Fix `license` metadata

README.md

@@ -1,105 +1,105 @@
----
-annotations_creators:
-- expert-generated
-language_creators:
-- machine-generated
-languages:
-- en
-licenses:
-- unknown
-multilinguality:
-- monolingual
-pretty_name: STAN Small
-size_categories:
-- unknown
-source_datasets:
-- original
-task_categories:
-- structure-prediction
-- conditional-text-generation
-task_ids:
-- structure-prediction-other-word-segmentation
----
-
-# Dataset Card for STAN Small
-
-## 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
-
-- **Repository:** [mounicam/hashtag_master](https://github.com/mounicam/hashtag_master)
-- **Paper:** [Multi-task Pairwise Neural Ranking for Hashtag Segmentation](https://aclanthology.org/P19-1242/)
-
-### Dataset Summary
-
-Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
-
-### Languages
-
-English
-
-## Dataset Structure
-
-### Data Instances
-
-```
-{
-    "index": 300,
-    "hashtag": "microsoftfail",
-    "segmentation": "microsoft fail",
-    "alternatives": {
-        "segmentation": [
-            "Microsoft fail"
-        ]
-    }
-}
-```
-
-### Data Fields
-
-- `index`: a numerical index.
-- `hashtag`: the original hashtag.
-- `segmentation`: the gold segmentation for the hashtag.
-- `alternatives`: other segmentations that are also accepted as a gold segmentation.
-
-Although `segmentation` has exactly the same characters as `hashtag` except for the spaces, the segmentations inside `alternatives` may have characters corrected to uppercase.
-
-## 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
-
-```
-@misc{bansal2015deep,
-      title={Towards Deep Semantic Analysis Of Hashtags}, 
-      author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
-      year={2015},
-      eprint={1501.03210},
-      archivePrefix={arXiv},
-      primaryClass={cs.IR}
-}
-```
-
-### Contributions
-
+---
+annotations_creators:
+- expert-generated
+language_creators:
+- machine-generated
+language:
+- en
+license:
+- unknown
+multilinguality:
+- monolingual
+pretty_name: STAN Small
+size_categories:
+- unknown
+source_datasets:
+- original
+task_categories:
+- structure-prediction
+- conditional-text-generation
+task_ids:
+- structure-prediction-other-word-segmentation
+---
+
+# Dataset Card for STAN Small
+
+## 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
+
+- **Repository:** [mounicam/hashtag_master](https://github.com/mounicam/hashtag_master)
+- **Paper:** [Multi-task Pairwise Neural Ranking for Hashtag Segmentation](https://aclanthology.org/P19-1242/)
+
+### Dataset Summary
+
+Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+    "index": 300,
+    "hashtag": "microsoftfail",
+    "segmentation": "microsoft fail",
+    "alternatives": {
+        "segmentation": [
+            "Microsoft fail"
+        ]
+    }
+}
+```
+
+### Data Fields
+
+- `index`: a numerical index.
+- `hashtag`: the original hashtag.
+- `segmentation`: the gold segmentation for the hashtag.
+- `alternatives`: other segmentations that are also accepted as a gold segmentation.
+
+Although `segmentation` has exactly the same characters as `hashtag` except for the spaces, the segmentations inside `alternatives` may have characters corrected to uppercase.
+
+## 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
+
+```
+@misc{bansal2015deep,
+      title={Towards Deep Semantic Analysis Of Hashtags}, 
+      author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
+      year={2015},
+      eprint={1501.03210},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR}
+}
+```
+
+### Contributions
+
 This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.