ruanchaves
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README.md
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---
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---
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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: Jhotdraw
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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 Jhotdraw
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## Dataset Description
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- **Paper:** [Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF](https://ksiresearch.org/seke/seke18paper/seke18paper_167.pdf)
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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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Jhotdraw is a dataset for identifier segmentation, 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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## 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": "abstractconnectorserializeddataversion",
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"segmentation": "abstract connector serialized data version"
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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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### Citation Information
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```
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@inproceedings{li2018helpful,
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title={Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF.},
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author={Li, Jiechu and Du, Qingfeng and Shi, Kun and He, Yu and Wang, Xin and Xu, Jincheng},
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booktitle={SEKE},
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pages={175--174},
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year={2018}
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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.
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