feat_id stringlengths 1 4 | tokens sequence | feat_pos_tags sequence | feat_chunk_tags sequence | tags sequence | evaluation_predictions sequence |
|---|---|---|---|---|---|
835 | [
"Liberian",
"striker",
"George",
"Weah",
"makes",
"a",
"welcome",
"return",
"for",
"Milan",
"alongside",
"Roberto",
"Baggio",
",",
"with",
"Montenegrin",
"Dejan",
"Savicevic",
"in",
"midfield",
"."
] | [
15,
20,
21,
21,
41,
11,
15,
20,
14,
21,
14,
21,
21,
6,
14,
21,
21,
21,
14,
20,
7
] | [
5,
16,
16,
16,
10,
5,
16,
16,
6,
5,
6,
5,
16,
22,
6,
5,
16,
16,
6,
5,
22
] | [
1,
8,
3,
7,
8,
8,
8,
8,
8,
2,
8,
3,
7,
8,
8,
1,
3,
7,
8,
8,
8
] | [
[
7.703125,
-0.97509765625,
-1.3642578125,
-0.495361328125,
-1.078125,
-1.412109375,
-1.8447265625,
-0.31787109375,
-1.1845703125
],
[
-1.2080078125,
-0.85546875,
-1.9296875,
0.81298828125,
-2.28515625,
2.953125,
-0.6025390625,
4.12890625,
... |
1493 | [
"Wenchang",
"has",
"built",
"a",
"berth",
"for",
"5,000",
"deadweight-tonne",
"container",
"ships",
"at",
"the",
"port",
"and",
"invested",
"34",
"million",
"yuan",
"(",
"$",
"4.1",
"million",
")",
"to",
"dredge",
"the",
"harbour",
",",
"Xinhua",
"said",
"... | [
20,
41,
39,
11,
20,
14,
10,
15,
20,
23,
14,
11,
20,
9,
37,
10,
10,
20,
4,
2,
10,
10,
5,
34,
36,
11,
20,
6,
21,
37,
7
] | [
5,
10,
21,
5,
16,
6,
5,
16,
16,
16,
6,
5,
16,
22,
10,
5,
16,
16,
22,
5,
16,
16,
22,
10,
21,
5,
16,
22,
5,
10,
22
] | [
0,
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,
8,
8,
2,
8,
8
] | [
[
7.3203125,
-1.2763671875,
-1.6669921875,
0.027984619140625,
-0.7705078125,
-1.1826171875,
-1.84765625,
-0.02142333984375,
-1.2939453125
],
[
-1.0048828125,
1.064453125,
-1.8564453125,
4.30859375,
-1.3828125,
3.1171875,
-1.65625,
0.09564208984... |
1853 | [
"Hooded",
"protesters",
"threw",
"burning",
"bottles",
"and",
"other",
"objects",
"at",
"police",
"in",
"Pamplona",
"after",
"the",
"protest",
"organised",
"by",
"Herri",
"Batasuna",
",",
"the",
"political",
"wing",
"of",
"Basque",
"separatist",
"group",
"ETA",
... | [
39,
23,
37,
38,
23,
9,
15,
23,
14,
20,
14,
21,
14,
11,
20,
37,
14,
21,
21,
6,
11,
15,
20,
14,
15,
15,
20,
21,
7
] | [
10,
5,
10,
21,
5,
22,
5,
16,
6,
5,
6,
5,
6,
5,
16,
10,
6,
5,
16,
22,
5,
16,
16,
6,
5,
16,
16,
16,
22
] | [
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
0,
8,
8,
8,
8,
8,
2,
6,
8,
8,
8,
8,
8,
1,
8,
8,
2,
8
] | [
[
7.7421875,
-1.3037109375,
-1.328125,
-0.56494140625,
-0.80078125,
-1.32421875,
-1.5771484375,
0.022857666015625,
-1.1455078125
],
[
7.4453125,
-1.1953125,
-1.7412109375,
-0.205810546875,
-1.1884765625,
-1.4580078125,
-2.068359375,
1.049804687... |
1451 | ["Winds","from","the","northeast","at","10","to","15","knots","(","19","to","28","kilometers","/","1(...TRUNCATED) | [
23,
14,
11,
20,
14,
10,
34,
10,
23,
4,
10,
34,
10,
23,
33,
10,
34,
10,
23,
14,
20,
5,
7
] | [
5,
6,
5,
16,
6,
5,
16,
16,
16,
22,
5,
16,
16,
16,
22,
5,
16,
16,
16,
6,
5,
22,
22
] | [
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8
] | [[7.57421875,-1.4345703125,-1.4931640625,-0.6943359375,-0.94970703125,-1.08203125,-1.638671875,0.103(...TRUNCATED) |
2589 | [
"ALPINE",
"SKIING-GOETCHL",
"WINS",
"WORLD",
"CUP",
"DOWNHILL",
"."
] | [
21,
21,
41,
20,
32,
23,
7
] | [
5,
16,
10,
5,
7,
5,
22
] | [
8,
8,
8,
1,
5,
8,
8
] | [[7.23828125,-0.77099609375,-1.484375,-0.6142578125,-1.35546875,-1.3896484375,-1.72265625,-0.0462646(...TRUNCATED) |
419 | [
"Indianapolis",
"closes",
"with",
"games",
"at",
"Kansas",
"City",
"and",
"Cincinnati",
"."
] | [
23,
41,
14,
23,
14,
21,
21,
9,
21,
7
] | [
5,
10,
6,
5,
6,
5,
16,
22,
5,
22
] | [
0,
8,
8,
8,
8,
0,
4,
8,
0,
8
] | [[7.5625,-1.4140625,-1.5966796875,-0.1287841796875,-0.8720703125,-0.91845703125,-1.7275390625,-0.372(...TRUNCATED) |
3107 | [
"Carlisle",
"1",
"Darlington",
"0"
] | [
21,
10,
21,
10
] | [
5,
16,
16,
16
] | [
2,
8,
2,
8
] | [[6.0546875,-1.1337890625,-1.7490234375,1.8515625,-0.288818359375,-1.142578125,-1.9833984375,-0.7421(...TRUNCATED) |
77 | [
"Japan",
"2",
"Syria",
"1",
"(",
"halftime",
"0-1",
")"
] | [
21,
10,
21,
10,
4,
20,
15,
5
] | [
5,
16,
16,
16,
16,
16,
1,
22
] | [
0,
8,
0,
8,
8,
8,
8,
8
] | [[7.84375,-1.2021484375,-1.1845703125,-0.5283203125,-0.96240234375,-1.140625,-1.814453125,-0.3239746(...TRUNCATED) |
2261 | [
"Thai",
"rice",
"vessels",
"loading",
"and",
"movements",
"at",
"Dec",
"06",
"."
] | [
21,
20,
23,
20,
9,
23,
14,
21,
10,
7
] | [
5,
16,
16,
16,
16,
16,
6,
5,
16,
22
] | [
1,
8,
8,
8,
8,
8,
8,
8,
8,
8
] | [[7.609375,-1.4892578125,-1.47265625,-0.61767578125,-0.89404296875,-1.1875,-1.845703125,0.2049560546(...TRUNCATED) |
1604 | [
"AMARILLO",
"1996-12-06"
] | [
21,
10
] | [
5,
16
] | [
0,
8
] | [[7.171875,-1.1962890625,-1.494140625,-0.546875,-1.1435546875,-0.5048828125,-1.7177734375,-0.1530761(...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: autoevaluate/entity-extraction
- Dataset: autoevaluate/conll2003-sample
- Config: autoevaluate--conll2003-sample
- 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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