Update README.md

README.md

@@ -1,3 +1,70 @@
 ---
-license: other
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+languages:
+- en-IN
+licenses:
+- unknown
+multilinguality:
+- monolingual
+pretty_name: HashSet Distant Sampled
+size_categories:
+- unknown
+source_datasets:
+- original
+task_categories:
+- structure-prediction
+task_ids:
+- structure-prediction-other-word-segmentation
 ---
+
+# Dataset Card for HashSet Distant Sampled
+
+## 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.
+
+HashSet Distant Sampled is a sample of 20,000 camel cased hashtags from the HashSet Distant dataset.
+
+### Languages
+
+Indian English.
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+  'index': 282559, 
+  'hashtag': 'Youth4Nation', 
+  'segmentation': 'Youth 4 Nation'
+}
+```
+
+### 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.