|
---
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annotations_creators:
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- expert-generated
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language_creators:
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- machine-generated
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languages:
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- code
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licenses:
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- unknown
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multilinguality:
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- monolingual
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pretty_name: The Loyola University of Delaware Identifier Splitting Oracle
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size_categories:
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- unknown
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source_datasets:
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- original
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task_categories:
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- structure-prediction
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task_ids:
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- structure-prediction-other-word-segmentation
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|
---
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# Dataset Card for The Loyola University of Delaware Identifier Splitting Oracle
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Dataset Creation](#dataset-creation)
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- [Additional Information](#additional-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Repository:** [Loyola University of Delaware Identifier Splitting Oracle](http://www.cs.loyola.edu/~binkley/ludiso/)
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- **Paper:** [An empirical study of identifier splitting techniques](https://dl.acm.org/doi/10.1007/s10664-013-9261-0)
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### Dataset Summary
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In programming languages, identifiers are tokens (also called symbols) which name language entities.
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Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages.
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The Loyola University of Delaware Identifier Splitting Oracle is a dataset for identifier segmentation,
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i.e. the task of adding spaces between the words on a identifier.
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### Languages
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- Java
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- C
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- C++
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|
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## Dataset Structure
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### Data Instances
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```
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{
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"index": 0,
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"identifier": "::CreateProcess",
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"segmentation": ":: Create Process",
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"language": "cpp",
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"source": "mozilla-source-1.1"
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}
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```
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### Data Fields
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- `index`: a numerical index.
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- `identifier`: the original identifier.
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- `segmentation`: the gold segmentation for the identifier.
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- `language`: the programming language of the source.
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- `source`: the source of the identifier.
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## Dataset Creation
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- All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`.
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- The only difference between `hashtag` and `segmentation` or between `identifier` and `segmentation` are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields.
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- There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ).
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- If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field.
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### Citation Information
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```
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@article{hill2014empirical,
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title={An empirical study of identifier splitting techniques},
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author={Hill, Emily and Binkley, David and Lawrie, Dawn and Pollock, Lori and Vijay-Shanker, K},
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journal={Empirical Software Engineering},
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volume={19},
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number={6},
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pages={1754--1780},
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year={2014},
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publisher={Springer}
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}
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```
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### Contributions
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This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library. |
