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
] | [
[
5.56640625,
-1.3330078125,
-1.654296875,
-0.06353759765625,
-0.79443359375,
-0.8701171875,
-1.544921875,
0.27587890625,
0.048614501953125
],
[
4.7421875,
-0.8505859375,
-1.6728515625,
0.58984375,
-0.80859375,
-0.732421875,
-1.546875,
1.128906... |
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
] | [
[
7.73828125,
-1.4052734375,
-1.48046875,
0.070068359375,
-0.65625,
-1.2568359375,
-1.8076171875,
-0.236328125,
-1.32421875
],
[
0.257080078125,
-0.5625,
-1.5634765625,
5.54296875,
1.2734375,
0.09814453125,
-1.49609375,
0.37744140625,
-2.17... |
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
] | [
[
6.859375,
-1.8486328125,
-1.720703125,
-0.1678466796875,
-0.66748046875,
-1.240234375,
-1.880859375,
0.79345703125,
-0.5830078125
],
[
-0.346435546875,
-1.328125,
-2.029296875,
0.8837890625,
-1.6181640625,
2.587890625,
-1.17578125,
4.453125,
... |
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
] | [[7.74609375,-0.734375,-1.0751953125,-0.63818359375,-1.21875,-1.078125,-1.951171875,-0.44189453125,-(...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
] | [[7.58203125,-1.505859375,-1.5029296875,0.21240234375,-0.47265625,-1.2392578125,-1.8505859375,-0.195(...TRUNCATED) |
3358 | [
"SATURDAY",
",",
"DECEMBER",
"7",
"SCHEDULE"
] | [
21,
6,
20,
10,
21
] | [
5,
22,
5,
16,
16
] | [
8,
8,
8,
8,
8
] | [[6.4921875,-1.501953125,-1.66015625,-0.305908203125,-0.8779296875,-0.83203125,-1.4296875,0.10333251(...TRUNCATED) |
768 | [
"against",
",",
"points",
")",
":"
] | [
14,
6,
41,
5,
8
] | [
6,
22,
10,
22,
22
] | [
8,
8,
8,
8,
8
] | [[7.66015625,-0.98779296875,-1.2119140625,-0.63525390625,-0.84326171875,-1.291015625,-1.70703125,-0.(...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
] | [[7.4140625,-1.50390625,-1.53125,-0.44482421875,-0.7138671875,-1.1767578125,-1.6650390625,0.35595703(...TRUNCATED) |
2522 | [
"4.",
"Italy",
"887"
] | [
10,
21,
10
] | [
5,
16,
16
] | [
8,
0,
8
] | [[7.390625,-1.32421875,-1.482421875,-0.2005615234375,-0.90234375,-0.82275390625,-1.791015625,-0.1020(...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
] | [[7.42578125,-0.9033203125,-1.3017578125,-0.58349609375,-0.81396484375,-1.02734375,-1.7109375,-0.416(...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: autoevaluate/entity-extraction
- 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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