Update README.md

README.md

@@ -1,3 +1,70 @@
 ---
-license: other
+annotations_creators:
+- expert-generated
+language_creators:
+- machine-generated
+languages:
+- en
+licenses:
+- unknown
+multilinguality:
+- monolingual
+pretty_name: BOUN
+size_categories:
+- unknown
+source_datasets:
+- original
+task_categories:
+- structure-prediction
+task_ids:
+- structure-prediction-other-word-segmentation
 ---
+
+# Dataset Card for BOUN
+
+## Dataset Description
+
+- **Repository:** [ardax/hashtag-segmentor](https://github.com/ardax/hashtag-segmentor)
+- **Paper:** [Segmenting hashtags using automatically created training data](http://www.lrec-conf.org/proceedings/lrec2016/pdf/708_Paper.pdf)
+
+### Dataset Summary
+
+Automatically segmented 803K SNAP Twitter Data Set hashtags with the heuristic described in the paper "Segmenting hashtags using automatically created training data".
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+    "index": 0,
+    "hashtag": "BrandThunder",
+    "segmentation": "Brand Thunder"
+}
+```
+
+### Data Fields
+
+- `index`: a numerical index.
+- `hashtag`: the original hashtag.
+- `segmentation`: the gold segmentation for the hashtag.
+
+### Citation Information
+
+```
+@inproceedings{celebi2016segmenting,
+  title={Segmenting hashtags using automatically created training data},
+  author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
+  booktitle={Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
+  pages={2981--2985},
+  year={2016}
+}
+```
+
+### Contributions
+
+This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library.