metadata

annotations_creators:
  - expert-generated
language_creators:
  - machine-generated
language:
  - code
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - structure-prediction
task_ids: []
pretty_name: Jhotdraw
tags:
  - word-segmentation

Dataset Card for Jhotdraw

Dataset Description

Paper: Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF

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.

Jhotdraw is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier.

Languages

Java

Dataset Structure

Data Instances

{
    "index": 0,
    "identifier": "abstractconnectorserializeddataversion",
    "segmentation": "abstract connector serialized data version"
}

Data Fields

index: a numerical index.
identifier: the original identifier.
segmentation: the gold segmentation for the identifier.

Dataset Creation

All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: hashtag and segmentation or identifier and segmentation.
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.
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 spans field.

Additional Information

Citation Information

@inproceedings{madani2010recognizing,
  title={Recognizing words from source code identifiers using speech recognition techniques},
  author={Madani, Nioosha and Guerrouj, Latifa and Di Penta, Massimiliano and Gueheneuc, Yann-Gael and Antoniol, Giuliano},
  booktitle={2010 14th European Conference on Software Maintenance and Reengineering},
  pages={68--77},
  year={2010},
  organization={IEEE}
}

Contributions

This dataset was added by @ruanchaves while developing the hashformers library.