V4ldeLund/faroese-sjovar-fo
Sjóvar kommuna (sjovar_fo) Status: Standalone website collection. It is not part of Faroese Dynaword. About this data Budget and account archives, governance rules, meeting records, news and general municipal content. Source: Sjóvar kommuna Size Measure Value Documents 378 Characters 793,218 Tokens 362,981 Possible official documents 5 Tokens in possible official documents 11,790 File type Documents HTML 378 PDF… See the full description on the dataset page: https://huggingface.co/datasets/V4ldeLund/faroese-sjovar-fo.
Sjóvar kommuna (sjovar_fo)
Status: Standalone website collection. It is not part of Faroese Dynaword.
About this data
Budget and account archives, governance rules, meeting records, news and general municipal content.
Source: Sjóvar kommuna
Size
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.parquetcontains 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
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
Council records and municipal rules are the clearest candidates.
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 sjovar_fo