HCAVS / README.md
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metadata
license: other
license_name: all-rights-reserved
license_link: https://hcavs.gr/
language:
  - el
  - en
tags:
  - medical

Data Info:

The HCAVS Veterinary Journal Corpus contains scientific and professional content extracted from the journal of the Hellenic Companion Animal Veterinary Society (HCAVS / Ελληνική Εταιρεία Κτηνιατρικής Ζώων Συντροφιάς). It covers 30 journal issues across Volumes 1–15 (2012–2026), represented by 237 records, including 16 complete issue-level PDFs (kind = issue) and 221 individual articles (kind = article). The corpus consists primarily of Greek-language veterinary content on companion-animal medicine, while also containing English-language material, particularly article abstracts, bibliographic references, and scientific terminology.

Dataset Structure:

Column Type Unique Notes
id str 237 16-character hash; no duplicates
issue_title str 30 Journal issue title, e.g. Τόμος N Τεύχος M – YYYY
issue_url str 30 URL of the journal issue; some URLs are percent-encoded, others use plain Greek slugs
kind str 2 article (221 records) / issue (16 records)
section str 28 Journal section; 58 records are empty
title str 235 Title of the article or issue; 2 titles are repeated
authors str 219 Author information; free text with academic degrees and affiliations mixed in; 18 records are empty
label_matches_file bool 1 True for every row; no useful variation
source str 2 Source type: archive (224 records) / media-library (13 records)
pdf_url str 237 URL of the source PDF; no duplicates
pdf_path str 237 Local path to the PDF, following the pattern hcavs_pdfs/<issue>/<file>.pdf
chars int64 236 Character count; min: 2,836; median: 5,570; max: 544,605
text str 237 Extracted textual content from the PDF
word_count int64 205 Word count; min: 379; median: 746; max: 73,395
token_count int64 218 Token count; min: 745; median: 1,548; max: 154,583

Dataset Statistics:

Tokens: 2,306,441

Words: 1,174,363

Size: 5,7 MB

License:

The source content is copyrighted by HCAVS (https://hcavs.gr/). Users should consult the official terms of use before using the dataset.

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.