Datasets › VizNet-Sato
VizNet-Sato
VizNet-Sato is a dataset from the authors of Sato and is based on the VizNet dataset. The authors choose from VizNet only relational web tables with headers matching their selected 78 DBpedia semantic types. The selected tables are divided into two categories: Full tables and Multi-column only tables. The first category corresponds to 78,733 selected tables from VizNet, while the second category includes 32,265 tables which have more than one column. The tables of both categories are divided into 5 subsets to be able to conduct 5-fold cross validation: 4 subsets are used for training and the last for evaluation.
The headers of the columns act as semantic annotations for the Column Type Annotation (CTA) task. Some statistics about both categories of tables are provided in the table below, where "Columns" refers to the number of annotated columns and "Classes" to the number of unique DBpedia semantic types used for annotation.
| Columns | Classes | |
|---|---|---|
| Full | 120,609 | 78 |
| Multi-column | 74,141 | 78 |
Benchmarks archive 2025-07-28
All 2 leaderboards 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 | ||||
|---|---|---|---|---|---|---|
| Column Type Annotation | VizNet-Sato-Full | Watchog Macro-F1 85.63 | Watchog: A Light-weight Contrastive Learning based... | — | 4 | Compare |
| Column Type Annotation | VizNet-Sato-MultiColumn | DODUO Macro-F1 83.8 | Annotating Columns with Pre-trained Language Models | megagonlabs/doduo | 2 | Compare |
Papers archive 2025-07-28
4 shown of 4 papers 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 4. 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 | |||
|---|---|---|---|---|
| Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation | 0 | 1 | 12 Dec 2023 | not harvested |
| TABBIE: Pretrained Representations of Tabular Data | 2 | 1 | 6 May 2021 | not harvested |
| Annotating Columns with Pre-trained Language Models | 1 | 2 | 5 Apr 2021 | ran 0 of 3 samples (3 unverified) |
| Sato: Contextual Semantic Type Detection in Tables | 1 | 2 | 14 Nov 2019 | ran 1 of 10 samples (9 unverified) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- VizNet-Sato
- VizNet-Sato-Full
- VizNet-Sato-MultiColumn
3 variant names, as the archive lists them.
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