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# Getting PDFs for DefExtra
## Overview
You must supply PDFs yourself. The dataset does **not** ship any copyrighted excerpts.
See [`README.md`](../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](../defextra_required_pdfs.csv)):
```bash
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).
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