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Dataset Card for The Loyola University of Delaware Identifier Splitting Oracle
Dataset Summary
In programming languages, identifiers are tokens (also called symbols) which name language entities. Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages.
The Loyola University of Delaware Identifier Splitting Oracle is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier.
Languages
- Java
- C
- C++
Dataset Structure
Data Instances
{
"index": 0,
"identifier": "::CreateProcess",
"segmentation": ":: Create Process",
"language": "cpp",
"source": "mozilla-source-1.1"
}
Data Fields
index: a numerical index.identifier: the original identifier.segmentation: the gold segmentation for the identifier.language: the programming language of the source.source: the source of the identifier.
Dataset Creation
All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields:
hashtagandsegmentationoridentifierandsegmentation.The only difference between
hashtagandsegmentationor betweenidentifierandsegmentationare the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields.There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as
_,:,~).If there are any annotations for named entity recognition and other token classification tasks, they are given in a
spansfield.
Citation Information
@article{hill2014empirical,
title={An empirical study of identifier splitting techniques},
author={Hill, Emily and Binkley, David and Lawrie, Dawn and Pollock, Lori and Vijay-Shanker, K},
journal={Empirical Software Engineering},
volume={19},
number={6},
pages={1754--1780},
year={2014},
publisher={Springer}
}
Contributions
This dataset was added by @ruanchaves while developing the hashformers library.
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