Datasets:
Languages:
code
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
machine-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
word-segmentation
License:
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. |