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[ "Borussia", "Monchengladbach", "16", "4", "3", "9", "12", "22", "15" ]
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3315
[ "Indiana", "86", "GOLDEN", "STATE", "71" ]
[ 21, 10, 21, 21, 10 ]
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2662
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[ 10, 21, 21, 4, 21, 5, 10 ]
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425
["Justin","made","his","second","straight","start","for","Harbaugh",",","who","has","a","knee","inju(...TRUNCATED)
[ 21, 37, 28, 15, 15, 20, 14, 21, 6, 43, 41, 11, 20, 20, 7 ]
[ 5, 10, 5, 16, 16, 16, 6, 5, 22, 5, 10, 5, 16, 16, 22 ]
[ 3, 8, 8, 8, 8, 8, 8, 3, 8, 8, 8, 8, 8, 8, 8 ]
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1917
[ "--", "London", "Newsroom", "+44", "171", "542-7768" ]
[ 8, 21, 21, 10, 10, 15 ]
[ 5, 16, 16, 16, 16, 16 ]
[ 8, 2, 6, 8, 8, 8 ]
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1472
[ "Indonesia", "'s", "Belo", "leaves", "for", "Nobel", "award", "ceremony", "." ]
[ 21, 26, 21, 41, 14, 21, 20, 20, 7 ]
[ 5, 5, 16, 10, 8, 5, 16, 16, 22 ]
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1433
[ "Maize", "(", "Flint", ")", "113", "114", "113.7", "112" ]
[ 20, 4, 21, 5, 10, 10, 10, 10 ]
[ 5, 22, 5, 22, 5, 16, 16, 16 ]
[ 8, 8, 8, 8, 8, 8, 8, 8 ]
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2270
[ "Algoa", "Day", "21/11/96", "6,000", "Africa" ]
[ 21, 21, 10, 10, 21 ]
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[ 1, 5, 8, 8, 0 ]
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1383
[ "Mexico", "stocks", "off", "lows", "but", "still", "hit", "by", "Greenspan", "." ]
[ 21, 23, 14, 23, 9, 29, 39, 14, 21, 7 ]
[ 5, 16, 6, 5, 22, 10, 21, 6, 5, 22 ]
[ 0, 8, 8, 8, 8, 8, 8, 8, 3, 8 ]
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2618
[ "3.", "Canada", "I", "(", "Pierre", "Lueders", ",", "Dave", "MacEachern", ")", "1:45.94" ]
[ 21, 21, 27, 4, 21, 21, 6, 21, 21, 5, 10 ]
[ 5, 16, 5, 22, 5, 16, 22, 5, 16, 22, 5 ]
[ 8, 2, 6, 8, 3, 7, 8, 3, 7, 8, 8 ]
[[9.4140625,-0.8701171875,-1.67578125,-1.2958984375,-1.3369140625,-1.66015625,-1.267578125,-1.228515(...TRUNCATED)

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

  • Task: Token Classification
  • Model: Abelll/bert-finetuned-ner
  • Dataset: conll2003
  • Config: conll2003
  • Split: test

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

Contributions

Thanks to @chnlyi for evaluating this model.

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