Kaggle Datasets
Catalogue of open datasets for artificial-intelligence and research use, operated by Kaggle under Google.
Visit Kaggle Datasets (opens in a new tab)kaggle.com
- Verified
- Free to submit
- Verification required
- Registration required
- Review system unknown
PetroHrys Score
- PetroHrys Score
- 75
- Domain Rating
- Unknown
Domain Rating is a third-party metric produced by their respective providers, not by PetroHrys.com. Each recorded value carries its provider and the date it was measured. No source has been consulted for authority score, estimated traffic and referring domains, so they are not published for any record. The PetroHrys Score is a first-party editorial assessment.
Verification
- Verification status
- Verified
- Verification source
- Official website
- Last verified
- Next verification due
- Editorial reviewer
- Petro Hrys
Assessment
Strengths
- Free dataset publishing
- Large data-science audience
Limitations
- Review system not confirmed from the catalogue page
Submission guidance
Official submission page not verified.
- Submission difficulty
- Easy
- Typical listing quality
- Mixed
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.
Establishing typical approval time, review process and required submission assets requires submitting a listing and observing the result. That has not been done for any directory in this dataset, so they are not published rather than estimated.
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
Recommended industries
- Data science
- Machine learning
- Research
How the PetroHrys Score was reached
- Editorial trust 15%
- 8 / 10 How far the entries a directory publishes can be relied on as accurate.
- Business usefulness 15%
- 7 / 10 How much practical use a listing there is to the business being listed.
- Verification quality 12%
- 7 / 10 How thoroughly the directory establishes that an entry is genuine before publishing it.
- Platform reputation 10%
- 8 / 10 How the platform is regarded in its field. Deliberately not a popularity, traffic or recognition measure.
- Spam resistance 10%
- 7 / 10 How well the directory keeps low-quality and promotional entries out.
- Industry importance 10%
- 8 / 10 How central the directory is to its sector, independently of how useful one listing is.
- Long-term stability 10%
- 8 / 10 How likely the directory is to still exist, and to still carry the entry, years from now.
- Submission quality 8%
- 8 / 10 What the submission process asks for and how workable it is for the business submitting.
- Transparency 5%
- 7 / 10 How openly the directory states its rules, costs and criteria.
- Moderation quality 5%
- 7 / 10 How the directory maintains entries after publication.
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, divided by ten, so the number on this page is reproducible from the values shown. Each factor is scored from 0 to 10 by a human reviewer and weighted as shown. The definitions describe what was weighed, not a rubric: no threshold or formula maps a directory onto a value, and two reviewers could reach different numbers. The score is reproducible from the factors shown on every record, but it is an editorial judgement, not a measurement.