|
---
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|
annotations_creators:
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- expert-generated
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|
language_creators:
|
|
- machine-generated
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|
languages:
|
|
- code
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|
licenses:
|
|
- unknown
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|
multilinguality:
|
|
- monolingual
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|
pretty_name: BT11
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size_categories:
|
|
- unknown
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|
source_datasets:
|
|
- original
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task_categories:
|
|
- structure-prediction
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task_ids:
|
|
- structure-prediction-other-word-segmentation
|
|
---
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|
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# Dataset Card for BT11
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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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|
|
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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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BT11 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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|
|
|
## 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": 20170,
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"identifier": "currentLineHighlight",
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"segmentation": "current Line Highlight"
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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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|
|
|
### 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}
|
|
}
|
|
```
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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. |
