Update README.md

README.md

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 ---
-license: other
+annotations_creators:
+- expert-generated
+language_creators:
+- machine-generated
+languages:
+- en
+licenses:
+- unknown
+multilinguality:
+- monolingual
+pretty_name: Dev-Stanford
+size_categories:
+- unknown
+source_datasets:
+- original
+task_categories:
+- structure-prediction
+task_ids:
+- structure-prediction-other-word-segmentation
 ---
+
+# Dataset Card for Dev-Stanford
+
+## Dataset Description
+
+- **Repository:** [ardax/hashtag-segmentor](https://github.com/ardax/hashtag-segmentor)
+- **Paper:** [Segmenting Hashtags and Analyzing Their Grammatical Structure](https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/asi.23989?author_access_token=qbKcE1jrre5nbv_Tn9csbU4keas67K9QMdWULTWMo8NOtY2aA39ck2w5Sm4ePQ1MZhbjCdEuaRlPEw2Kd12jzvwhwoWP0fdroZAwWsmXHPXxryDk_oBCup1i9_VDNIpU)
+
+### Dataset Summary
+
+1000 hashtags manually segmented by Çelebi et al. for development purposes, 
+randomly selected from the Stanford Sentiment Tweet Corpus by Sentiment140.
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+    "index": 15,
+    "hashtag": "marathonmonday",
+    "segmentation": "marathon monday"
+}
+```
+
+### Data Fields
+
+- `index`: a numerical index.
+- `hashtag`: the original hashtag.
+- `segmentation`: the gold segmentation for the hashtag.
+
+### Citation Information
+
+```
+@article{celebi2018segmenting,
+  title={Segmenting hashtags and analyzing their grammatical structure},
+  author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
+  journal={Journal of the Association for Information Science and Technology},
+  volume={69},
+  number={5},
+  pages={675--686},
+  year={2018},
+  publisher={Wiley Online Library}
+}
+```
+
+### Contributions
+
+This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library.