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
] | [
[
8.2265625,
-1.455078125,
-1.841796875,
-0.8857421875,
-1.4599609375,
-0.86376953125,
-2.48828125,
-0.80126953125,
-1.4267578125
],
[
8.328125,
-1.28515625,
-2.853515625,
-0.305419921875,
-2.177734375,
-1.41015625,
-3.408203125,
0.9033203125,
... |
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
] | [
[
8.59375,
-1.5,
-2.068359375,
-0.888671875,
-0.7919921875,
-0.7763671875,
-2.33984375,
-0.822265625,
-1.9560546875
],
[
-0.72900390625,
-1.26171875,
-2.525390625,
7.79296875,
-0.412841796875,
0.288818359375,
-2.09375,
-0.043365478515625,
-... |
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
] | [
[
8.0625,
-1.8359375,
-2.45703125,
-0.8955078125,
-1.0966796875,
0.01438140869140625,
-2.40625,
0.236083984375,
-1.8779296875
],
[
-0.1068115234375,
-1.7138671875,
-2.291015625,
-0.80712890625,
-2.359375,
3.126953125,
-1.794921875,
6.28125,
... |
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
] | [[9.7734375,-0.9287109375,-1.30078125,-1.7294921875,-1.703125,-1.2333984375,-2.236328125,-1.11328125(...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
] | [[8.921875,-1.5751953125,-2.15234375,-1.05078125,-1.29296875,-0.8857421875,-2.50390625,-0.1228027343(...TRUNCATED) |
3358 | [
"SATURDAY",
",",
"DECEMBER",
"7",
"SCHEDULE"
] | [
21,
6,
20,
10,
21
] | [
5,
22,
5,
16,
16
] | [
8,
8,
8,
8,
8
] | [[9.171875,-1.681640625,-1.7451171875,-1.2607421875,-1.10546875,-1.1015625,-2.142578125,-1.122070312(...TRUNCATED) |
768 | [
"against",
",",
"points",
")",
":"
] | [
14,
6,
41,
5,
8
] | [
6,
22,
10,
22,
22
] | [
8,
8,
8,
8,
8
] | [[9.46875,-1.3876953125,-1.0322265625,-1.7822265625,-1.5625,-1.10546875,-2.134765625,-0.6826171875,-(...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
] | [[8.375,-1.560546875,-2.376953125,-0.80712890625,-1.43359375,-0.479736328125,-2.208984375,-0.2558593(...TRUNCATED) |
2522 | [
"4.",
"Italy",
"887"
] | [
10,
21,
10
] | [
5,
16,
16
] | [
8,
0,
8
] | [[9.4140625,-1.2607421875,-1.7236328125,-1.4267578125,-1.646484375,-0.78173828125,-2.451171875,-0.95(...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
] | [[8.8203125,-0.5986328125,-1.1962890625,-1.712890625,-1.666015625,-0.908203125,-2.498046875,-0.37084(...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: 51la5/distilbert-base-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.
- Downloads last month
- 12