glossAPI/elivip

Dataset Info:

This dataset was created from content collected from the website of the Hellenic Foundation for Books and Culture (ELIVIP). ELIVIP (elivip.gr) is the official website of the Hellenic Foundation for Books and Culture, a Greek public cultural organization supervised by the Ministry of Culture. Its mission is to promote Greek literature, publishing, language, and culture in Greece and internationally. The content was extracted and processed using the Chandra document vision-language model (VLM) and the dataset contains digitized Greek magazine issues extracted from the periodicals archive of ELIVIP. The data covers 13 years: 1978–1990.

Dataset Structure:

The dataset contains 361 records, where each row corresponds to a digitized magazine issue.

Column	Description	Example
title	Publication or issue title	ΤΟ ΔΕΝΤΡΟ
content	Full extracted text of the issue in Markdown format	Very large text field
volume	Year/volume label of the issue	ΕΤΟΣ 1989
num_pages	Number of pages in the issue	704
url	Original ELIVIP archive page URL	https://elivip.gr/magazines_archive/etos-1989-2/
first_page_url	URL of the first page image	Page image URL
last_page_url	URL of the last page image	Page image URL

Dataset Statistics:

Words: 70,809,415

Tokens: 114,048,196

License:

The source website (ELIVIP) does not provide an open content license. According to its Terms of Use, reproduction, distribution, republication, modification, mirroring, or redistribution of the website's content is prohibited without prior written permission from ELIVIP. Users are responsible for complying with the original terms of use and copyright restrictions.

Contact:

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.