Datasets:

---

rjac

/

kaggle-entity-annotated-corpus-ner-dataset

like 3

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[ "A", "U.N.", "spokeswoman", "said", "Wednesday", ",", "two", "of", "those", "wounded", "were", "AU", "monitors", "." ]

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[ "The", "rate", "is", "still", "much", "lower", "than", "many", "other", "countries", ",", "but", "is", "relatively", "expensive", "for", "Burmese", "consumers", "." ]

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[ "She", "said", "the", "other", "two", "were", "only", "lightly", "hurt", "and", "that", "all", "three", "are", "now", "in", "stable", "condition", "." ]

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[ "Last", "week", ",", "a", "U.S.", "development", "official", "was", "shot", "in", "the", "face", "while", "working", "in", "Darfur", "." ]

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[ "Kabul", "has", "ruled", "out", "a", "prisoner", "swap", "." ]

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[ "Burma", "'s", "information", "minister", "Brigadier", "General", "Kyaw", "Hsann", "said", "the", "government", "has", "been", "subsidizing", "gasoline", "at", "a", "loss", "for", "years", "." ]

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[ "Several", "armed", "Palestinian", "factions", "have", "pledged", "to", "maintain", "calm", "during", "Wednesday", "'s", "Palestinian", "parliamentary", "elections", "." ]

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