---
annotations_creators:
- expert-generated
language_creators:
- machine-generated
languages:
- code
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: Lynx
size_categories:
- unknown
source_datasets:
- original
task_categories:
- structure-prediction
task_ids:
- structure-prediction-other-word-segmentation
---

# Dataset Card for Lynx

## Dataset Description

- **Paper:** [Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF](https://ksiresearch.org/seke/seke18paper/seke18paper_167.pdf)

### 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.

Lynx is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier.

Besides identifier segmentation, the gold labels for this dataset also include abbreviation expansion.

### Languages

- C

## Dataset Structure

### Data Instances

```
{
    "index": 3,
    "identifier": "abspath",
    "segmentation": "abs path",
    "expansion": "absolute path"
}
```

### Data Fields

- `index`: a numerical index.
- `identifier`: the original identifier.
- `segmentation`: the gold segmentation for the identifier, without abbreviation expansion.
- `expansion`: the gold segmentation for the identifier, with abbreviation expansion.

### 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}
}
```

### Contributions

This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library.