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
] | [
[
7.1875,
-1.306640625,
-1.658203125,
-0.544921875,
-1.01171875,
-0.98046875,
-2.056640625,
-0.87646484375,
-0.26513671875
],
[
6.67578125,
-1.3876953125,
-2.107421875,
-0.349609375,
-1.5810546875,
-1.224609375,
-2.287109375,
-0.126708984375,
... |
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,
16,
16,
16,
16,
22,
5,
22,
10,
6,
5,
8,
5,
10,
21,
21,
6,
5,
16,
16,
16,
1,
12,
6,
5,
16,
5,
16,
5,
16,
10,
21,
5,
6,
5,
16,
6,
5,
16,
16,
22
] | [
2,
6,
6,
6,
6,
8,
2,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
2,
8,
8,
8,
8,
8,
8,
8,
8
] | [
[
8.6015625,
-1.322265625,
-1.869140625,
-0.6484375,
-1.1640625,
-1.125,
-1.7314453125,
-0.833984375,
-1.5068359375
],
[
-0.347412109375,
-0.974609375,
-1.8916015625,
7.015625,
-0.0198822021484375,
0.09820556640625,
-2.5859375,
0.5380859375,
... |
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
] | [
[
7.4375,
-1.6767578125,
-2.3046875,
0.23681640625,
-0.79638671875,
-1.05859375,
-2.345703125,
-0.1558837890625,
-1.3056640625
],
[
-0.389892578125,
-2.087890625,
-1.8330078125,
1.5400390625,
-2.25390625,
4.1484375,
-1.8876953125,
4.41015625,
... |
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
] | [[8.65625,-0.84521484375,-1.3037109375,-1.203125,-1.2548828125,-1.390625,-1.689453125,-1.1884765625,(...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
] | [[8.5703125,-1.1767578125,-1.6943359375,-0.5625,-0.92724609375,-1.455078125,-1.8447265625,-0.8466796(...TRUNCATED) |
3358 | [
"SATURDAY",
",",
"DECEMBER",
"7",
"SCHEDULE"
] | [
21,
6,
20,
10,
21
] | [
5,
22,
5,
16,
16
] | [
8,
8,
8,
8,
8
] | [[8.2265625,-0.9541015625,-1.724609375,-0.98291015625,-1.271484375,-1.255859375,-1.9970703125,-0.937(...TRUNCATED) |
768 | [
"against",
",",
"points",
")",
":"
] | [
14,
6,
41,
5,
8
] | [
6,
22,
10,
22,
22
] | [
8,
8,
8,
8,
8
] | [[8.375,-1.0595703125,-1.5126953125,-1.009765625,-1.1357421875,-1.501953125,-1.861328125,-0.79199218(...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
] | [[8.25,-1.27734375,-1.685546875,-0.8642578125,-1.294921875,-1.048828125,-1.71484375,-0.7060546875,-1(...TRUNCATED) |
2522 | [
"4.",
"Italy",
"887"
] | [
10,
21,
10
] | [
5,
16,
16
] | [
8,
0,
8
] | [[8.3828125,-1.2177734375,-1.4951171875,-1.1123046875,-1.1982421875,-1.2802734375,-1.7724609375,-1.1(...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
] | [[8.0625,-0.58740234375,-1.2744140625,-1.1337890625,-1.595703125,-1.0302734375,-1.6337890625,-0.8896(...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: sarahmiller137/distilbert-base-uncased-ft-conll2003
- Dataset: conll2003
- Config: conll2003
- Split: test
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
Contributions
Thanks to @sarahmiller137 for evaluating this model.
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