Export security-20-v5 (TopVenues v1.14.0)

15,286 records, 14,394 with an abstract, every one with BibTeX. Keeps all 14,859 security-20-v4 records unchanged and adds the 427 published by the September 2026 DBLP release, including IEEE S&P 2026. Snapshot SHA-256 2487ea98bfae38982d9752e56391bbdb83820f134c01b8555dfc7d26d8a9fe58.

README.md

@@ -23,31 +23,31 @@ configs:
 # TopVenues Cybersecurity Corpus
 
 A reproducible, cybersecurity-focused bibliographic corpus for literature
-reviews: 14,859 papers (2019–2026) across 20
-security and security-relevant venues, with 13,987 abstracts and a BibTeX entry for
+reviews: 15,286 papers (2019–2026) across 20
+security and security-relevant venues, with 14,394 abstracts and a BibTeX entry for
 every record.
 
-- **Code / tool:** <https://github.com/sidneibarbieri/topVenues>, the home of
-  TopVenues since v1.11.0. This export was made from `topvenues-tool`, which is
-  archived with its history. 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.
+- **Code / tool:** <https://github.com/sidneibarbieri/topVenues>. 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:** <https://sidneibarbieri.github.io/topVenues/>, with both
   published papers, the repository that reproduces each one, and how to cite them.
 - **Demonstration:** [MP4](assets/demo/topvenues-demo-v1.12.0.mp4) — 7:49, 1920x1080,
   with [Brazilian Portuguese](assets/demo/topvenues-demo-v1.12.0.pt-BR.vtt)
   and [English](assets/demo/topvenues-demo-v1.12.0.en.vtt) captions. It covers
   installation and offline verification, search and export, the four passes of
-  the Insights page, and the audit evidence.
+  the Insights page, and the audit evidence. It was recorded on
+  `security-20-v4`, so the counts it shows are that profile's.
 - **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-v4`
-- **Snapshot SHA-256 (gzip):** `bcb762c1c9b1f8ce6f075a8c1a23d68310caec853b0cc8ce3f42931e43c370c5`
-- **Source release tag:** `v1.5.0`
-- **Snapshot record count:** 14,859
+- **Profile:** `security-20-v5`
+- **Snapshot SHA-256 (gzip):** `2487ea98bfae38982d9752e56391bbdb83820f134c01b8555dfc7d26d8a9fe58`
+- **Source release tag:** `v1.14.0`
+- **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`
@@ -74,7 +74,7 @@ security = corpus.filter(lambda paper: paper["area"] == "security")
 
 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-v4`. Open the
+count claim for `security-20-v5`. Open the
 [high-resolution PDF](assets/topvenues-abstract-search.pdf) for close inspection.
 
 ## Scope and curation
@@ -82,8 +82,8 @@ count claim for `security-20-v4`. Open the
 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 12,195-paper security
-core carries 11,353 abstracts (93.1% coverage);
+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
@@ -114,23 +114,23 @@ key.
 | USENIX Security | security | 2,103 | 2,056 |
 | ACM CCS | security | 1,972 | 1,971 |
 | TrustCom | security | 1,915 | 1,912 |
-| ACM Computing Surveys | cross-area | 1,813 | 1,812 |
-| IEEE S&P | security | 1,164 | 1,163 |
+| 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 |
-| IEEE Communications Surveys & Tutorials | cross-area | 833 | 804 |
-| ESORICS | security | 598 | 39 |
+| ESORICS | security | 599 | 39 |
 | ACSAC | security | 509 | 509 |
+| IEEE EURO S&P | security | 421 | 421 |
 | IEEE CNS | security | 381 | 381 |
-| IEEE EURO S&P | security | 339 | 339 |
 | ACM CODASPY | security | 316 | 281 |
-| ACM WiSec | security | 314 | 270 |
+| ACM WiSec | security | 315 | 271 |
 | RAID | security | 290 | 222 |
-| ACM SACMAT | security | 176 | 176 |
+| ACM SACMAT | security | 204 | 204 |
 | IEEE SaTML | security | 127 | 74 |
 | ACM AISec | security | 77 | 73 |
+| USENIX WOOT | security | 44 | 28 |
 | Foundations and Trends in Privacy and Security | cross-area | 18 | 18 |
-| USENIX WOOT | security | 18 | 2 |
 
 ## Sources and licensing
 
@@ -145,9 +145,8 @@ dataset card does not grant rights in third-party abstract text.
 
 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-v4`", 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
+`security-20-v5`", 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.
 

train-00000-of-00002.parquet

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+size 12416424

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