Datasets › real-fake-news

real-fake-news

Introduced by Taiming Lu et al. in Learn and Unlearn in Multilingual LLMs19 Jun 2024 archive 2025-07-28

This the dataset for Every Language Counts: Learn and Unlearn in Multilingual LLMs.

Each of the 100 row contains a GPT generated 'real' news article, a corresponding 'fake' news article with injected fake information, and the 'fake' keyword. It contains 10 Q&A pairs on 'real' news for instruction tunning. We also provide one question to evaluate 'real' news understanding and another question to count the appearance of 'fake' detail.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • real-fake-news

1 variant name, as the archive lists them.

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