V4ldeLund/faroese-studni-fo

Studni (studni_fo)

Status: Standalone website collection. It is not part of Faroese Dynaword.

About this data

Student-support rules, guidance, forms, HTML pages and downloadable documents.

Source: Studni

Size

Measure	Value
Documents	161
Characters	820,888
Tokens	336,130
Possible official documents	12
Tokens in possible official documents	95,941

File type	Documents
HTML	118
PDF	43
DOCX	0
CSV	0
plain text	0

The token count uses the AI-Sweden-Models/Llama-3-8B-instruct tokenizer. It counts all collected text, including other languages and repeated website text.

Files

• rows.parquet contains the collected documents.
• parser/ contains the crawler, site settings and Python requirements.

Crawl details

• Crawl started: 2026-08-15
• Crawl completed: 2026-08-15

The crawler used public sitemaps and links from the website. It stayed within the websites and file hosts listed in parser/sites.csv and followed robots.txt.

Text was taken from web pages, text-based PDFs, Word files and CSV files. Scanned PDFs and images were not read with OCR. Very short pages and exact duplicate texts were left out.

Columns

Column	Meaning
source_site, source_homepage	Website name and homepage
source_url, requested_url	Final URL and the URL first requested
title, text, content_type	Document title, extracted text and file type
retrieved_at	When the document was downloaded
text_sha256, text_characters	Text hash and character count
rights_status, rights_basis	Automatic rights label and why it was assigned
extraction_source_url, source_page_url	Extra source links when available

Rights

Some laws, decisions, notices and similar public documents may be outside copyright under section 9 of the Faroese Copyright Act.

likely_official_document only means that the title or URL matched a list of words. It is not a legal classification.

Note for this site

Rules and decisions are the clearest candidates. Links that redirected to the separate Vegleiðing website were set aside.

Known limits

• The crawl may not cover every page or old document.
• The text has not been checked by hand or filtered by language.
• Menus, headers and other repeated website text may remain.
• Text from PDFs may appear in the wrong order.
• Scanned PDFs and text inside images are missing.
• Some pages may contain personal information.

Parser

The crawler used for this website is included in the parser folder. The copy of sites.csv contains only this website.

cd parser
python -m pip install -r requirements.txt
python scrape.py --site studni_fo