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 | |
language: | |
- code | |
license: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- unknown | |
source_datasets: | |
- original | |
task_categories: | |
- structure-prediction | |
- code-generation | |
- conditional-text-generation | |
task_ids: [] | |
pretty_name: Lynx | |
tags: | |
- word-segmentation | |
# Dataset Card for Lynx | |
## Table of Contents | |
- [Table of Contents](#table-of-contents) | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Dataset Creation](#dataset-creation) | |
- [Additional Information](#additional-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## 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", | |
"spans": { | |
"text": [ | |
"abs" | |
], | |
"expansion": [ | |
"absolute" | |
], | |
"start": [ | |
0 | |
], | |
"end": [ | |
4 | |
] | |
} | |
} | |
``` | |
### 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. | |
- `spans`: the start and end index of each abbreviation, the text of the abbreviation and its corresponding expansion. | |
## Dataset Creation | |
- All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`. | |
- The only difference between `hashtag` and `segmentation` or between `identifier` and `segmentation` are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields. | |
- There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ). | |
- If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field. | |
### Citation Information | |
``` | |
@inproceedings{madani2010recognizing, | |
title={Recognizing words from source code identifiers using speech recognition techniques}, | |
author={Madani, Nioosha and Guerrouj, Latifa and Di Penta, Massimiliano and Gueheneuc, Yann-Gael and Antoniol, Giuliano}, | |
booktitle={2010 14th European Conference on Software Maintenance and Reengineering}, | |
pages={68--77}, | |
year={2010}, | |
organization={IEEE} | |
} | |
``` | |
### Contributions | |
This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library. |