Women's E-Commerce Clothing Reviews with 23,486 Customer Ratings

An anonymized dataset of 23,486 customer reviews for women's clothing from a real e-commerce retailer. Each row includes review text, a rating, recommendation status, and product categorization. The data is released under a CC0 1.0 license.

Use Cases

• Sentiment analysis and text classification based on the review text and rating columns.
• Predicting customer recommendations based on review content and reviewer age.
• Analyzing product feedback trends across different clothing divisions, departments, and classes.
• Feature engineering for multivariate analysis using the nine supportive features mentioned in the description.

Strengths

• Contains 23,486 real customer reviews, providing substantial text data for analysis.
• Includes nine supportive features such as age, rating, recommendation flag, and multi-level product categorization.
• Released under a permissive CC0 1.0 license, allowing for broad use.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Data may reflect geographic or temporal bias inherent to its single, anonymized source.

Provenance

Source

Anonymous but real e-commerce retailer, sourced from OpenML.

Collection Method

Likely gathered from an online retail platform's review system.

Time Range

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Freshness

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Geography

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