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The Fake News Opensources dataset is a curated and cleaned version of the opensources fake‑news collection, containing 5 915 569 articles divided into 12 categories. It is suitable for text‑classification tasks such as topic classification and fact‑checking. The dataset is monolingual (English) and released under the Apache‑2.0 license. It includes fields such as id, type, domain, scraped_at, url, authors, title, and content.
