Datasets:
feat_id stringlengths 4 8 | tokens sequence | tags sequence | evaluation_predictions sequence |
|---|---|---|---|
TR-5075 | [
"Thus",
",",
"random",
"dictionaries",
"like",
"uniform",
"indicator",
"(",
"UI",
")",
"or",
"Brownian",
"motion",
"(",
"B",
")",
"do",
"not",
"introduce",
"additional",
"variance",
"into",
"the",
"FIF",
"score",
"."
] | [
4,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
0,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4
] | [
[
-0.525390625,
-0.370361328125,
-0.70068359375,
-2.1015625,
5.7578125
],
[
-1.80078125,
-1.0068359375,
-1.4658203125,
-2.576171875,
7.625
],
[
-1.39453125,
-1.5869140625,
-1.3740234375,
-2.68359375,
7.69921875
],
[
-0.144775390625,
-1.... |
TR-2116 | [
"The",
"charging",
"terminates",
"when",
"the",
"voltage",
"reaches",
"to",
"4.35",
"V.",
"The",
"corresponding",
"charging",
"rates",
"are",
"0.143",
",",
"0.45",
",",
"and",
"0.77",
"C",
"respectively",
"at",
"the",
"end",
"of",
"the",
"CC",
"phases",
".... | [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4
] | [
[
0.03106689453125,
-0.68994140625,
-0.443603515625,
-2.283203125,
5.1953125
],
[
-0.358642578125,
-1.892578125,
-0.6005859375,
-2.390625,
6.27734375
],
[
-0.379638671875,
-1.4716796875,
-0.5751953125,
-2.94921875,
5.50390625
],
[
-0.677734... |
TR-4307 | [
"For",
"example",
",",
"TCS",
"is",
"an",
"abbreviation",
"of",
"the",
"entity",
"Tata",
"Consultancy",
"Service",
"in",
"case",
"of",
"the",
"following",
"pattern",
"Tata",
"Consultancy",
"Service",
",",
"(",
"TCS",
")",
"."
] | [
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
4,
1,
4,
4
] | [
[
-0.6953125,
-0.46044921875,
-0.6171875,
-2.17578125,
5.58984375
],
[
-2.23046875,
-0.7421875,
-1.6376953125,
-2.5546875,
7.02734375
],
[
-2.357421875,
-0.7841796875,
-1.3125,
-2.611328125,
7.1875
],
[
-2.568359375,
-0.419189453125,
... |
TR-13457 | [
"Dataset",
"A",
"number",
"of",
"sleep",
"health",
"studies",
"have",
"been",
"compiled",
"into",
"datasets",
"that",
"are",
"used",
"in",
"quantitative",
"experiments",
",",
"i.e.",
"the",
"Sleep",
"Heart",
"Health",
"Study",
"(",
"SHHS",
")",
",",
"Montrea... | [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
0,
2,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
1,
4,
4
] | [
[
-0.951171875,
-0.2010498046875,
-1.0078125,
-2.390625,
6.27734375
],
[
-1.2314453125,
-1.04296875,
-1.7236328125,
-2.8671875,
7.4609375
],
[
-2.259765625,
-0.8232421875,
-1.17578125,
-2.826171875,
7.296875
],
[
-2.275390625,
-1.242187... |
TR-8053 | [
"The",
"specific",
"calibration",
"distance",
"we",
"consider",
"is",
"the",
"Cramer",
"-",
"von",
"Mises",
"(",
"CvM",
")",
"distance",
",",
"i.e.",
"the",
"distance",
"between",
"the",
"model",
"'s",
"predictive",
"cumulative",
"distribution",
"function",
"(... | [
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | [
[
-0.79736328125,
-0.27099609375,
-0.71240234375,
-2.380859375,
5.9375
],
[
-1.720703125,
-1.5771484375,
-1.7041015625,
-2.630859375,
8.09375
],
[
-1.1162109375,
-1.7880859375,
-1.8896484375,
-3.056640625,
7.8671875
],
[
-1.720703125,
-... |
TR-1647 | ["Comparison","to","previously","published","F1","scores","for","joint","named","entity","recognitio(...TRUNCATED) | [
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
0,
2,
4,
1,
4,
4
] | [[-0.7333984375,-0.131591796875,-0.96728515625,-2.337890625,6.1484375],[-1.1923828125,-1.4296875,-1.(...TRUNCATED) |
TR-3768 | ["Left","atrial","appendage","can","be","viewed","as","an","anatomical","projection","from","the","m(...TRUNCATED) | [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | [[-0.283203125,-0.8349609375,-0.517578125,-2.19921875,5.64453125],[2.87890625,-1.9716796875,-0.81103(...TRUNCATED) |
TR-7795 | ["For","NAMD",",","the","APOA1","case","is","a","92","thousand","atom","Particle","Mesh","Ewald","("(...TRUNCATED) | [
4,
1,
4,
4,
1,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | [[-0.896484375,-0.307861328125,-1.072265625,-2.30859375,6.2109375],[-1.9208984375,-0.576171875,-1.86(...TRUNCATED) |
TR-7413 | ["Also",",","is","the","circularly","symmetric","complex","Gaussian","(","CSCG",")","noise","at","th(...TRUNCATED) | [
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | [[-0.72705078125,-0.73681640625,-0.70068359375,-2.451171875,6.3671875],[-1.86328125,-1.373046875,-1.(...TRUNCATED) |
TR-7868 | ["An","average","state","estimator","is","designed","for","each","ES","system",",","using","the","lo(...TRUNCATED) | [
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | [[-0.1298828125,-1.052734375,-0.52490234375,-2.27734375,5.9609375],[-0.28759765625,-2.6015625,-1.130(...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: lewtun/autotrain-acronym-identification-7324788
- Dataset: acronym_identification
- Config: default
- Split: train
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
Contributions
Thanks to @qingxuwenli for evaluating this model.
- Downloads last month
- 8