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ner-benchmark-test

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test · 5 rows

tokens listlengths 3 7	ner_tags listlengths 3 7
[ "Apple", "is", "looking", "at", "buying", "U.K.", "startup" ]	[ "ORG", "O", "O", "O", "O", "LOC", "O" ]
[ "Barack", "Obama", "visited", "Paris" ]	[ "PER", "PER", "O", "LOC" ]
[ "Google", "released", "Bard" ]	[ "ORG", "O", "MISC" ]
[ "Tesla", "is", "based", "in", "California" ]	[ "ORG", "O", "O", "O", "LOC" ]
[ "Amazon", "hired", "engineers", "in", "Seattle" ]	[ "ORG", "O", "O", "O", "LOC" ]

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Check out the documentation for more information.

NER Benchmark

Named Entity Recognition benchmark dataset.

Predict entity labels for each token.

{
  "tokens": ["Apple", "is", "great"],
  "ner_tags": ["ORG", "O", "O"]
}