Skip to main content
← University Guide

Open Data

BrightKey publishes two open datasets under CC-BY-4.0 — free to cite and reuse, including commercially, with attribution. We release only verifiable public data and accept no payments from the institutions we cover.

To our knowledge, no major education-ranking organization (QS, THE, Niche, Studyportals) publishes a structured open dataset. This is part of BrightKey's independent, transparent stance.

Universities dataset

299 universities across 55 countries, independently rated on six dimensions (Network Strength, Curriculum Relevance, Employability, Teaching Quality, Institutional Health, Student Experience), with country and dimension metadata.

Hugging Face ↗Kaggle ↗Methodology

International schools dataset

234 international schools across 41 cities — the verifiable public-data spine (curricula, fees, accreditation, inspection ratings, IB averages, A-Level results). Missing facts are never imputed.

Hugging Face ↗Kaggle ↗Schools guide

Getting the Japanese data

このデータセットには日本の大学 11 校と、日本国内のインターナショナルスクール 8 校が含まれます。 大学・学校いずれの CSV にも country 列があり、値が japan の行を抽出すると日本の教育機関だけを取得できます。 ブラウザで確認する場合は、大学は大学ランキング、インターナショナルスクールは東京の学校一覧をご覧ください。

The dataset includes 11 Japanese universities and 8 international schools located in Japan. Both CSVs have a country column — filter rows where it equals japan to get only the Japanese institutions:

import pandas as pd

# universities (299) and international schools (234)
unis = pd.read_csv("universities.csv")
schools = pd.read_csv("schools.csv")

japan_unis = unis[unis["country"] == "japan"]        # 11 rows
japan_schools = schools[schools["country"] == "japan"] # 8 rows

The same works after loading from Hugging Face (load_dataset, then filter on country).

License

Both datasets are released under CC-BY-4.0. You may copy, adapt, and redistribute, including commercially, with attribution to BrightKey and a link to brightkey.co. We release the factual spine; the editorial tier ratings and rich-profile prose are copyrighted and not included in the datasets.

How to cite

Permanent DOI (Zenodo, CC-BY-4.0): 10.5281/zenodo.20603841

APA

BrightKey. (2026). BrightKey Independent Education Datasets: Universities & International Schools 2026 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20603841
BrightKey. (2026). BrightKey Independent International Schools Dataset 2026 [Data set]. Hugging Face. https://huggingface.co/datasets/brightkey/intl-schools-2026

BibTeX

@dataset{brightkey_education_2026,
  author       = {BrightKey},
  title        = {BrightKey Independent Education Datasets: Universities and International Schools 2026},
  year         = {2026},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.20603841},
  url          = {https://doi.org/10.5281/zenodo.20603841},
  note         = {CC-BY-4.0}
}
@dataset{brightkey_intlschools_2026,
  author       = {BrightKey},
  title        = {BrightKey Independent International Schools Dataset 2026},
  year         = {2026},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/brightkey/intl-schools-2026},
  note         = {CC-BY-4.0}
}

Questions about the data, or a verifiable public source we missed? Contact us.