feat_id stringlengths 1 4 | tokens sequence | feat_pos_tags sequence | feat_chunk_tags sequence | tags sequence | evaluation_predictions sequence |
|---|---|---|---|---|---|
3068 | [
"Division",
"three"
] | [
20,
10
] | [
5,
16
] | [
8,
8
] | [
[
9.96875,
-2.439453125,
-1.947265625,
-1.955078125,
0.56005859375,
-1.7236328125,
-0.6943359375,
-2.62109375,
-1.2646484375
],
[
10.9921875,
-1.3857421875,
-2.65625,
-1.3671875,
-0.59765625,
-0.552734375,
-1.9189453125,
-1.4248046875,
-1.2... |
2369 | [
"Nippon",
"Telegraph",
"and",
"Telephone",
"Corp",
"(",
"NTT",
")",
"said",
"on",
"Friday",
"that",
"it",
"hopes",
"to",
"move",
"into",
"the",
"international",
"telecommunications",
"business",
"as",
"soon",
"as",
"possible",
"following",
"the",
"government",
... | [
21,
21,
9,
21,
21,
4,
21,
5,
37,
14,
21,
14,
27,
41,
34,
36,
14,
11,
15,
23,
20,
29,
29,
14,
15,
20,
11,
20,
26,
20,
34,
36,
21,
14,
10,
23,
14,
11,
38,
20,
7
] | [
5,
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16,
16,
16,
22,
5,
22,
10,
6,
5,
8,
5,
10,
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5,
16,
5,
16,
5,
16,
10,
21,
5,
6,
5,
16,
6,
5,
16,
16,
22
] | [
2,
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8,
8,
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8,
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8,
8,
8,
8,
8,
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8,
8,
8,
8,
8,
8,
8,
8,
8,
2,
8,
8,
8,
8,
8,
8,
8,
8
] | [
[
10.5859375,
-2.5859375,
-1.4833984375,
-2.478515625,
1.375,
-2.43359375,
-0.45458984375,
-3.4765625,
-1.162109375
],
[
1.185546875,
0.323486328125,
-3.296875,
10.4765625,
0.388427734375,
0.0284576416015625,
-3.482421875,
-0.416748046875,
... |
1103 | [
"Canadian",
"West",
"Coast",
"Vessel",
"Loadings",
"-",
"CWB",
"."
] | [
21,
21,
21,
21,
21,
8,
21,
7
] | [
5,
16,
16,
16,
16,
22,
5,
22
] | [
1,
8,
8,
8,
8,
8,
8,
8
] | [
[
9.5390625,
-2.828125,
-1.9921875,
-1.45703125,
2.171875,
-2.134765625,
-1.22265625,
-2.828125,
-1.0927734375
],
[
0.375732421875,
-0.1456298828125,
-3.55859375,
9.5625,
-0.18701171875,
0.27783203125,
-3.27734375,
2.07421875,
-2.2578125
... |
2562 | [
"30.",
"Alessandra",
"Merlin",
"(",
"Italy",
")",
"1:51.16"
] | [
21,
21,
21,
4,
21,
5,
10
] | [
5,
16,
16,
22,
5,
22,
5
] | [
8,
3,
7,
8,
0,
8,
8
] | [[10.0,-2.216796875,-1.107421875,-2.5234375,0.1431884765625,-1.9052734375,-0.708984375,-3.12890625,-(...TRUNCATED) |
1883 | [
"Hindu",
"party",
"forces",
"India",
"parliament",
"to",
"adjourn",
"."
] | [
21,
20,
41,
21,
20,
34,
36,
7
] | [
5,
16,
10,
5,
16,
10,
21,
22
] | [
1,
8,
8,
0,
8,
8,
8,
8
] | [[10.703125,-2.359375,-1.21875,-2.5546875,0.362548828125,-2.462890625,-0.319580078125,-3.279296875,-(...TRUNCATED) |
3358 | [
"SATURDAY",
",",
"DECEMBER",
"7",
"SCHEDULE"
] | [
21,
6,
20,
10,
21
] | [
5,
22,
5,
16,
16
] | [
8,
8,
8,
8,
8
] | [[9.8515625,-2.37109375,-1.1875,-2.63671875,0.3759765625,-1.990234375,-0.2301025390625,-3.2578125,-1(...TRUNCATED) |
768 | [
"against",
",",
"points",
")",
":"
] | [
14,
6,
41,
5,
8
] | [
6,
22,
10,
22,
22
] | [
8,
8,
8,
8,
8
] | [[11.5390625,-2.712890625,-1.1220703125,-3.06640625,-0.060089111328125,-2.505859375,-0.3447265625,-3(...TRUNCATED) |
952 | [
"It",
"has",
"produced",
"1.5",
"million",
"hectolitres",
"."
] | [
27,
41,
39,
10,
10,
23,
7
] | [
5,
10,
21,
5,
16,
16,
22
] | [
8,
8,
8,
8,
8,
8,
8
] | [[10.9921875,-2.7890625,-1.34765625,-2.767578125,0.488525390625,-2.53125,-0.4287109375,-3.271484375,(...TRUNCATED) |
2522 | [
"4.",
"Italy",
"887"
] | [
10,
21,
10
] | [
5,
16,
16
] | [
8,
0,
8
] | [[9.5,-2.50390625,-1.28125,-2.498046875,0.04736328125,-1.962890625,-0.376220703125,-3.015625,-1.0029(...TRUNCATED) |
318 | ["Australia","-","Mark","Taylor","(","captain",")",",","Mark","Waugh",",","Ricky","Ponting",",","Gre(...TRUNCATED) | [21,8,21,21,4,20,5,6,21,21,6,21,21,6,21,21,6,21,21,6,21,21,6,21,21,6,21,21,6,21,21,6,21,21,6,21,21,6(...TRUNCATED) | [5,22,5,16,22,5,22,22,5,16,22,5,16,22,5,16,22,5,16,22,5,16,22,5,16,22,5,16,22,5,16,22,5,16,22,5,16,2(...TRUNCATED) | [
0,
8,
3,
7,
8,
8,
8,
8,
3,
7,
8,
3,
7,
8,
3,
7,
8,
3,
7,
8,
3,
7,
8,
3,
7,
8,
3,
7,
8,
3,
7,
8,
3,
7,
8,
3,
7,
8,
3,
7,
8,
8,
8
] | [[11.234375,-2.220703125,-1.4091796875,-2.619140625,-0.09759521484375,-2.2578125,-0.60498046875,-3.0(...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: baptiste/deberta-finetuned-ner
- Dataset: conll2003
- Config: conll2003
- Split: test
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
Contributions
Thanks to @lewtun for evaluating this model.
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