Datasets:

LabID-base
/

OpenAlex-Afillation

license: cc-by-4.0
language:
  - en
  - zh
  - de
  - fr
  - es
  - it
  - pt
  - ja
  - ko
  - ar
  - ru
  - nl
  - pl
  - tr
tags:
  - affiliations
  - nlp
  - bibliometrics
  - openalex
  - ner
  - institution-disambiguation
  - academic
  - text
pretty_name: OpenAlex Affiliation Dataset
size_categories:
  - 1M<n<10M
task_categories:
  - token-classification
  - text-classification
configs:
  - config_name: 2025-12
    data_files: data/2025-12/*.csv

OpenAlex Affiliation Dataset

1,557,802 unique raw affiliation strings from 704,702 academic works published in December 2025, extracted via the OpenAlex API.

Part of the LabID project — an open pipeline for building a knowledge graph of research laboratories.

Quick start

from datasets import load_dataset

ds = load_dataset("LabID-base/OpenAlex-Afillation", "2025-12")
print(ds["train"][0])
# {"work_id": "https://openalex.org/W...", "raw_affiliation_string": "Department of..."}

Dataset statistics

Month	Collection date	Works	Total entries	Unique strings	Chunks
2025-12	2026-03-27	704,702	3,595,056	1,557,802	71

Schema

Column	Type	Description
`work_id`	string	OpenAlex work ID (e.g. `https://openalex.org/W2741809807`)
`raw_affiliation_string`	string	Raw affiliation text as written by the author

What are raw affiliation strings?

Affiliation strings are the institutional descriptions authors include in their papers, before any normalization or entity resolution:

Department of Computer Science, Stanford University, Stanford, CA 94305, USA
Institut fur Physik, Humboldt-Universitat zu Berlin, 12489 Berlin, Germany
Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brasil

Use cases

Institution disambiguation / NER — parse and normalize to known entities (ROR, GRID, Wikidata)
NLP training data — multilingual academic text for span detection, entity linking
Bibliometrics — institutional analytics, collaboration networks
Affiliation normalization — training data for models like AffilGood, S2AFF

Data source & provenance

Source: OpenAlex — fully open index of scholarly works by OurResearch. CC BY 4.0.

Pipeline: labid-base/openalex-pipeline

Each chunk is deduplicated independently. work_id is the first work in which each string appeared within the chunk.

Directory structure

data/
  2025-12/
    works_2025_12_chunk_0001.csv
    ...
    works_2025_12_chunk_0071.csv   (71 chunks, ~22K strings each)

Update schedule

Updated monthly. Each update adds a new data/{YYYY}-{MM}/ folder.

Release	Period	Status
v1	2025-12	Available
v2	2026-01	Planned

Citation

@misc{priem2022openalex,
  title={OpenAlex: A fully-open index of the world's research works},
  author={Priem, Jason and Piwowar, Heather and Orr, Richard},
  year={2022},
  eprint={2205.01833},
  archivePrefix={arXiv}
}