metadata

annotations_creators:
  - expert-generated
language_creators:
  - machine-generated
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - token-classification
task_ids: []
pretty_name: Dev-Stanford
tags:
  - 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.

Dataset Creation

All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: hashtag and segmentation or identifier and segmentation.
The only difference between hashtag and segmentation or between identifier and segmentation are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields.
There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as _ , :, ~ ).
If there are any annotations for named entity recognition and other token classification tasks, they are given in a spans field.

Additional Information

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.