jhotdraw / README.md
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---
annotations_creators:
- expert-generated
language_creators:
- machine-generated
languages:
- code
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: Jhotdraw
size_categories:
- unknown
source_datasets:
- original
task_categories:
- structure-prediction
task_ids:
- structure-prediction-other-word-segmentation
---
# Dataset Card for Jhotdraw
## Dataset Description
- **Paper:** [Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF](https://ksiresearch.org/seke/seke18paper/seke18paper_167.pdf)
### 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.
### 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](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library.