metadata

annotations_creators:
  - expert-generated
language_creators:
  - machine-generated
languages:
  - code
licenses:
  - unknown
multilinguality:
  - monolingual
pretty_name: BT11
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - structure-prediction
task_ids:
  - structure-prediction-other-word-segmentation

Dataset Card for BT11

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.

BT11 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": 20170,
    "identifier": "currentLineHighlight",
    "segmentation": "current Line Highlight"
}

Data Fields

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

Citation Information

@inproceedings{li2018helpful,
  title={Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF.},
  author={Li, Jiechu and Du, Qingfeng and Shi, Kun and He, Yu and Wang, Xin and Xu, Jincheng},
  booktitle={SEKE},
  pages={175--174},
  year={2018}
}

Contributions

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