Fix `license` metadata

We recently updated the datasets metadata for consistency with other repo types (models & spaces)

Thanks! 🙏

README.md

@@ -1,81 +1,81 @@
----
-annotations_creators:
-- machine-generated
-language_creators:
-- machine-generated
-languages:
-- hi
-- en
-licenses:
-- unknown
-multilinguality:
-- multilingual
-pretty_name: HashSet Distant
-size_categories:
-- unknown
-source_datasets:
-- original
-task_categories:
-- structure-prediction
-task_ids:
-- structure-prediction-other-word-segmentation
----
-
-# Dataset Card for HashSet Distant
-
-## Dataset Description
-
-- **Repository:** [prashantkodali/HashSet](https://github.com/prashantkodali/HashSet)
-- **Paper:** [HashSet -- A Dataset For Hashtag Segmentation](https://arxiv.org/abs/2201.06741)
-
-### Dataset Summary
-
-Hashset is a new dataset consisiting on 1.9k manually annotated and 3.3M loosely supervised tweets for testing the 
-efficiency of hashtag segmentation models. We compare State of The Art Hashtag Segmentation models on Hashset and other 
-baseline datasets (STAN and BOUN). We compare and analyse the results across the datasets to argue that HashSet can act 
-as a good benchmark for hashtag segmentation tasks.
-
-HashSet Distant: 3.3M loosely collected camel cased hashtags containing hashtag and their segmentation.
-
-### Languages
-
-Hindi and English.
-
-## Dataset Structure
-
-### Data Instances
-
-```
-{
-  'index': 282559, 
-  'hashtag': 'Youth4Nation', 
-  'segmentation': 'Youth 4 Nation'
-}
-```
-
-## 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
-
-```
-@article{kodali2022hashset,
-  title={HashSet--A Dataset For Hashtag Segmentation},
-  author={Kodali, Prashant and Bhatnagar, Akshala and Ahuja, Naman and Shrivastava, Manish and Kumaraguru, Ponnurangam},
-  journal={arXiv preprint arXiv:2201.06741},
-  year={2022}
-}
-```
-
-### Contributions
-
+---
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+language:
+- hi
+- en
+license:
+- unknown
+multilinguality:
+- multilingual
+pretty_name: HashSet Distant
+size_categories:
+- unknown
+source_datasets:
+- original
+task_categories:
+- structure-prediction
+task_ids:
+- structure-prediction-other-word-segmentation
+---
+
+# Dataset Card for HashSet Distant
+
+## Dataset Description
+
+- **Repository:** [prashantkodali/HashSet](https://github.com/prashantkodali/HashSet)
+- **Paper:** [HashSet -- A Dataset For Hashtag Segmentation](https://arxiv.org/abs/2201.06741)
+
+### Dataset Summary
+
+Hashset is a new dataset consisiting on 1.9k manually annotated and 3.3M loosely supervised tweets for testing the 
+efficiency of hashtag segmentation models. We compare State of The Art Hashtag Segmentation models on Hashset and other 
+baseline datasets (STAN and BOUN). We compare and analyse the results across the datasets to argue that HashSet can act 
+as a good benchmark for hashtag segmentation tasks.
+
+HashSet Distant: 3.3M loosely collected camel cased hashtags containing hashtag and their segmentation.
+
+### Languages
+
+Hindi and English.
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+  'index': 282559, 
+  'hashtag': 'Youth4Nation', 
+  'segmentation': 'Youth 4 Nation'
+}
+```
+
+## 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
+
+```
+@article{kodali2022hashset,
+  title={HashSet--A Dataset For Hashtag Segmentation},
+  author={Kodali, Prashant and Bhatnagar, Akshala and Ahuja, Naman and Shrivastava, Manish and Kumaraguru, Ponnurangam},
+  journal={arXiv preprint arXiv:2201.06741},
+  year={2022}
+}
+```
+
+### Contributions
+
 This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.