metadata

annotations_creators:
  - expert-generated
language_creators:
  - machine-generated
languages:
  - code
licenses:
  - unknown
multilinguality:
  - monolingual
pretty_name: The Loyola University of Delaware Identifier Splitting Oracle
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - structure-prediction
task_ids:
  - structure-prediction-other-word-segmentation

Dataset Card for The Loyola University of Delaware Identifier Splitting Oracle

Dataset Description

Repository: Loyola University of Delaware Identifier Splitting Oracle
Paper: An empirical study of identifier splitting techniques

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.

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.