tasksource/curlie-domains

Curlie domain categories

Apex domain names (0-100.it, 000webhostapp.com) with their top-level categories in the human-edited Curlie web directory: Arts, Business, Computers, Games, Health, Home, Kids and Teens, News, Recreation, Reference, Science, Shopping, Society, Sports. About 2% of domains have several categories. Domains come from many countries and languages; only the name is given, not the page.

Data-only mirror of the Curlie Domain-Level Multi-Label Content Classification Benchmark (Weiß and Baumann, 2026), built from the Curlie release of Homepage2Vec (Lugeon et al., 2022). Reproduce with scripts/repackage_dataset/curlie_domains.py; provenance.json records the archive MD5 and settings. Native splits: 566,826 train, 161,950 validation, 80,976 test. License: CC BY 4.0; attribute Curlie and the Homepage2Vec authors.

Schema: domain, labels (list of category ids; names in the features).

Citation

Please cite the original benchmark and data:

@dataset{weiss_baumann_2026_curlie,
  author    = {Weiß, Thomas and Baumann, Timo},
  title     = {Curlie Domain-Level Multi-Label Content Classification Benchmark},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.19943663},
  url       = {https://zenodo.org/records/19943663},
}

@inproceedings{lugeon2022homepage2vec,
  title     = {Homepage2Vec: Language-Agnostic Website Embedding and Classification},
  author    = {Lugeon, Sylvain and Piccardi, Tiziano and West, Robert},
  booktitle = {Proceedings of the International AAAI Conference on Web and Social Media},
  volume    = {16},
  pages     = {1285--1291},
  year      = {2022},
}

Citing tasksource

If you use tasksource, its standardized task annotations, or datasets derived from them in published research, please cite the tasksource paper (Sileo, LREC-COLING 2024).

@inproceedings{sileo-2024-tasksource,
    title = "tasksource: A Large Collection of {NLP} tasks with a Structured Dataset Preprocessing Framework",
    author = "Sileo, Damien",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.1361",
    doi = "10.63317/2h4pkr685mkq",
    pages = "15655--15684",
}