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
] | [
[
10.9296875,
-1.3076171875,
-2.056640625,
-1.6279296875,
-1.3955078125,
-1.8310546875,
-2.4296875,
-1.6181640625,
-1.6904296875
],
[
9.984375,
-1.52734375,
-2.3828125,
-1.19140625,
-1.7197265625,
-1.5,
-2.787109375,
-1.0087890625,
-1.22558... |
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
] | [
[
11.609375,
-1.2041015625,
-1.9970703125,
-1.8388671875,
-1.306640625,
-2.056640625,
-1.884765625,
-2.205078125,
-2.361328125
],
[
-2.310546875,
0.0264739990234375,
-2.005859375,
10.2109375,
-2.03515625,
0.22412109375,
-1.4921875,
-0.997558593... |
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
] | [
[
9.7109375,
-1.10546875,
-2.1328125,
-1.234375,
-1.1826171875,
-2.173828125,
-2.138671875,
-1.7666015625,
-0.779296875
],
[
-0.5302734375,
-1.0966796875,
-2.30078125,
7.859375,
-3.16796875,
1.224609375,
-2.498046875,
2.560546875,
-1.983398... |
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
] | [[11.375,-0.390625,-1.68359375,-1.8271484375,-1.525390625,-2.0703125,-2.037109375,-2.369140625,-2.42(...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
] | [[11.484375,-1.33203125,-2.126953125,-1.6630859375,-1.298828125,-2.044921875,-1.8515625,-2.23828125,(...TRUNCATED) |
3358 | [
"SATURDAY",
",",
"DECEMBER",
"7",
"SCHEDULE"
] | [
21,
6,
20,
10,
21
] | [
5,
22,
5,
16,
16
] | [
8,
8,
8,
8,
8
] | [[10.7265625,-0.60400390625,-1.5498046875,-1.7431640625,-1.4501953125,-1.9736328125,-2.2265625,-2.06(...TRUNCATED) |
768 | [
"against",
",",
"points",
")",
":"
] | [
14,
6,
41,
5,
8
] | [
6,
22,
10,
22,
22
] | [
8,
8,
8,
8,
8
] | [[11.4609375,-0.96826171875,-1.8037109375,-1.845703125,-1.4326171875,-1.8330078125,-1.8095703125,-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
] | [[11.46875,-1.294921875,-2.1640625,-1.8984375,-1.685546875,-1.791015625,-1.8251953125,-1.72265625,-1(...TRUNCATED) |
2522 | [
"4.",
"Italy",
"887"
] | [
10,
21,
10
] | [
5,
16,
16
] | [
8,
0,
8
] | [[11.53125,-0.72216796875,-1.8173828125,-1.84765625,-1.361328125,-1.9521484375,-1.9931640625,-2.2324(...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
] | [[11.1015625,-0.54296875,-1.494140625,-1.6630859375,-1.603515625,-2.03125,-1.9609375,-2.322265625,-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: hieule/bert-finetuned-ner
- Dataset: conll2003
- Config: conll2003
- Split: test
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
Contributions
Thanks to @phpthinh for evaluating this model.
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