Amazon Customer Review Sentences with Helpfulness Scores

A collection of sentences extracted from customer reviews, each labeled with a helpfulness score. The dataset is hosted on AWS Open Data and originates from Amazon. The total number of sentences and the last update date are unknown.

Use Cases

• Train models to predict review helpfulness based on sentence content.
• Analyze linguistic features correlated with high helpfulness scores.
• Generate training data for text classification tasks involving subjective user content.

Strengths

• Data is focused on a specific NLP task: scoring sentence helpfulness.
• Source is Amazon, a major platform with a large volume of user-generated reviews.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Amazon

Collection Method

Sentences extracted from customer reviews.

Time Range

unknown

Freshness

Last update date is unknown; freshness unverified.

Geography

unknown