Hugging Face's logo

Datasets:
mediabiasgroup
/
DefExtra

Tasks:
Text Classification
Question Answering
Text Retrieval
Languages:
English
ArXiv:
License:
Dataset card Files
xet
Community
DefExtra / docs /get_pdfs.md
bitwise31337's picture
bitwise31337
Upload folder using huggingface_hub
6b9aad3 verified
preview code
|
raw
history blame contribute delete
1.34 kB

Getting PDFs for DefExtra

Overview

You must supply PDFs yourself. The dataset does not ship any copyrighted excerpts.

See README.md for the high‑level overview and examples.

Recommended sources

  • Semantic Scholar: most paper_id values are Semantic Scholar IDs. You can open https://www.semanticscholar.org/paper/<paper_id> and download the PDF when available.
  • DOI landing pages: use https://doi.org/<paper_doi> to locate the publisher PDF.
  • arXiv: use https://arxiv.org/abs/<paper_arxiv>.
  • ACL Anthology: if a paper_id looks like 2024.lrec-main.952, use https://aclanthology.org/2024.lrec-main.952.

Helper script

Generate a CSV of required PDFs and links (pre-generated in the repo):

uv run python scripts/list_defextra_pdfs.py \
  --legal-csv data/defextra_legal.csv \
  --output-csv defextra_required_pdfs.csv \
  --output-md defextra_required_pdfs.md

The output includes:

  • preferred_pdf_name (the filename we recommend you use)
  • alias_pdf_names (acceptable filename aliases)
  • url_semanticscholar, url_doi, url_arxiv, url_acl

File naming

Place PDFs in one folder and name them as <paper_id>.pdf when possible. DOI/arXiv/PII aliases are supported (see alias_pdf_names in the helper output).