Dataset Viewer
Auto-converted to Parquet Duplicate
feat_id
stringlengths
1
4
tokens
sequence
tags
sequence
evaluation_predictions
sequence
328
[ "10", "." ]
[ 12, 12 ]
[ [ 9.59375, -0.69140625, -0.865234375, -2.275390625, -2.16015625, -0.77294921875, -1.6884765625, -1.78515625, -1.4951171875, -2.240234375, -2.13671875, -1.21875, -1.173828125 ], [ 12.1328125, -0.97900390625, -1.544921875, -2.177734375, -2.85...
987
[ "Sem", "custas", "." ]
[ 12, 12, 12 ]
[ [ 8.8828125, -0.472900390625, -0.61962890625, -1.912109375, -2.212890625, -0.9091796875, -1.8818359375, -1.8740234375, -1.4267578125, -1.7978515625, -1.6748046875, -1.259765625, -0.84912109375 ], [ 12.265625, -1.6650390625, -1.708984375, -2.404...
1084
["O","artigo","129","da","Constituição","do","Estado","de","São","Paulo","expressamente","dispõe(...TRUNCATED)
[ 12, 1, 7, 7, 7, 7, 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, 12, 12, 12, 12 ]
[[5.6484375,-1.27734375,-0.0843505859375,-2.1171875,-2.578125,-0.75830078125,-2.044921875,-2.0058593(...TRUNCATED)
1136
["Assim",",","DOU","PROVIMENTO","ao","agravo","de","instrumento","para","determinar","o","processame(...TRUNCATED)
[ 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12 ]
[[9.5625,-0.5400390625,-0.55078125,-2.05078125,-1.966796875,-0.7958984375,-1.658203125,-1.81640625,-(...TRUNCATED)
456
[ "44", "." ]
[ 12, 12 ]
[[9.7109375,-0.57470703125,-0.853515625,-2.408203125,-2.068359375,-0.9765625,-1.8876953125,-1.690429(...TRUNCATED)
1157
["A","matéria","já","está","pacificada","no","âmbito","do","TRT","de","São","Paulo",",","por","(...TRUNCATED)
[ 12, 12, 12, 12, 12, 12, 12, 12, 3, 9, 9, 9, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12 ]
[[8.8828125,0.76708984375,0.3544921875,-2.08203125,-1.849609375,-0.68115234375,-1.927734375,-2.00195(...TRUNCATED)
977
["Assim","sendo",",","mostra-se","realmente","necessária","a","manutenção","da","prisão","cautel(...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)
[[6.640625,-1.2802734375,-0.1632080078125,-1.8671875,-2.38671875,-0.64208984375,-2.234375,-2.140625,(...TRUNCATED)
1194
[ "Agravo", "de", "instrumento", "desprovido", "." ]
[ 12, 12, 12, 12, 12 ]
[[9.03125,-0.580078125,-0.56201171875,-1.994140625,-2.150390625,-0.83056640625,-1.84375,-1.919921875(...TRUNCATED)
71
["Os","problemas","questionados","decorreram","de","ação","criminosa","e","não","poderiam","ter",(...TRUNCATED)
[ 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12 ]
[[9.5390625,-0.59619140625,-0.6005859375,-2.09765625,-2.01171875,-0.763671875,-1.6572265625,-1.81640(...TRUNCATED)
651
[ "NORMA", "COLETIVA", "." ]
[ 12, 12, 12 ]
[[9.171875,-0.63427734375,-0.53662109375,-2.009765625,-2.109375,-0.78564453125,-1.7568359375,-1.8945(...TRUNCATED)
End of preview. Expand in Data Studio

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-base-lener-br-finetuned-lener-br
  • Dataset: lener_br
  • Config: lener_br
  • Split: test

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

Contributions

Thanks to @Luciano for evaluating this model.

Downloads last month
9