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