feat_id stringlengths 1 4 | tokens sequence | tags sequence | evaluation_predictions sequence |
|---|---|---|---|
328 | [
"10",
"."
] | [
12,
12
] | [
[
3.337890625,
0.29736328125,
-1.205078125,
-0.58984375,
-0.492919921875,
0.3642578125,
-1.162109375,
-0.7861328125,
-1.158203125,
-0.83935546875,
-0.10003662109375,
-1.2548828125,
-0.387939453125
],
[
11.984375,
-1.2578125,
-1.7626953125,
-1.8... |
987 | [
"Sem",
"custas",
"."
] | [
12,
12,
12
] | [
[
3.44140625,
0.343505859375,
-1.166015625,
-0.5947265625,
-0.497802734375,
0.33984375,
-1.162109375,
-0.7861328125,
-1.111328125,
-0.90380859375,
-0.07177734375,
-1.30078125,
-0.4365234375
],
[
12.015625,
-1.361328125,
-1.59765625,
-1.94628906... |
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
] | [[4.70703125,1.0244140625,0.144775390625,-0.55810546875,-1.384765625,-0.309814453125,-1.4111328125,-(...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
] | [[5.7109375,0.828125,-0.767578125,-0.395263671875,-0.970703125,0.381103515625,-1.369140625,-1.055664(...TRUNCATED) |
456 | [
"44",
"."
] | [
12,
12
] | [[3.9609375,0.323974609375,-1.1474609375,-0.529296875,-0.61669921875,0.358154296875,-1.345703125,-0.(...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
] | [[5.81640625,2.265625,0.45361328125,-0.82470703125,-1.306640625,-0.487548828125,-2.029296875,-1.3017(...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) | [[5.9609375,0.65869140625,-0.5458984375,-0.47802734375,-1.2568359375,-0.1729736328125,-1.6337890625,(...TRUNCATED) |
1194 | [
"Agravo",
"de",
"instrumento",
"desprovido",
"."
] | [
12,
12,
12,
12,
12
] | [[3.462890625,0.288818359375,-1.1044921875,-0.5810546875,-0.492919921875,0.317626953125,-1.119140625(...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
] | [[5.265625,0.66796875,-0.8251953125,-0.43603515625,-0.8193359375,0.395263671875,-1.3486328125,-0.986(...TRUNCATED) |
651 | [
"NORMA",
"COLETIVA",
"."
] | [
12,
12,
12
] | [[3.958984375,0.420654296875,-0.96044921875,-0.5615234375,-0.59521484375,0.408935546875,-1.209960937(...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: pierreguillou/ner-bert-base-cased-pt-lenerbr
- 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.
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