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
] | [
[
8.0703125,
-1.67578125,
-1.9970703125,
-0.9755859375,
-1.583984375,
-1.056640625,
-2.08984375,
-0.88818359375,
-0.92724609375
],
[
9.2890625,
-1.81640625,
-2.771484375,
-1.1318359375,
-2.017578125,
-0.49462890625,
-2.443359375,
-0.31909179687... |
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
] | [
[
8.7265625,
-1.3505859375,
-2.009765625,
-0.49853515625,
-1.2705078125,
-1.6005859375,
-1.884765625,
-1.572265625,
-1.41015625
],
[
0.148193359375,
-0.0249176025390625,
-2.5390625,
9.0078125,
-0.170654296875,
-0.403564453125,
-2.955078125,
-0.... |
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
] | [
[
6.26953125,
-1.7314453125,
-1.5341796875,
0.196533203125,
0.439697265625,
-1.9013671875,
-1.7978515625,
-2.166015625,
-1.0419921875
],
[
0.1824951171875,
-1.052734375,
-2.9140625,
6.25390625,
-2.517578125,
1.4580078125,
-3.4765625,
4.375,
... |
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
] | [[7.7421875,-1.029296875,-1.7431640625,-0.58203125,-1.5556640625,-1.134765625,-1.6962890625,-1.26660(...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
] | [[8.0078125,-1.302734375,-2.072265625,-0.298583984375,-1.1962890625,-1.32421875,-1.5712890625,-1.406(...TRUNCATED) |
3358 | [
"SATURDAY",
",",
"DECEMBER",
"7",
"SCHEDULE"
] | [
21,
6,
20,
10,
21
] | [
5,
22,
5,
16,
16
] | [
8,
8,
8,
8,
8
] | [[6.97265625,-1.1220703125,-1.353515625,-0.395263671875,-0.81396484375,-1.3759765625,-1.4091796875,-(...TRUNCATED) |
768 | [
"against",
",",
"points",
")",
":"
] | [
14,
6,
41,
5,
8
] | [
6,
22,
10,
22,
22
] | [
8,
8,
8,
8,
8
] | [[7.77734375,-1.0322265625,-1.7353515625,-0.63232421875,-1.65234375,-1.0537109375,-1.7275390625,-1.2(...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
] | [[8.2890625,-1.451171875,-1.8544921875,-0.705078125,-1.22265625,-1.4931640625,-1.828125,-1.400390625(...TRUNCATED) |
2522 | [
"4.",
"Italy",
"887"
] | [
10,
21,
10
] | [
5,
16,
16
] | [
8,
0,
8
] | [[7.83984375,-1.310546875,-1.75390625,-0.7490234375,-1.392578125,-1.21484375,-1.73046875,-1.38378906(...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
] | [[8.2578125,-0.83349609375,-1.357421875,-0.60986328125,-1.5712890625,-1.439453125,-1.888671875,-1.39(...TRUNCATED) |
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Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
- Task: Token Classification
- Model: jjglilleberg/bert-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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