All datasets / TopicNet

TopicNet/WOS-11967

11 downloads in 30 days0 likesLast modified 27 Oct 2026View on Hugging Face

Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at af86a88
Licence files: No licence file at the top level of the repositoryEvidence: file list at af86a88
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

text-classification

Citation text from the card

The [Mendeley release, version 6](https://data.mendeley.com/datasets/9rw3vkcfy4/6) declares CC BY 4.0; its DOI is [10.17632/9rw3vkcfy4.6](https://doi.org/10.17632/9rw3vkcfy4.6). The verbatim [SOURCE_README.txt](SOURCE_README.txt) retains Copyright (c) 2017 Kamran Kowsari and the permission notice requiring the copyright and permission notices in copies or substantial portions. Preserve those notices and cite the source. The release license is not a blanket guarantee that abstracts or other third-party content have no additional rights.

Source selection, historical coverage, class imbalance and automatic preprocessing affect the labels and topic distributions. Family grouping reduces known duplicate leakage, but some semantic duplicates may remain. The abstracts may contain personal information and outdated claims. Assess the corpus's suitability for your application before relying on it for decisions.

Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber and Laura E. Barnes (2017), [*HDLTex: Hierarchical Deep Learning for Text Classification*](https://arxiv.org/abs/1709.08267), IEEE ICMLA. DOI: [10.1109/ICMLA.2017.0-134](https://doi.org/10.1109/ICMLA.2017.0-134).

When citing this preparation, identify its retained population and repository revision as well as the source publication.

All datasets marked Permissive or share-alike | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "TopicNet/WOS-11967" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0