Datasets:

review-removal-services
/

review-intelligence-benchmarks

id int64 1 20	business stringlengths 8 18	platform stringclasses 10 values	review_risk_score int64 82 90	authenticity_score int64 76 86	policy_compliance_score int64 80 88	issue_detection_score int64 72 82	platform_coverage_score int64 84 92	workflow_efficiency_score int64 78 86	overall_intelligence_index int64 79 87	priority_action stringclasses 1 value	google_score int64 82 90	yelp_score int64 76 86	social_platforms_score int64 78 86	app_stores_score int64 72 82	issue_type stringclasses 8 values	notes stringlengths 18 30
1	Restaurant Chain	google	88	82	85	78	90	84	85	Issue Detection	88	82	84	78	fake	Fake review cluster detected
2	Hotel Brand	tripadvisor	86	80	84	76	88	82	83	Issue Detection	86	80	82	76	misleading	Misleading location claims
3	Law Firm	google	90	86	88	82	92	86	87	Issue Detection	90	86	86	82	defamatory	Defamatory competitor review
4	Dental Practice	yelp	84	78	82	74	86	80	81	Issue Detection	84	78	80	74	fake	Inauthentic review pattern
5	E-commerce Store	amazon	88	84	86	80	90	84	85	Issue Detection	88	84	84	80	policy-violation	Review policy breach
6	Mobile App	app-store	86	82	84	78	88	82	83	Issue Detection	86	82	82	78	spam	Spam review campaign
7	Software SaaS	g2	90	86	88	82	92	86	87	Issue Detection	90	86	86	82	conflict-of-interest	Competitor review identified
8	Rental Property	airbnb	84	78	82	74	86	80	81	Issue Detection	84	78	80	74	abusive	Abusive review content
9	Healthcare Clinic	google	88	84	86	80	90	84	85	Issue Detection	88	84	84	80	fake	Fake review burst post-dispute
10	Financial Advisor	google	86	80	84	76	88	82	83	Issue Detection	86	80	82	76	defamatory	Defamatory financial claims
11	Tech Startup	glassdoor	82	76	80	72	84	78	79	Issue Detection	82	76	78	72	misleading	Misleading workplace claims
12	Retail Store	google	88	82	86	78	90	84	85	Issue Detection	88	82	84	78	fake	Coordinated fake review attack
13	Beauty Salon	yelp	84	78	82	74	86	80	81	Issue Detection	84	78	80	74	abusive	Personal attack review
14	Real Estate Agent	zillow	86	82	84	78	88	82	83	Issue Detection	86	82	82	78	conflict-of-interest	Competitor conflict review
15	Car Dealership	google	90	86	88	82	92	86	87	Issue Detection	90	86	86	82	policy-violation	TOS violation detected
16	Education Platform	trustpilot	86	80	84	76	88	82	83	Issue Detection	86	80	82	76	spam	Bot review pattern
17	Insurance Broker	google	84	78	82	74	86	80	81	Issue Detection	84	78	80	74	misleading	Misleading service claims
18	Accounting Firm	google	88	84	86	80	90	84	85	Issue Detection	88	84	84	80	defamatory	Defamatory professional claim
19	Fitness Studio	yelp	86	80	84	76	88	82	83	Issue Detection	86	80	82	76	off-topic	Off-topic competitor mention
20	Travel Agency	tripadvisor	90	86	88	82	92	86	87	Issue Detection	90	86	86	82	fake	Fake review incentive scheme

Review Removal Intelligence Benchmarks

Benchmark dataset of 20 review management cases with individual scores for review risk, authenticity, policy compliance, issue detection, platform coverage, and workflow efficiency.

Built by ReviewRemoval.Services.

Dataset Description

This dataset contains benchmark data for an automated review management system helping businesses and reputation management teams monitor reviews, identify potential violations, and manage online reputation through structured, policy-focused review intelligence workflows.

Columns

Column	Type	Description
id	integer	Case ID
business	string	Business name
platform	string	Primary review platform
review_risk_score	integer	Review risk score (0-100)
authenticity_score	integer	Authenticity score (0-100)
policy_compliance_score	integer	Policy compliance score (0-100)
issue_detection_score	integer	Issue detection score (0-100)
platform_coverage_score	integer	Platform coverage score (0-100)
workflow_efficiency_score	integer	Workflow efficiency score (0-100)
overall_intelligence_index	integer	Overall intelligence index (0-100)
priority_action	string	Lowest scoring signal to act on first
google_score	integer	Google channel score
yelp_score	integer	Yelp channel score
social_platforms_score	integer	Social platforms score
app_stores_score	integer	App stores score
issue_type	string	Type of review issue detected
notes	string	Case notes

Review Issue Types

Type	Description
fake	Suspected fake or inauthentic review content
misleading	Inaccurate or misleading review information
abusive	Abusive, threatening, or harassing content
defamatory	Potentially defamatory or libellous claims
spam	Spam-related or promotional review content
policy-violation	Platform policy or terms of service violation
conflict-of-interest	Competitor or conflict of interest review
off-topic	Irrelevant or off-topic review content

Score Interpretation

Score	Status	Action
0-30	Critical	Immediate review management intervention required
31-60	At Risk	Significant review issues — act now
61-80	Healthy	Monitor and maintain review workflows
81-100	Excellent	Strong review management — scale monitoring

Usage

import pandas as pd
df = pd.read_csv("review_intelligence_benchmarks.csv")
print(df.head())

Links

Platform	URL
Website	https://reviewremoval.services
GitHub	https://github.com/review-removal-services/review-removal-intelligence
NPM	https://npmjs.com/package/@review-removal-services/review-removal-intelligence
PyPI	https://pypi.org/project/review-removal-intelligence
Quora	https://www.quora.com/profile/Review-Removal-Services
Pinterest	https://www.pinterest.com/ReviewRemovalServices/
SlideShare	https://www.slideshare.net/slideshow/review-removal-services-manage-remove-bad-reviews/289098529

License

MIT — ReviewRemoval.Services

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