Datasets:
tokens sequence | tags sequence | evaluation_predictions sequence |
|---|---|---|
[
"2",
")",
"Kelly",
"Slater",
"(",
")"
] | [
6,
6,
2,
5,
6,
6
] | [
[
0.95556640625,
1.173828125,
1.1171875,
-0.908203125,
-0.765625,
-1.3984375,
-1.58984375
],
[
7.09765625,
-1.1005859375,
-1.099609375,
-0.61572265625,
-1.4619140625,
-1.255859375,
-2.15625
],
[
6.96484375,
-1.5361328125,
-0.5576171875,
... |
[
"(",
"2014",
")",
"''Manu",
"''"
] | [
6,
1,
6,
6,
6
] | [
[
1.89453125,
-0.355224609375,
-1.216796875,
0.033538818359375,
-0.63232421875,
0.343017578125,
-1.3388671875
],
[
7.03125,
-1.513671875,
-1.23046875,
-0.583984375,
-1.447265625,
-1.1455078125,
-2.080078125
],
[
4.6640625,
-1.69140625,
-2.0... |
[
"'",
"''",
"Mario",
"Andretti",
"''",
"'"
] | [
6,
6,
2,
5,
6,
6
] | [
[
0.79541015625,
0.5869140625,
0.303466796875,
-0.783203125,
-0.3544921875,
-1.130859375,
-0.81494140625
],
[
7.1328125,
-1,
-0.9091796875,
-0.681640625,
-1.2900390625,
-2.005859375,
-2.2109375
],
[
7.17578125,
-0.9501953125,
-0.81982421875... |
[
"Liste",
"des",
"communes",
"de",
"l'Aveyron"
] | [
0,
3,
3,
3,
3
] | [
[
0.0479736328125,
-0.97216796875,
-0.880859375,
-1.0546875,
-0.275634765625,
0.151123046875,
1.7578125
],
[
-0.84033203125,
0.260498046875,
-3.244140625,
0.65673828125,
-2.603515625,
6.828125,
-0.34375
],
[
-1.11328125,
-3.009765625,
0.276... |
[
"Liste",
"des",
"communes",
"des",
"Ardennes"
] | [
0,
3,
3,
3,
3
] | [[-0.0116119384765625,-1.013671875,-0.953125,-1.0595703125,-0.3525390625,0.272216796875,1.884765625](...TRUNCATED) |
[
"Liste",
"des",
"communes",
"du",
"Bas-Rhin"
] | [
0,
3,
3,
3,
3
] | [[-0.40966796875,-1.4501953125,-0.9453125,-1.353515625,-0.50439453125,0.765625,2.818359375],[-0.8437(...TRUNCATED) |
[
"Sydney",
"Football",
"Stadium",
",",
"Sydney",
",",
"Australie"
] | [
1,
4,
4,
6,
0,
6,
0
] | [[0.46337890625,-1.1025390625,-1.8701171875,-0.043914794921875,0.25830078125,0.537109375,0.463378906(...TRUNCATED) |
[
"San",
"Diego",
",",
"Madrid",
",",
"Stockholm"
] | [
0,
3,
6,
0,
6,
0
] | [[0.9423828125,-0.83740234375,-1.4873046875,-0.6435546875,-0.57958984375,0.5830078125,0.487548828125(...TRUNCATED) |
[
"Action",
"Guns",
"(",
"Fr",
")"
] | [
1,
4,
6,
6,
6
] | [[-0.006832122802734375,-0.68994140625,-1.0966796875,1.1025390625,1.623046875,-0.41357421875,-1.1992(...TRUNCATED) |
[
"La",
"France",
"n'a",
"pas",
"participé",
"au",
"vote",
"."
] | [
6,
0,
6,
6,
6,
6,
6,
6
] | [[2.0078125,-0.41796875,-1.3671875,0.02935791015625,-0.126708984375,-0.446533203125,-1.052734375],[2(...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: Shenghao1993/xlm-roberta-base-finetuned-panx-fr
- Dataset: xtreme
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
Contributions
Thanks to @lewtun for evaluating this model.
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