feat_id stringlengths 1 4 | tokens sequence | tags sequence | evaluation_predictions sequence |
|---|---|---|---|
328 | [
"10",
"."
] | [
12,
12
] | [
[
10.09375,
-0.779296875,
-1.822265625,
-1.0712890625,
-1.916015625,
0.0997314453125,
0.311279296875,
-2.259765625,
-1.92578125,
0.412353515625,
-0.1890869140625,
-1.357421875,
-0.59814453125
],
[
16.234375,
-0.4794921875,
-2.11328125,
-1.72265... |
987 | [
"Sem",
"custas",
"."
] | [
12,
12,
12
] | [
[
10.34375,
-0.8037109375,
-1.8232421875,
-1.2314453125,
-1.849609375,
-0.304931640625,
0.3994140625,
-2.255859375,
-1.935546875,
0.443115234375,
-0.39697265625,
-1.1865234375,
-0.31005859375
],
[
16.109375,
-1.08984375,
-2.064453125,
-1.989257... |
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
] | [[8.296875,-0.53857421875,-1.029296875,-1.859375,-1.5439453125,-0.43115234375,-0.74658203125,-1.8544(...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
] | [[10.578125,-0.84765625,-1.4541015625,-1.25,-1.748046875,-0.50439453125,-0.10986328125,-2.138671875,(...TRUNCATED) |
456 | [
"44",
"."
] | [
12,
12
] | [[10.0,-0.69384765625,-1.76953125,-1.103515625,-1.9423828125,-0.01300811767578125,0.165771484375,-2.(...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
] | [[9.0234375,0.53076171875,0.456787109375,-0.82763671875,-1.189453125,-0.6728515625,-0.425048828125,-(...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) | [[9.375,-0.88671875,-1.31640625,-1.7587890625,-1.6767578125,-0.479248046875,-0.5400390625,-2.0,-2.50(...TRUNCATED) |
1194 | [
"Agravo",
"de",
"instrumento",
"desprovido",
"."
] | [
12,
12,
12,
12,
12
] | [[10.5390625,-0.8779296875,-1.69921875,-1.2626953125,-1.818359375,-0.453857421875,0.1871337890625,-2(...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
] | [[10.3515625,-0.884765625,-1.44921875,-1.3388671875,-1.7978515625,-0.454345703125,-0.09356689453125,(...TRUNCATED) |
651 | [
"NORMA",
"COLETIVA",
"."
] | [
12,
12,
12
] | [[10.4765625,-0.62060546875,-1.7626953125,-1.1201171875,-1.8095703125,-0.370361328125,0.200561523437(...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-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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