al5nfsharyh/Amazon_Customer_Review_2023

# Amazon Product Review Dataset (2023)

## Dataset Overview
The **Amazon Product Review Dataset (2023)** contains product reviews from Amazon customers. The dataset includes product information, review details, and metadata about the customers who left the reviews. This dataset can be used for various natural language processing (NLP) tasks, including sentiment analysis, review prediction, recommendation systems, and more.

- **Dataset Name**: Amazon Product Review Dataset (2023)
- **Dataset Size**: ~14 GB
- **Format**: JSON Lines (`.jsonl`)
- **Number of Records**: [Insert the number of records here]
- **License**: [Insert license information, e.g., "CC BY-SA 4.0" or "Public Domain"]

## Dataset Contents
The dataset consists of the following fields for each review:

| Column Name | Description |
|-------------------|----------------------------------------------------------|
| `reviewerID` | The unique identifier for the reviewer. |
| `asin` | The unique identifier for the product. |
| `reviewText` | The text content of the review. |
| `overall` | Rating given by the reviewer (scale of 1-5). |
| `summary` | The summary of the review. |
| `reviewTime` | The time when the review was written. |
| `helpful` | The number of helpful votes for the review. |
| `category` | The product category. |
| `brand` | The product brand. |
| `price` | Price of the product at the time of the review. |

## Dataset Use Cases
This dataset can be used for:
- Sentiment analysis
- Review classification
- Recommendation system training
- Predicting product ratings
- NLP model training and evaluation

## Dataset Access
You can access the dataset via the Hugging Face repository. You can download it using the following code:

```python
from datasets import load_dataset

dataset = load_dataset("kevykibbz/Amazon_Customer_Review_2023")