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metadata
license: cc-by-nc-nd-4.0
language:
  - el

Data Info:

Pandemos ("Panteion Publications") is the open-access institutional repository of Panteion University of Social and Political Sciences, Athens (https://pandemos.panteion.gr). It contains doctoral dissertations, master's and postdoctoral theses, faculty publications and course notes, organised by department, including departments that no longer exist. It also hosts an archive of digitised Greek social-science journals.

This dataset contains the full text and metadata of 20,753 documents covering a wide range of topics in the social and political sciences. It spans the period from 1827 to 2026, from the Political Constitution of Greece (Πολιτικόν Σύνταγμα της Ελλάδος, 1827) to master's theses submitted in March 2026. Most documents date from 1980 onwards, with a peak in the 2000s.

Greek accounts for 92.55% of the words in the corpus, including Modern Greek, Katharevousa and Ancient Greek. The remaining 7.45% (~33 million of 443.6 million words) is non-Greek. Documents written in other languages have been removed, so this share consists mainly of foreign-language bibliographic references, names and terms embedded in Greek text, and the English sections of bilingual documents.

Dataset Structure:

Data Files & Splits

The dataset is a single Parquet file (pandemos_clean.parquet, 1.58 GB, zstd, 326 row groups) Each row is one document (master thesis, doctoral thesis, journal article, book, etc.) from Pandemos, the institutional repository of Panteion University. content holds the full text; the other 24 columns are the repository's metadata.

Data Fields

Field Type Description
title string Document title
content string Full text extracted from the PDF and cleaned (see Data Cleaning)
abstract_el string, nullable Greek abstract
abstract_en string, nullable English abstract
description string, nullable Free-text note from the repository
title_alt string, nullable Alternative (usually English) title
authors string, nullable Authors; multiple values separated by ;
advisors string, nullable Supervisors (theses); ; -separated
committee_members string, nullable Examination committee; ; -separated
subjects_el string, nullable Subject headings / keywords; ; -separated
subjects_en string, nullable English keywords; ; -separated
date string, nullable Date as given by the repository (YYYY, YYYY-MM, YYYY-MM-DD or DD/MM/YY)
publisher string, nullable Publisher
department string, nullable Panteion University department
degree string, nullable Postgraduate programme (for theses)
type string, nullable Document type (journal article, master thesis, doctoral thesis, book, … — 23 values)
collection_names string Repository collection(s); ; -separated
collection_paths string Collection hierarchy, levels separated by >
num_collections int64 Number of collections the item belongs to (1–3)
rights string, nullable License (mostly CC BY-NC-ND 4.0 or CC0 1.0)
rights_url string, nullable License URL
journal_issn string, nullable ISSN for journal articles
citation string, nullable Bibliographic citation
url string Item page on Pandemos — unique key
pdf_url string Link to the source PDF

Dataset Statistics:

Documents:20.753

BERT tokens: 697.025.128

Words: 443.645.557

Size: 1,58 GB

License:

The data originates from the Institutional Repository / Digital Library of Panteion University and is available at https://pandemos.panteion.gr/home. Its usage is strictly for research and scientific purposes, according to the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

For feedback contact:

glossapi.team@eellak.gr

Gated Access

This dataset is distributed through Hugging Face's gated access mechanism. To request access, please provide a brief description of your project and, where applicable, a project, repository, or company URL.

By requesting access to this dataset,you acknowledge that the dataset maintainers may contact you regarding your access request and matters directly related to the administration, maintenance, security, responsible use, and licensing of the dataset, where necessary and in accordance with applicable data protection laws.