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SEACrowd/fakenews_ph

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Permissive or share-alike

The declared licence (gpl-3.0) is classified as share-alike.

Declared licence: gpl-3.0, from the tagEvidence: README.md at eed0396
Licence files: LICENSE, licence not identifiedEvidence: LICENSE at eed0396
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

hoax-news-classification

Citation text from the card

@inproceedings{cruz-etal-2020-localization,
    title = "Localization of Fake News Detection via Multitask Transfer Learning",
    author = "Cruz, Jan Christian Blaise  and
      Tan, Julianne Agatha  and
      Cheng, Charibeth",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.316",
    pages = "2596--2604",
    language = "English",
    ISBN = "979-10-95546-34-4",
}


@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agi

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": "SEACrowd/fakenews_ph" })
signal: "permissive"
stated_licence: "gpl-3.0"
sources: 0