Download README.md from Nason/ipeds-database: direct link, hf CLI and curl.
- Browser
- Download file 1.71 kB
-
https://huggingface.co/datasets/Nason/ipeds-database/resolve/main/README.md
- Command line
-
hf download hf://datasets/Nason/ipeds-database/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Nason/ipeds-database/resolve/main/README.md
license: other
license_name: public-domain
tags:
- education
- ipeds
- nces
- higher-education
- duckdb
- datapond
pretty_name: IPEDS Database (NCES, 1997-2025)
size_categories:
- 10M<n<100M
IPEDS Database
Harmonized DuckDB database of NCES Integrated Postsecondary Education Data System (IPEDS) complete data files: every U.S. postsecondary institution from 1997 to the 2025-26 provisional release -- directory, admissions, enrollment, completions, tuition, financial aid, graduation rates, outcomes, staffing and finance.
Build pipeline by Paul Goldsmith-Pinkham
(also published at paulgp85/ipeds-db); this copy is rebuilt from the datapond fork
https://github.com/ian-nason/ipeds-database with the files NCES released through
July 2026. Table list, row counts and the column dictionary: see DICTIONARY.md
and the _metadata / _columns tables inside the file.
Query it remotely
INSTALL httpfs; LOAD httpfs;
ATTACH 'https://huggingface.co/datasets/Nason/ipeds-database/resolve/main/ipeds.duckdb' AS ipeds (READ_ONLY);
SELECT year, COUNT(*) AS institutions FROM ipeds.hd GROUP BY 1 ORDER BY 1 DESC LIMIT 5;
Or pip install datapond / pak::pak("datapond-db/datapond-r"), then connect to ipeds-db.
Upload (maintainer notes)
hf upload Nason/ipeds-database ./hf_dataset_card.md README.md --repo-type dataset
hf upload Nason/ipeds-database ./DICTIONARY.md DICTIONARY.md --repo-type dataset
hf upload Nason/ipeds-database ./ipeds.duckdb ipeds.duckdb --repo-type dataset
Then point the registry entry's huggingface/attach_url/github at the new locations
and set maintainer to credit both people.