--- pretty_name: TopVenues Cybersecurity Corpus license: other language: - en task_categories: - text-retrieval tags: - cybersecurity - security - bibliography - literature-review - dblp size_categories: - 10K. Reproduction is verified on every change in eight environments (Ubuntu and Windows, Python 3.11 through 3.14), covering both the profile this dataset exports and the one the tools-track paper cites. - **Project page:** , with both published papers, the repository that reproduces each one, and how to cite them. - **Paper:** [arXiv:2606.18320](https://arxiv.org/abs/2606.18320), *TopVenues: A Reproducible Corpus and Tooling Substrate for Cybersecurity Literature Reviews* (SBSeg 2026, main track). - **Demonstration:** [MP4](assets/demo/topvenues-demo-v1.14.0.mp4) — 2:31, 1920x1080, with [Brazilian Portuguese](assets/demo/topvenues-demo-v1.14.0.pt-BR.vtt) and [English](assets/demo/topvenues-demo-v1.14.0.en.vtt) captions; versions with the captions burned in are beside it. It covers the problem, one command on a fresh clone, search and export, where the corpus is silent, and what a fixed list makes measurable, on `security-20-v5`. - **Pinned source of truth:** the gzipped SQLite snapshot shipped with the tool; this dataset is a faithful Parquet export of the same named snapshot. ## Release identity - **Profile:** `security-20-v6` - **Snapshot SHA-256 (gzip):** `bce4d3166c1bbe5ff67a940f6a3f3d9c20adfd9418ca3a1e3dd0746bb83b95d5` - **Source release tag:** `v1.16.0` - **Snapshot record count:** 15,286 - **Identity rule:** exact canonical DOI or stable landing page, plus Crossref-confirmed DOI aliases - **Same-metadata groups retained:** 4 - **Adjudication log:** `data/adjudication/security-20-v3-identity.json` The source release tag names the tool release that produced this export, not the latest one. Later tool releases change code and documentation; they do not touch this snapshot, and the SHA-256 above is what a reviewer should check. Regenerating the export would produce a new snapshot identity and is a deliberate release action, never a side effect of a tool update. ## Usage ```python from datasets import load_dataset corpus = load_dataset("sidneibarbieri/topvenues", split="train") security = corpus.filter(lambda paper: paper["area"] == "security") ``` ## Interface evidence [![Abstract-text search with populated previews](assets/topvenues-abstract-search.png)](assets/topvenues-abstract-search.pdf) This archived capture demonstrates the **Abstract contains** workflow on the accepted paper's frozen `security-20` profile; it is interface evidence, not a count claim for `security-20-v6`. Open the [high-resolution PDF](assets/topvenues-abstract-search.pdf) for close inspection. ## Scope and curation The corpus is deliberately cybersecurity-only: 17 security venues plus 3 survey venues that anchor security literature reviews. Keeping the scope focused (rather than mixing in off-topic AI, systems, or networking venues) is what keeps abstract coverage high. The 12,586-paper security core carries 11,724 abstracts (93.2% coverage); the remaining gaps are structural (e.g. Springer-hosted ESORICS and publisher-gated recent proceedings) and are reported, not hidden. Records without an abstract stay searchable by title, venue, year, author, and DBLP key. ## Schema | Column | Description | | --- | --- | | `paper_id` | Artifact record identifier; use `key`, `url`, and `ee` for bibliographic identity | | `key` | DBLP key | | `title` | Paper title | | `authors` | Author list as a single string | | `event` | Canonical venue name (normalized) | | `venue` | Venue string as recorded by DBLP | | `area` | Research area (`security`, `ai`, `networks`, `mobile`, `systems`, `cross-area`) | | `year` | Publication year | | `paper_type` | Record type (article, proceedings, …) | | `pages` | Page range | | `url` / `ee` | DBLP URL / electronic edition (DOI or publisher link) | | `abstract` | Abstract, where the curation policy backfills it | | `bibtex` | DBLP-canonical BibTeX entry | ## Venues | Venue | Area | Papers | Abstracts | | --- | --- | ---: | ---: | | USENIX Security | security | 2,054 | 2,052 | | ACM CCS | security | 1,972 | 1,971 | | TrustCom | security | 1,915 | 1,912 | | ACM Computing Surveys | cross-area | 1,840 | 1,839 | | IEEE S&P | security | 1,417 | 1,397 | | NDSS | security | 1,059 | 1,058 | | IEEE Communications Surveys & Tutorials | cross-area | 842 | 813 | | ACM ASIA CCS | security | 837 | 827 | | ESORICS | security | 599 | 39 | | ACSAC | security | 509 | 509 | | IEEE EURO S&P | security | 421 | 421 | | IEEE CNS | security | 381 | 381 | | ACM CODASPY | security | 316 | 281 | | ACM WiSec | security | 315 | 271 | | RAID | security | 290 | 222 | | ACM SACMAT | security | 204 | 204 | | IEEE SaTML | security | 127 | 74 | | USENIX WOOT | security | 93 | 32 | | ACM AISec | security | 77 | 73 | | Foundations and Trends in Privacy and Security | cross-area | 18 | 18 | ## Sources and licensing Bibliographic metadata and BibTeX come from [DBLP](https://dblp.org) (released CC0). Abstracts were collected from open scholarly sources (Semantic Scholar, OpenAlex, Crossref) and publisher pages; they remain the copyright of their respective publishers and are included for research and indexing purposes. The repository's MIT license applies to the tool code; this dataset card does not grant rights in third-party abstract text. ## Citation If you use this dataset or the tool, cite the tools-track paper and name the dataset and profile you used, for example "TopVenues, `sidneibarbieri/topvenues`, profile `security-20-v6`", so a reader can reopen the same snapshot. If you use or build on the corpus method or its measurements, also cite the main-track paper. The [project page](https://sidneibarbieri.github.io/topVenues/#cite) carries the same rule and entries. ```bibtex @inproceedings{barbieri2026topvenuestool, author = {Sidnei Barbieri and {\'A}gney Lopes Roth Ferraz and Louren{\c{c}}o Alves {Pereira J{\'u}nior}}, title = {{TopVenues}: An Executable Corpus and Research Tool for Cybersecurity Literature Reviews}, booktitle = {Anais Estendidos do XXVI Simp{\'o}sio Brasileiro de Ciberseguran{\c{c}}a (SBSeg 2026)}, pages = {234--241}, year = {2026}, publisher = {Sociedade Brasileira de Computa{\c{c}}{\~a}o}, doi = {10.5753/sbseg_estendido.2026.33733}, url = {https://sol.sbc.org.br/index.php/sbseg_estendido/article/view/44470} } @inproceedings{barbieri2026topvenues, author = {Sidnei Barbieri and {\'A}gney Lopes Roth Ferraz and Louren{\c{c}}o Alves {Pereira J{\'u}nior}}, title = {{TopVenues}: A Reproducible Corpus and Tooling Substrate for Cybersecurity Literature Reviews}, booktitle = {Anais do XXVI Simp{\'o}sio Brasileiro de Ciberseguran{\c{c}}a (SBSeg 2026)}, pages = {1150--1165}, year = {2026}, publisher = {Sociedade Brasileira de Computa{\c{c}}{\~a}o}, doi = {10.5753/sbseg.2026.29056}, url = {https://sol.sbc.org.br/index.php/sbseg/article/view/44350}, eprint = {2606.18320}, archivePrefix = {arXiv} } ```