Datasets:
stan_small

Languages: English
Multilinguality: monolingual
Size Categories: unknown
Language Creators: machine-generated
Annotations Creators: expert-generated
Source Datasets: original
Licenses: unknown
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- license: other
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - machine-generated
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+ languages:
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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: STAN Small
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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 STAN Small
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+
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+ ## Dataset Description
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+
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+ - **Repository:** [mounicam/hashtag_master](https://github.com/mounicam/hashtag_master)
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+ - **Paper:** [Multi-task Pairwise Neural Ranking for Hashtag Segmentation](https://aclanthology.org/P19-1242/)
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+
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+ ### Dataset Summary
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+
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+ The description below was taken from the paper "Multi-task Pairwise Neural Ranking for Hashtag Segmentation"
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+ by Maddela et al..
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+
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+ "STAN large, our new expert curated dataset, which includes all 12,594 unique English hashtags and their
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+ associated tweets from the same Stanford dataset.
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+
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+ STAN small is the most commonly used dataset in previous work. However, after reexamination, we found annotation
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+ errors in 6.8% of the hashtags in this dataset, which is significant given that the error rate of the state-of-the art
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+ models is only around 10%. Most of the errors were related to named entities. For example, #lionhead,
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+ which refers to the “Lionhead” video game company, was labeled as “lion head”.
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+
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+ We therefore constructed the STAN large dataset of 12,594 hashtags with additional quality control for human annotations."
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+
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+ ### Languages
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+
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+ 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": 6,
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+ "hashtag": "justsayin",
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+ "segmentation": "just sayin",
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+ "alternatives": {
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+ "segmentation": [
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+ "just sayin",
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+ "just sayin "
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+ ]
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+ }
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ - `index`: a numerical index.
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+ - `hashtag`: the original hashtag.
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+ - `segmentation`: the gold segmentation for the hashtag.
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+ - `alternatives`: other segmentations that are also accepted as a gold segmentation.
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+
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+ ### Citation Information
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+
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+ ```
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+ @misc{bansal2015deep,
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+ title={Towards Deep Semantic Analysis Of Hashtags},
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+ author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
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+ year={2015},
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+ eprint={1501.03210},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.IR}
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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.