Kaggle Datasets
Catalogue of open datasets for artificial-intelligence and research use, operated by Kaggle under Google.
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Official submission page not verified.
- Verified
- Free to submit
- Verification required
- Registration required
- Review system unknown
What this directory accepts
- Startups
- Unknown
- SaaS products
- Unknown
- Enterprises
- Unknown
- Agencies
- Unknown
- Freelancers
- Unknown
- Local businesses
- Unknown
- Developer tools
- Yes
- Open-source projects
- Yes
- Non-profits
- Unknown
- AI products
- Yes
- Mobile apps
- Unknown
- Ecommerce stores
- Unknown
Metrics
- PetroHrys Score
- 75
- Domain Rating
- Unknown
- Authority Score
- Unknown
- Estimated traffic
- Unknown
- Referring domains
- Unknown
Domain Rating, Authority Score, estimated traffic and referring domains are third-party metrics produced by their respective providers, not by PetroHrys.com. The PetroHrys Score is a first-party editorial assessment.
How the PetroHrys Score was reached
- Editorial trust 15%
- 8 / 10
- Business usefulness 15%
- 7 / 10
- Verification quality 12%
- 7 / 10
- Platform reputation 10%
- 8 / 10
- Spam resistance 10%
- 7 / 10
- Industry importance 10%
- 8 / 10
- Long-term stability 10%
- 8 / 10
- Submission quality 8%
- 8 / 10
- Transparency 5%
- 7 / 10
- Moderation quality 5%
- 7 / 10
The PetroHrys Score is a first-party editorial assessment, not a third-party authority metric. It is the weighted sum of the ten factors above, each scored from 0 to 10 by a human reviewer, with weights totalling 100%.
Verification
- Verification status
- Verified
- Verification source
- Official website
- Last verified
- Next verification due
- Editorial reviewer
- Petro Hrys
Recommended industries
- Data science
- Machine learning
- Research
Assessment
Strengths
- Free dataset publishing
- Large data-science audience
Limitations
- Review system not confirmed from the catalogue page
Submission guidance
- Submission difficulty
- Easy
- Typical listing quality
- Mixed
- Typical approval time
- Unknown
- Review process
- Unknown
Best for
- Organisations releasing open datasets
- Research teams seeking dataset visibility
Not recommended for
- Companies with no publishable dataset
- Commercial product promotion
Preparation checklist
- Dataset licence confirmed
- Column documentation prepared
Common mistakes
No common mistakes recorded yet.
Required assets
Marked Unknown unless the official submission form was read.
- Logo
- Unknown
- Website
- Unknown
- Description
- Unknown
- Categories
- Unknown
- Contact information
- Unknown
- Screenshots
- Unknown
- Business verification
- Unknown