Fix `license` metadata

README.md

@@ -1,117 +1,117 @@
----
-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
-- code-generation
-- conditional-text-generation
-task_ids:
-- structure-prediction-other-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
-
+---
+annotations_creators:
+- expert-generated
+language_creators:
+- machine-generated
+language:
+- code
+license:
+- unknown
+multilinguality:
+- monolingual
+pretty_name: Lynx
+size_categories:
+- unknown
+source_datasets:
+- original
+task_categories:
+- structure-prediction
+- code-generation
+- conditional-text-generation
+task_ids:
+- structure-prediction-other-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.