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DEV-583
[ "The", "lateralization", "of", "*", "r", "coronal", "sequences", ",", "from", "what", "we", "can", "see", ",", "post", "-", "dates", "Old", "Persian.(There", "are", "no", "good", "direct", "precursors", "of", "the", "forms", "listed", "above", ",", "but", ...
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[ [ -0.53955078125, -0.392822265625, -0.6328125, -2.29296875, 5.43359375 ], [ -0.85595703125, -2.3359375, -0.82958984375, -2.51171875, 7.08984375 ], [ 0.2432861328125, -3.0625, -0.63232421875, -2.810546875, 6.421875 ], [ -0.916015625, -2....
DEV-798
[ "Ganin", ",", "inspired", "by", "the", "recent", "work", "on", "generative", "adversarial", "networks", "(", "GAN", ")", ",", "proposed", "the", "domain", "adversarial", "neural", "network", "(", "DANN", ")", "." ]
[ 4, 4, 4, 4, 4, 4, 4, 4, 0, 2, 2, 4, 1, 4, 4, 4, 4, 0, 2, 2, 2, 4, 1, 4, 4 ]
[ [ -0.5966796875, -0.47900390625, -0.89453125, -2.1640625, 5.90234375 ], [ -0.50732421875, -0.285400390625, -1.7734375, -2.873046875, 6.671875 ], [ -0.9853515625, -0.669921875, -1.740234375, -2.830078125, 6.7890625 ], [ -1.3583984375, -0...
DEV-527
[ "Thus", ",", "segmentation", "can", "play", "an", "important", "role", "towards", "improving", "IR", "performance", "of", "the", "search", "engine", "." ]
[ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 ]
[ [ 0.25390625, -0.72802734375, -0.39111328125, -1.982421875, 4.9296875 ], [ -0.79052734375, -1.7451171875, -1.490234375, -3.09765625, 7.48828125 ], [ -0.68115234375, -1.818359375, -1.087890625, -3.12890625, 7.19140625 ], [ 0.1981201171875, ...
DEV-226
[ "The", "pivotal", "source", ",", "i.e.", "Transport", "Data", ",", "can", "additionally", "be", "found", "across", "different", "urban", "settings", "also", "through", "open", "data", "standards", "such", "as", "the", "General", "Transit", "Feed", "Specification...
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[ [ -0.859375, -0.336181640625, -1.150390625, -2.359375, 6.51953125 ], [ -2.14453125, -0.88916015625, -1.9189453125, -2.505859375, 7.9921875 ], [ -1.5654296875, -0.83935546875, -2.0625, -2.822265625, 7.7421875 ], [ -2.234375, -1.100585937...
DEV-570
[ "leveraged", "a", "local", "activity", "measurement", ",", "that", "is", ",", "a", "clipped", "and", "normalized", "variance", "or", "standard", "deviation", ",", "to", "drive", "the", "relative", "total", "variation", "(", "RTV", ")", "for", "smoothing", ",...
[ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 2, 2, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 ]
[ [ -0.822265625, -0.544921875, -1.0439453125, -2.451171875, 6.44140625 ], [ -0.74169921875, -1.720703125, -1.3955078125, -2.275390625, 7.44921875 ], [ -1.298828125, -2.05859375, -1.24609375, -2.44921875, 7.7109375 ], [ -1.6240234375, -2....
DEV-1093
["The","diverse","network","functions","forming","5","G","infrastructure","are","placed","on","VMs",(...TRUNCATED)
[4,4,4,4,4,1,3,4,4,4,4,1,4,4,4,4,4,4,1,4,0,2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4(...TRUNCATED)
[[-0.328857421875,-0.44189453125,-0.8037109375,-2.291015625,5.5390625],[-0.498291015625,-1.979492187(...TRUNCATED)
DEV-423
["Various","network","augmentations",",","post","-","processing","steps","such","as","fully","-","co(...TRUNCATED)
[ 4, 4, 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, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[[-0.716796875,-0.66015625,-1.017578125,-2.5078125,6.5859375],[-0.9150390625,-1.8779296875,-1.697265(...TRUNCATED)
DEV-1622
["Then",",","we","use","two","types","of","classifiers",":","a","Virtual","Classifier","(","VC",")",(...TRUNCATED)
[ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 2, 4, 1, 4, 4, 4, 4, 4, 4 ]
[[-0.54443359375,-0.406005859375,-0.798828125,-2.41796875,6.08203125],[-1.8154296875,-1.515625,-1.78(...TRUNCATED)
DEV-83
["The","CKA","and","CKB","represent","the","Cyclic","Redundancy","Check","(","CRC",")","calculated",(...TRUNCATED)
[ 4, 1, 4, 1, 4, 4, 0, 2, 2, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ]
[[-0.5068359375,-0.385986328125,-0.61669921875,-2.328125,5.73046875],[-1.587890625,-0.52587890625,-1(...TRUNCATED)
DEV-717
["With","proposed","network","design","and","optimized","post","-","processing","code","the","full",(...TRUNCATED)
[ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 ]
[[-0.8447265625,-0.34521484375,-1.091796875,-2.21484375,6.17578125],[-0.8369140625,-2.072265625,-1.3(...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: lewtun/autotrain-acronym-identification-7324788
  • Dataset: acronym_identification
  • Config: default
  • Split: validation

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

Contributions

Thanks to @prashanthr025@gmail.com for evaluating this model.

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