| | --- |
| | license: cc-by-4.0 |
| | task_categories: |
| | - text-classification |
| | - feature-extraction |
| | language: |
| | - en |
| | tags: |
| | - visualization |
| | - academic-papers |
| | - IEEE-VIS |
| | - EuroVis |
| | - CHI |
| | pretty_name: VisPubs |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # VisPubs Dataset |
| |
|
| | A curated dataset of visualization research publications from IEEE VIS, EuroVis, and CHI conferences. |
| |
|
| | **Website:** [vispubs.com](https://vispubs.com) |
| | **Source:** [github.com/Dev-Lan/vispubs](https://github.com/Dev-Lan/vispubs) |
| |
|
| | ## Schema |
| |
|
| | | Column | Type | Description | |
| | |--------|------|-------------| |
| | | Conference | categorical | Conference venue (Vis, EuroVis, CHI) | |
| | | Year | int | Publication year | |
| | | Title | string | Paper title | |
| | | DOI | string | Digital Object Identifier | |
| | | Abstract | string | Paper abstract | |
| | | AuthorNames-Deduped | list[string] | Author names (deduplicated) | |
| | | Award | list[string] | Awards received (BP, HM, BCS, BA, TT) | |
| | | Accessible | bool | Tagged for screen-reader accessibility | |
| | | Early | bool | Early access publication | |
| | | Resources | list[string] | Available resource types (P, V, C, PW, D, O) | |
| | | ResourceLinks | list[struct] | Links for each resource: {name, url, icon} | |
| |
|
| | ## Award Codes |
| |
|
| | - **BP** — Best Paper |
| | - **HM** — Honorable Mention |
| | - **BCS** — Best Case Study |
| | - **BA** — Best Application |
| | - **TT** — Test of Time |
| |
|
| | ## Resource Codes |
| |
|
| | - **P** — Paper (preprint) |
| | - **V** — Video |
| | - **C** — Code |
| | - **PW** — Project Website |
| | - **D** — Data |
| | - **O** — Other |
| |
|
| | ## Usage |
| |
|
| | ```bash |
| | pip install datasets |
| | ``` |
| |
|
| | Load the most recent version: |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | ds = load_dataset("DevLan/vispubs") |
| | print(ds["train"].to_pandas().head()) |
| | ``` |
| |
|
| | Load a specific tagged version: |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | ds = load_dataset("DevLan/vispubs", revision="v2026.0-alpha") |
| | print(ds["train"].to_pandas().head()) |
| | ``` |
| |
|
| | ## Versioning |
| |
|
| | Versions follow `v{year}.{minor}` with optional prerelease suffixes: |
| | - `alpha` — Early testing, schema may change |
| | - `beta` — Near-stable, minor adjustments possible |
| | - No suffix — Stable release |
| |
|
| | ## Changelog |
| |
|
| | ### v2026.3-alpha (2026-02-25) |
| |
|
| | - update readme, no change in data |
| |
|
| | ### v2026.2-alpha (2026-02-25) |
| |
|
| | - update readme, no change in data |
| |
|
| | ### v2026.1-alpha (2026-02-25) |
| |
|
| | - update readme, no change in data |
| |
|
| | ### v2026.0-alpha (2026-02-25) |
| |
|
| | - update readme, no change in data |
| |
|
| | ### v2026.0-alpha (2026-02-25) |
| |
|
| | - initial alpha upload |
| |
|
| |
|
