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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  ### Dataset Summary
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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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- "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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- 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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- We therefore constructed the STAN large dataset of 12,594 hashtags with additional quality control for human annotations."
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  ### Languages
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  ### Dataset Summary
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+ Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
 
 
 
 
 
 
 
 
 
 
 
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  ### Languages
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