metadata

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
Paper: Segmenting Hashtags and Analyzing Their Grammatical Structure

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 while developing the hashformers library.