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6073
[ "Art", ".", "14", "." ]
[ 12, 12, 12, 12 ]
[ [ 6.0625, -0.039154052734375, -0.5517578125, -1.1455078125, -1.533203125, -0.40576171875, -0.82666015625, -1.8857421875, -1.173828125, -0.1700439453125, 0.8720703125, -1.009765625, -0.34912109375 ], [ 12.8359375, -1.75, -2.41015625, -1.18359375...
7164
[ "O", "responsável", "deveria", "apresentar", "a", "Prestação", "de", "Contas", "Final", "em", "30/1/2005", ",", "conforme", "carta", "de", "cobrança", "de", "Prestação", "de", "Contas", "101/2005", "(", "Peça", "1", ",", "p.", "60", ")", "e", "Ficha", "de"...
[ 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 5, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12 ]
[ [ 7.72265625, 0.1749267578125, -0.64111328125, -1.4208984375, -1.7333984375, -0.2203369140625, -1.0029296875, -2.41015625, -1.0966796875, -0.77978515625, 0.51708984375, -1.3740234375, -0.83544921875 ], [ 13.421875, -1.03125, -1.84765625, -1.208...
2625
["Não","digo","aqui","que","na","aferição","da","gravidade","do","crime","a","graduação","do","(...TRUNCATED)
[ 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12 ]
[[6.30078125,0.5322265625,-0.43212890625,-1.169921875,-1.3505859375,-0.54150390625,-0.95654296875,-2(...TRUNCATED)
7059
["Argumenta","ser","incontroverso","que","as","parcelas","reconhecidas","não","integraram","a","bas(...TRUNCATED)
[12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,(...TRUNCATED)
[[6.88671875,0.751953125,-0.2061767578125,-1.5263671875,-1.482421875,-0.55126953125,-0.9189453125,-2(...TRUNCATED)
4868
[ "MOMENTO", "DE", "OCORRÊNCIA", "DO", "FATO", "GERADOR", "." ]
[ 12, 12, 12, 12, 12, 12, 12 ]
[[6.23046875,0.397216796875,-0.315185546875,-0.9345703125,-1.1201171875,-0.09686279296875,-0.7587890(...TRUNCATED)
5843
[ "APRESENTAÇÃO", "VOLUNTÁRIA", "." ]
[ 12, 12, 12 ]
[[7.296875,0.362060546875,-0.475830078125,-1.0322265625,-1.2978515625,-0.41259765625,-1.09765625,-2.(...TRUNCATED)
3077
[ "Causa", "preexistente", "ao", "trânsito", "em", "julgado", "da", "sentença", "condenatória", "." ]
[ 12, 12, 12, 12, 12, 12, 12, 12, 12, 12 ]
[[5.578125,0.422119140625,-0.324462890625,-1.013671875,-1.1064453125,-0.180419921875,-0.697265625,-2(...TRUNCATED)
2716
["A","Justiça","Militar","da","União","deve","processar","e","julgar","o","desertor",",","como","t(...TRUNCATED)
[ 12, 12, 12, 12, 3, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12 ]
[[6.23828125,0.5791015625,-0.4619140625,-1.0537109375,-1.1572265625,-0.445556640625,-0.974609375,-2.(...TRUNCATED)
2977
["Delito","previsto","no","art",".","290","do","CPM","inteiramente","delineado","e","provado","em","(...TRUNCATED)
[ 12, 12, 12, 1, 7, 7, 7, 7, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12 ]
[[6.4140625,0.46044921875,-0.552734375,-1.5458984375,-1.4736328125,-0.3759765625,-0.99365234375,-2.2(...TRUNCATED)
7533
[ "RECURSO", "DE", "REVISTA", "1", "." ]
[ 12, 12, 12, 12, 12 ]
[[7.00390625,0.495849609375,-0.36279296875,-1.0703125,-1.3994140625,-0.576171875,-1.201171875,-2.535(...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: Luciano/bertimbau-large-lener_br
  • Dataset: lener_br
  • Config: lener_br
  • Split: train

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

Contributions

Thanks to @Luciano for evaluating this model.

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