Datasets › GUM
GUM (Georgetown University Multilayer corpus)
GUM is an open source multilayer English corpus of richly annotated texts from twelve text types. Annotations include:
- Multiple POS tags, morphological features and lemmatization
- Sentence segmentation and rough speech act
- Document structure in TEI XML (paragraphs, headings, figures, etc.)
- ISO date/time annotations
- Speaker and addressee information (where relevant)
- Constituent and dependency syntax
- Information status (given, accessible, new, split antecedent)
- Entity and coreference annotation, including bridging anaphora
- Entity linking (Wikification)
- Discourse parses in Rhetorical Structure Theory and discourse dependencies
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Entity Linking | GUM | baseline F1 26.4 | WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres | — | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 13. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres | 0 | 1 | 15 Sep 2021 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- GUM
1 variant name, as the archive lists them.
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