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
] | [
[
6.671875,
0.05902099609375,
-0.92333984375,
-0.9833984375,
-0.8876953125,
-0.748046875,
-0.37646484375,
-1.2392578125,
0.024383544921875
],
[
10.4375,
0.1636962890625,
-0.4736328125,
-1.494140625,
-2.64453125,
-0.716796875,
-0.83544921875,
-0... |
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
] | [
[
8.2109375,
-0.74169921875,
-1.83203125,
-1.4111328125,
-1.3056640625,
-0.3984375,
0.2034912109375,
-1.7392578125,
0.1314697265625
],
[
0.0465087890625,
-0.377685546875,
-2.390625,
-0.81298828125,
-2.7265625,
9.1796875,
-0.92919921875,
-0.5083... |
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
] | [
[
4.23046875,
0.064208984375,
-0.162109375,
-1.6201171875,
-1.6630859375,
0.7177734375,
0.58056640625,
-1.97265625,
-0.80908203125
],
[
0.53955078125,
5.05859375,
-2.5234375,
-1.2734375,
-3.046875,
4.671875,
-3.013671875,
1.73828125,
-2.783... |
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
] | [[6.88671875,-0.998046875,-2.2578125,0.1685791015625,0.71240234375,-0.9560546875,-1.068359375,-1.380(...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
] | [[7.62890625,-0.0034122467041015625,-1.2841796875,-1.3515625,-0.89306640625,-0.79248046875,-0.770019(...TRUNCATED) |
3358 | [
"SATURDAY",
",",
"DECEMBER",
"7",
"SCHEDULE"
] | [
21,
6,
20,
10,
21
] | [
5,
22,
5,
16,
16
] | [
8,
8,
8,
8,
8
] | [[7.046875,0.0232391357421875,-1.1884765625,-1.478515625,-0.62060546875,-0.54736328125,-0.7387695312(...TRUNCATED) |
768 | [
"against",
",",
"points",
")",
":"
] | [
14,
6,
41,
5,
8
] | [
6,
22,
10,
22,
22
] | [
8,
8,
8,
8,
8
] | [[7.63671875,-0.50439453125,-0.7626953125,-1.2802734375,-0.6279296875,-0.469970703125,-0.640625,-1.4(...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
] | [[8.1640625,-0.014312744140625,-1.3173828125,-1.2578125,-1.033203125,-0.4775390625,-0.50390625,-1.47(...TRUNCATED) |
2522 | [
"4.",
"Italy",
"887"
] | [
10,
21,
10
] | [
5,
16,
16
] | [
8,
0,
8
] | [[6.83984375,-0.4609375,-1.58984375,-1.3603515625,-0.7529296875,-0.513671875,-0.161865234375,-1.4462(...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
] | [[3.84375,-1.693359375,-2.189453125,1.306640625,2.740234375,-0.64404296875,-1.337890625,-1.47265625,(...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: 51la5/bert-large-NER
- Dataset: conll2003
- Config: conll2003
- Split: test
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
Contributions
Thanks to @aniketrawat97 for evaluating this model.
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