Datasets:
Languages:
code
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
machine-generated
Annotations Creators:
expert-generated
Source Datasets:
original
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - machine-generated | |
| language: | |
| - code | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - unknown | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - token-classification | |
| task_ids: [] | |
| pretty_name: Binkley | |
| tags: | |
| - 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. | |
| ## 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. | |
| ## Additional Information | |
| ### 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. |