Datasets:
tokens sequence | tags sequence | evaluation_predictions sequence |
|---|---|---|
[
"Banay-Banay",
",",
"Cabuyao"
] | [
0,
3,
3
] | [
[
0.341064453125,
-0.307861328125,
-0.7607421875,
-0.75244140625,
-0.10040283203125,
-0.430419921875,
0.70849609375
],
[
-1.515625,
0.6875,
-0.80322265625,
1.0009765625,
-1.529296875,
3.767578125,
-0.292236328125
],
[
-1.41796875,
-2.07421875,
... |
[
"''",
"We",
"'ve",
"Got",
"Tonight",
"''",
"(",
"3:35",
")"
] | [
6,
1,
4,
4,
4,
6,
6,
6,
6
] | [
[
0.455810546875,
-0.08343505859375,
-0.76611328125,
-0.5908203125,
0.3388671875,
-0.69970703125,
0.345703125
],
[
5.88671875,
-1.4794921875,
-1.314453125,
0.283203125,
-0.048004150390625,
-1.6962890625,
-1.443359375
],
[
0.30517578125,
0.76611... |
[
"Amir",
"Mir",
"Sayyid",
"Ali",
"Hamadani"
] | [
1,
2,
5,
5,
5
] | [
[
0.347412109375,
-0.06475830078125,
-0.5693359375,
-0.72412109375,
-0.0455322265625,
-0.69873046875,
0.39794921875
],
[
-1.44140625,
5.0078125,
-0.85693359375,
1.162109375,
-2.2578125,
0.7216796875,
-2.30078125
],
[
-1.1669921875,
0.4594726562... |
[
"''",
"Shoulda",
"Let",
"You",
"Go",
"''",
"by",
"Keyshia",
"Cole"
] | [
6,
1,
4,
4,
4,
6,
6,
2,
5
] | [[0.37548828125,-0.0173187255859375,-0.6796875,-0.61181640625,0.0609130859375,-0.64306640625,0.33129(...TRUNCATED) |
[
"Saint",
"Vincent",
"and",
"the",
"Grenadines"
] | [
0,
3,
3,
3,
3
] | [[0.31689453125,-0.30517578125,-0.7412109375,-0.71533203125,-0.052886962890625,-0.46142578125,0.6914(...TRUNCATED) |
[
"Direct",
"descendant",
"of",
"Confucius",
"."
] | [
6,
6,
6,
2,
6
] | [[0.50244140625,-0.07904052734375,-0.69189453125,-0.666015625,-0.10992431640625,-0.64111328125,0.334(...TRUNCATED) |
[
"Rudy",
"Wurlitzer",
"as",
"Tom",
"O'Folliard"
] | [
2,
5,
6,
2,
5
] | [[0.254638671875,0.07440185546875,-0.48388671875,-0.74658203125,-0.0482177734375,-0.75244140625,0.34(...TRUNCATED) |
[
"They",
"had",
"one",
"son",
",",
"Esmé",
"Cecil",
"Wingfield-Stratford",
"."
] | [
6,
6,
6,
6,
6,
2,
5,
5,
6
] | [[0.38232421875,-0.0694580078125,-0.63720703125,-0.66845703125,-0.06671142578125,-0.64404296875,0.37(...TRUNCATED) |
[
"Jean-Yves",
"Thibaudet",
"-",
"''Conversations",
"With",
"''",
"(",
"1997",
")"
] | [
2,
5,
6,
6,
6,
6,
6,
6,
6
] | [[0.383544921875,-0.0007772445678710938,-0.52783203125,-0.705078125,0.08221435546875,-0.76611328125,(...TRUNCATED) |
[
"Rosy",
"Lovers",
"''",
"(",
"장미빛",
"연인들",
";",
"2014-2015",
")"
] | [
1,
4,
6,
6,
6,
6,
6,
6,
6
] | [[0.37939453125,-0.19384765625,-0.70947265625,-0.6201171875,0.2138671875,-0.5927734375,0.4482421875](...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: moghis/xlm-roberta-base-finetuned-panx-en
- 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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