feat_id stringlengths 1 4 | tokens sequence | tags sequence | evaluation_predictions sequence |
|---|---|---|---|
328 | [
"10",
"."
] | [
12,
12
] | [
[
11.1328125,
-1.1201171875,
-1.3798828125,
-1.3798828125,
-2.462890625,
-1.3681640625,
-3.220703125,
-3.888671875,
-3.876953125,
-3.23046875,
-0.232177734375,
-2.263671875,
-0.14892578125
],
[
15.375,
-1.4375,
-1.75390625,
-2.267578125,
-2... |
987 | [
"Sem",
"custas",
"."
] | [
12,
12,
12
] | [
[
10.7890625,
-0.93505859375,
-1.4912109375,
-1.3671875,
-2.53125,
-1.3642578125,
-3.23828125,
-3.767578125,
-3.916015625,
-3.19921875,
-0.1871337890625,
-2.16796875,
-0.12255859375
],
[
15.46875,
-1.734375,
-1.7294921875,
-2.2890625,
-2.36... |
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
] | [[11.28125,-0.595703125,-1.8525390625,-1.5390625,-3.056640625,-1.224609375,-3.37109375,-3.806640625,(...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
] | [[11.3125,-0.72119140625,-1.6162109375,-1.392578125,-2.7109375,-1.2587890625,-3.283203125,-3.7695312(...TRUNCATED) |
456 | [
"44",
"."
] | [
12,
12
] | [[11.3125,-1.154296875,-1.4072265625,-1.388671875,-2.48046875,-1.3544921875,-3.21484375,-3.904296875(...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
] | [[11.8203125,-0.44482421875,-1.419921875,-1.115234375,-3.126953125,-1.5263671875,-3.900390625,-3.929(...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) | [[10.6015625,-0.53857421875,-1.9130859375,-1.7353515625,-3.177734375,-1.369140625,-3.3359375,-3.7871(...TRUNCATED) |
1194 | [
"Agravo",
"de",
"instrumento",
"desprovido",
"."
] | [
12,
12,
12,
12,
12
] | [[11.140625,-0.9033203125,-1.61328125,-1.37109375,-2.638671875,-1.291015625,-3.212890625,-3.77734375(...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
] | [[11.6953125,-0.62158203125,-1.818359375,-1.4228515625,-2.921875,-1.23046875,-3.359375,-3.787109375,(...TRUNCATED) |
651 | [
"NORMA",
"COLETIVA",
"."
] | [
12,
12,
12
] | [[11.1171875,-1.0263671875,-1.4638671875,-1.5205078125,-2.609375,-1.4267578125,-3.228515625,-3.83789(...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/xlm-roberta-large-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.
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