Amazon Beauty Product Reviews and Metadata from 2018

Amazon All Beauty 2018 dataset contains product information and user reviews for beauty items. The dataset, uploaded by smartcat, includes filtered subsets with text embeddings generated using the e5-base-v2 model. It was last updated on the Hugging Face platform on 2024-12-24.

Use Cases

• Train recommendation models based on product metadata and user reviews.
• Perform semantic search or clustering on product descriptions using the provided e5-base-v2 embeddings.
• Analyze review patterns and user engagement for beauty products.

Strengths

• Includes structured metadata and reviews, suggesting a multi-view dataset.
• Contains precomputed text embeddings (e5-base-v2) which can accelerate model development.
• Dataset was updated on 2024-12-24, indicating recent maintenance.

Limitations

• Row count and file sizes are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is incomplete, referencing a full description on an external page.

Provenance

Source

Amazon, via the author 'smartcat'.

Collection Method

Likely scraped or compiled from Amazon public data.

Time Range

2018

Freshness

Last updated 2024-12-24 15:28:16.

Geography

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