Datasets:
Fix `license` metadata
#1
by julien-c HF Staff - opened
README.md
CHANGED
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- machine-generated
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- code
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- unknown
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multilinguality:
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- monolingual
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pretty_name: Binkley
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size_categories:
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- unknown
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source_datasets:
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- original
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task_categories:
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- structure-prediction
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task_ids:
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- structure-prediction-other-word-segmentation
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---
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# Dataset Card for Binkley
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## Dataset Description
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- **Paper:** [Normalizing Source Code Vocabulary](https://www.researchgate.net/publication/224198190_Normalizing_Source_Code_Vocabulary)
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### Dataset Summary
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In programming languages, identifiers are tokens (also called symbols) which name language entities.
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Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages.
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Binkley is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier.
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### Languages
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- C
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- C++
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- Java
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## Dataset Structure
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### Data Instances
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```
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{
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"index": 0,
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"identifier": "init_g16_i",
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"segmentation": "init _ g 16 _ i"
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}
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```
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### Data Fields
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- `index`: a numerical index.
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- `identifier`: the original identifier.
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- `segmentation`: the gold segmentation for the identifier.
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## Dataset Creation
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- All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`.
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- 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.
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- There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ).
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- If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field.
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## Additional Information
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### Citation Information
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```
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@inproceedings{inproceedings,
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author = {Lawrie, Dawn and Binkley, David and Morrell, Christopher},
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year = {2010},
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month = {11},
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pages = {3 - 12},
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title = {Normalizing Source Code Vocabulary},
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journal = {Proceedings - Working Conference on Reverse Engineering, WCRE},
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doi = {10.1109/WCRE.2010.10}
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}
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```
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### Contributions
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This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.
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---
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| 2 |
+
annotations_creators:
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| 3 |
+
- expert-generated
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| 4 |
+
language_creators:
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+
- machine-generated
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language:
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- code
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license:
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- unknown
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multilinguality:
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- monolingual
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pretty_name: Binkley
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size_categories:
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+
- unknown
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source_datasets:
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- original
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task_categories:
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- structure-prediction
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task_ids:
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- structure-prediction-other-word-segmentation
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---
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+
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# Dataset Card for Binkley
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+
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## Dataset Description
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+
|
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+
- **Paper:** [Normalizing Source Code Vocabulary](https://www.researchgate.net/publication/224198190_Normalizing_Source_Code_Vocabulary)
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| 28 |
+
|
| 29 |
+
### Dataset Summary
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| 30 |
+
|
| 31 |
+
In programming languages, identifiers are tokens (also called symbols) which name language entities.
|
| 32 |
+
Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages.
|
| 33 |
+
|
| 34 |
+
Binkley is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier.
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| 35 |
+
|
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+
### Languages
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| 37 |
+
|
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+
- C
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+
- C++
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| 40 |
+
- Java
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| 41 |
+
|
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+
## Dataset Structure
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| 43 |
+
|
| 44 |
+
### Data Instances
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| 45 |
+
|
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+
```
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{
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"index": 0,
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"identifier": "init_g16_i",
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"segmentation": "init _ g 16 _ i"
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}
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```
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| 53 |
+
|
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+
### Data Fields
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| 55 |
+
|
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+
- `index`: a numerical index.
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| 57 |
+
- `identifier`: the original identifier.
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| 58 |
+
- `segmentation`: the gold segmentation for the identifier.
|
| 59 |
+
|
| 60 |
+
## Dataset Creation
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| 61 |
+
|
| 62 |
+
- All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`.
|
| 63 |
+
|
| 64 |
+
- 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.
|
| 65 |
+
|
| 66 |
+
- There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ).
|
| 67 |
+
|
| 68 |
+
- If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field.
|
| 69 |
+
|
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+
## Additional Information
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| 71 |
+
|
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+
### Citation Information
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| 73 |
+
|
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+
```
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+
@inproceedings{inproceedings,
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author = {Lawrie, Dawn and Binkley, David and Morrell, Christopher},
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| 77 |
+
year = {2010},
|
| 78 |
+
month = {11},
|
| 79 |
+
pages = {3 - 12},
|
| 80 |
+
title = {Normalizing Source Code Vocabulary},
|
| 81 |
+
journal = {Proceedings - Working Conference on Reverse Engineering, WCRE},
|
| 82 |
+
doi = {10.1109/WCRE.2010.10}
|
| 83 |
+
}
|
| 84 |
+
```
|
| 85 |
+
|
| 86 |
+
### Contributions
|
| 87 |
+
|
| 88 |
This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.
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