Reviews are AI-generated and do not represent real consumer experiences
- Product and brand names are fictional
- May contain biases inherent in the AI model used for generation

## Ethical Considerations

- This dataset should not be used to misrepresent consumer opinions
- Researchers and developers should clearly disclose the synthetic nature of this data when using it

