Real review distributions are J-shaped: a pile of fives, a smaller pile of ones, and very little in between. The default mix here reproduces that, so an average-rating calculation and a rating histogram both behave the way they will in production.
What you can control
- Four sentiment modes, including a polarised setting that produces only one- and five-star reviews.
- Review bodies match their rating — a two-star review complains, a five-star review does not.
- Helpful-vote counts are heavily skewed, so one review dominates and the rest have almost none.
- Verified-purchase flags appear on about seventy per cent of rows, which is where the badge logic gets tested.
What this is not
These are obviously synthetic on close reading. Publishing generated reviews as genuine customer feedback is deceptive and illegal in many jurisdictions — keep them in staging.
Questions
Why is the default distribution so top-heavy?
Because real review data is. Most people who bother to leave a review are either delighted or angry, and the delighted ones are more numerous.
Do review bodies match their star rating?
Yes. Four- and five-star reviews draw mostly from positive clauses; one- and two-star reviews draw mostly from complaints, with occasional crossover, as real reviews have.
Can I use these on a live storefront?
No. Presenting generated reviews as real customer feedback breaches consumer protection law in the EU, UK and US.