Datasets:

Languages:
code
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
machine-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
word-segmentation
License:
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- license: other
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # Dataset Card for Jhotdraw
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+
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+ ## Dataset Description
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+
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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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+
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+ ### Dataset Summary
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+
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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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+
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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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+
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+ ### Languages
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+
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+ - Java
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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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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+
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+ ### Data Fields
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+
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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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+
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+ ### Citation Information
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+
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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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+
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+ ### Contributions
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+
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+ This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library.