{
 "id": "TopicNet/WOS-46985",
 "owner": "TopicNet",
 "name": "WOS-46985",
 "downloads": 11,
 "likes": 0,
 "last_modified": "2026-10-27T09:21:17.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "The [official version 6 release](https://data.mendeley.com/datasets/9rw3vkcfy4/6) declares CC BY 4.0. [SOURCE_README.txt](SOURCE_README.txt) is preserved verbatim, including Copyright (c) 2017 Kamran Kowsari, the permission notice and the request to cite HDLTex. Preserve the copyright and permission notices in copies or substantial portions and cite the source. The release license does not establish that all abstracts or other third-party content are free of additional rights.\n\nSource selection, historical coverage and class imbalance limit generalization. Source hierarchy codes are preserved without inferred corrections. 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 The abstracts may contain personal information and outdated claims.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.\n\nKamran 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).\n\nWhen citing this preparation, identify its retained population and repository revision as well as the source publication.",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "f2e1d6228e181cc79a397ebf577ca8de7fc85b76",
 "stated_evidence": "https://huggingface.co/datasets/TopicNet/WOS-46985/blob/f2e1d6228e181cc79a397ebf577ca8de7fc85b76/README.md",
 "file_evidence": "https://huggingface.co/datasets/TopicNet/WOS-46985/tree/f2e1d6228e181cc79a397ebf577ca8de7fc85b76",
 "card_nc": false
}