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[ "Mana", "50,000", "tonnes", "soybeans", "USG", "/", "China", "10-15/12", "$", "23.50", "10,000", "/", "4,000", "GeePee", "." ]
[ 8, 8, 8, 8, 8, 8, 0, 8, 8, 8, 8, 8, 8, 8, 8 ]
[ [ 9.03125, -0.87451171875, -1.25, -1.6533203125, -1.9443359375, -0.609375, -1.0498046875, -1.6474609375, -1.3115234375 ], [ 4.1953125, -0.53857421875, -2.740234375, -0.3720703125, -3.103515625, 3.138671875, -1.71484375, 2.078125, -2.8125 ...
[ "COLORADO", "17", "6", "4", "97", "56", "38" ]
[ 2, 8, 8, 8, 8, 8, 8 ]
[ [ 9.765625, -1.4951171875, -1.3203125, -1.5166015625, -1.4228515625, -0.88623046875, -1.060546875, -1.7783203125, -1.3447265625 ], [ -0.42529296875, -0.962890625, -1.8076171875, -0.1824951171875, -1.9033203125, 9.21875, -0.5029296875, -1.020507...
[ "Oats", "Rye", "Flaxseed", "Canola", "Corn" ]
[ 8, 8, 8, 8, 8 ]
[ [ 5.87109375, 0.042449951171875, -0.417724609375, -1.1474609375, -1.505859375, -0.296630859375, -1.3525390625, -1.296875, -0.89599609375 ], [ 0.8447265625, 0.0246124267578125, -1.8642578125, 3.876953125, -2.826171875, 3.23046875, -2.337890625, ...
["The","European","Union","and","Poland","have","resolved","disagreements","over","a","new","Polish"(...TRUNCATED)
[ 8, 2, 6, 8, 0, 8, 8, 8, 8, 8, 8, 1, 8, 8, 8, 8, 8, 2, 6, 8, 8, 8, 8 ]
[[10.1953125,-0.441162109375,-1.3193359375,-1.712890625,-1.9716796875,-1.099609375,-1.6162109375,-1.(...TRUNCATED)
["China","controlled","most","of","the","match","and","saw","several","chances","missed","until","th(...TRUNCATED)
[ 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 1, 8, 3, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 1, 8, 8, 8, 8, 8, 8, 8 ]
[[9.6484375,-0.64599609375,-1.416015625,-1.2373046875,-1.6708984375,-0.88525390625,-1.759765625,-1.6(...TRUNCATED)
[ "CENTRAL", "DIVISION" ]
[ 8, 8 ]
[[5.0078125,1.349609375,-0.04107666015625,-1.4013671875,-1.82421875,-0.73974609375,-1.9326171875,-0.(...TRUNCATED)
["'","'","The","reactions","from","business","and","unions","which","I","have","seen","have","been",(...TRUNCATED)
[ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ]
[[10.1875,-0.69775390625,-1.306640625,-1.609375,-1.7490234375,-1.0546875,-1.4169921875,-1.7177734375(...TRUNCATED)
["Fiorentina","will","be","without","three","suspended","players","--","defenders","Daniele","Carnas(...TRUNCATED)
[ 2, 8, 8, 8, 8, 8, 8, 8, 8, 3, 7, 8, 3, 7, 8, 8, 3, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 2, 8, 8, 8, 1, 8, 3, 7, 8, 8, 8, 3, 7, 8 ]
[[10.4453125,-0.83740234375,-1.6318359375,-1.185546875,-1.90234375,-1.0068359375,-1.7275390625,-1.71(...TRUNCATED)
[ "The", "results", "were", "declared", "official", "." ]
[ 8, 8, 8, 8, 8, 8 ]
[[9.0,-0.397705078125,-1.2158203125,-1.5869140625,-1.6923828125,-1.01171875,-1.6298828125,-1.5273437(...TRUNCATED)
[ "Association", "games", "on", "Friday", "(", "home", "team", "in", "CAPS", ")", ":" ]
[ 2, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ]
[[9.1796875,-0.320556640625,-1.4013671875,-1.5712890625,-2.154296875,-0.55029296875,-1.90625,-1.4580(...TRUNCATED)
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Dataset Card for AutoTrain Evaluator

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

  • Task: Token Classification
  • Model: dslim/bert-base-NER
  • Dataset: conll2003

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

Contributions

Thanks to @aseifert for evaluating this model.

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