CiteSeer
The CiteSeer dataset consists of 3312 scientific publications classified into one of six classes. The citation network consists of 4732 links. Each publication in the dataset is described by a 0/1-valued word vector indicating the absence/presence of the corresponding word from the dictionary. The dictionary consists of 3703 unique words.
Original source: linqs.soe.ucsc.edu
Versions
CiteSeer (by Jan Motl)
- Note that some papers appear in cite table without having a content entry.
Dataset details
- Associated task:
- Classification
- Domain:
- Education
- Data types:
- Size:
- 5.9 MB
- Count of tables:
- 3
- Count of rows:
- 113,760
- Count of columns:
- 6
- Missing values:
- No
- Compound keys:
- No
- Loops:
- Yes
- Type:
- Real
- Instance count:
- 3,312
- Target table:
- paper
- Target column:
- class_label
- Target ID:
- paper_id
- Target timestamp:
- ?
Algorithms
| Dataset version | Target | Algorithm | Author text | Measure | Value |
|---|---|---|---|---|---|
| CiteSeer | CBCC | Case-Based Collective Classification | Accuracy | 0.669 | |
| CiteSeer | MLN | Investigating Markov Logic Networks for Collective Classification | Accuracy | 0.742 |
How to download the dataset
The datasets are publicly available directly from MariaDB database.
- Open your favourite MariaDB client (MySQL Workbench works, but see FAQ)
- Use following credentials:
- hostname: relational.fel.cvut.cz
- port: 3306
- username: guest
- password: ctu-relational
- Export "CiteSeer" database (or other version of the dataset, if available) in your favourite format (e.g. CSV or SQL dump).