|
---
|
|
annotations_creators:
|
|
- expert-generated
|
|
language_creators:
|
|
- machine-generated
|
|
languages:
|
|
- code
|
|
licenses:
|
|
- unknown
|
|
multilinguality:
|
|
- monolingual
|
|
pretty_name: Binkley
|
|
size_categories:
|
|
- unknown
|
|
source_datasets:
|
|
- original
|
|
task_categories:
|
|
- structure-prediction
|
|
task_ids:
|
|
- structure-prediction-other-word-segmentation
|
|
---
|
|
|
|
# Dataset Card for Binkley
|
|
|
|
## Dataset Description
|
|
|
|
- **Paper:** [Normalizing Source Code Vocabulary](https://www.researchgate.net/publication/224198190_Normalizing_Source_Code_Vocabulary)
|
|
|
|
### 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.
|
|
|
|
Binkley is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier.
|
|
|
|
### Languages
|
|
|
|
- C
|
|
- C++
|
|
- Java
|
|
|
|
## Dataset Structure
|
|
|
|
### Data Instances
|
|
|
|
```
|
|
{
|
|
"index": 0,
|
|
"identifier": "init_g16_i",
|
|
"segmentation": "init _ g 16 _ i"
|
|
}
|
|
```
|
|
|
|
### Data Fields
|
|
|
|
- `index`: a numerical index.
|
|
- `identifier`: the original identifier.
|
|
- `segmentation`: the gold segmentation for the identifier.
|
|
|
|
### Citation Information
|
|
|
|
```
|
|
@inproceedings{inproceedings,
|
|
author = {Lawrie, Dawn and Binkley, David and Morrell, Christopher},
|
|
year = {2010},
|
|
month = {11},
|
|
pages = {3 - 12},
|
|
title = {Normalizing Source Code Vocabulary},
|
|
journal = {Proceedings - Working Conference on Reverse Engineering, WCRE},
|
|
doi = {10.1109/WCRE.2010.10}
|
|
}
|
|
```
|
|
|
|
### Contributions
|
|
|
|
This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library. |
