tokens sequence | tags sequence | evaluation_predictions sequence |
|---|---|---|
[
"Woolmer",
",",
"48",
",",
"played",
"19",
"tests",
"for",
"England",
"between",
"1975",
"and",
"1981",
"."
] | [
3,
8,
8,
8,
8,
8,
8,
8,
0,
8,
8,
8,
8,
8
] | [
[
7.28515625,
-0.6787109375,
-1.23828125,
-0.8720703125,
-1.4775390625,
-0.76904296875,
-1.4482421875,
-0.71044921875,
-0.7939453125
],
[
0.301513671875,
7.73828125,
0.62841796875,
0.020263671875,
-1.85546875,
0.20556640625,
-2.2265625,
-0.9951... |
[
"Russian",
"President",
"Boris",
"Yeltsin",
",",
"who",
"had",
"heart",
"bypass",
"surgery",
"a",
"month",
"ago",
",",
"plans",
"to",
"return",
"to",
"work",
"on",
"December",
"25",
",",
"the",
"head",
"of",
"the",
"upper",
"chamber",
"of",
"parliament",
... | [
1,
8,
3,
7,
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,
8,
2,
8,
8,
8,
8,
8
] | [
[
8.375,
-0.91748046875,
-1.337890625,
-0.63427734375,
-1.01953125,
-1.08984375,
-1.287109375,
-1.5546875,
-1.2177734375
],
[
0.51953125,
-0.93701171875,
-1.9521484375,
-0.806640625,
-2.181640625,
-0.97705078125,
-2.7265625,
8.65625,
-0.160... |
[
"Beauty",
"ideals",
"and",
"cultures",
"are",
"different",
"in",
"every",
"country",
".",
"\""
] | [
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8
] | [
[
8.2578125,
-1.275390625,
-1.724609375,
-0.99267578125,
-1.3759765625,
-0.84033203125,
-1.474609375,
-0.955078125,
-0.65576171875
],
[
8.1484375,
-0.1441650390625,
-2.083984375,
-0.6650390625,
-1.8388671875,
-0.69384765625,
-1.708984375,
-0.20... |
[
"W",
"L",
"T",
"GF",
"GA",
"PTS"
] | [
8,
8,
8,
8,
8,
8
] | [[8.4609375,-1.666015625,-2.029296875,-0.0677490234375,-0.308349609375,-0.8408203125,-1.54296875,-1.(...TRUNCATED) |
[
"UAE",
"2",
"1",
"1",
"0",
"4",
"3",
"4"
] | [
0,
8,
8,
8,
8,
8,
8,
8
] | [[8.4296875,-1.021484375,-1.4482421875,-0.79248046875,-1.228515625,-0.7802734375,-1.5087890625,-1.25(...TRUNCATED) |
[
"Sutton",
"(",
"Blackburn",
")"
] | [
3,
8,
2,
8
] | [[6.97265625,-0.189453125,-1.1513671875,-0.2164306640625,-1.1279296875,-0.908203125,-1.26171875,-1.0(...TRUNCATED) |
[
"LONDON",
"1996-12-07"
] | [
0,
8
] | [[8.59375,-0.796875,-1.6318359375,-0.87744140625,-1.5830078125,-0.63720703125,-1.248046875,-1.318359(...TRUNCATED) |
[
"Livshits",
"'s",
"words",
"are",
"an",
"attempt",
"to",
"put",
"pressure",
"on",
"the",
"company",
".",
"\""
] | [
3,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8
] | [[8.515625,-1.0029296875,-1.3876953125,-0.51904296875,-0.98388671875,-1.2451171875,-1.6904296875,-1.(...TRUNCATED) |
[
"These",
"people",
"do",
"n't",
"understand",
"what",
"they",
"'re",
"doing",
".",
"\""
] | [
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8
] | [[8.515625,-1.3662109375,-1.4609375,-0.94970703125,-1.173828125,-1.033203125,-1.6083984375,-0.919433(...TRUNCATED) |
[
"SOCCER",
"-",
"FIFA",
"BOSS",
"HAVELANGE",
"STANDS",
"BY",
"WEAH",
"."
] | [
8,
8,
2,
8,
3,
8,
8,
3,
8
] | [[6.56640625,-1.046875,-0.84130859375,-0.4658203125,-0.73486328125,-0.8017578125,-1.18359375,-1.5185(...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: AlexanderPeter/bert-finetuned-ner
- Dataset: conll2003
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
Contributions
Thanks to @test for evaluating this model.
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