Datasets:
File size: 4,592 Bytes
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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. |