---
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.