metadata

annotations_creators:
  - machine-generated
language_creators:
  - machine-generated
language:
  - hi
  - en
license:
  - unknown
multilinguality:
  - multilingual
pretty_name: HashSet Distant
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - structure-prediction
task_ids:
  - structure-prediction-other-word-segmentation

Dataset Card for HashSet Distant

Dataset Description

Repository: prashantkodali/HashSet
Paper: HashSet -- A Dataset For Hashtag Segmentation

Dataset Summary

Hashset is a new dataset consisiting on 1.9k manually annotated and 3.3M loosely supervised tweets for testing the efficiency of hashtag segmentation models. We compare State of The Art Hashtag Segmentation models on Hashset and other baseline datasets (STAN and BOUN). We compare and analyse the results across the datasets to argue that HashSet can act as a good benchmark for hashtag segmentation tasks.

HashSet Distant: 3.3M loosely collected camel cased hashtags containing hashtag and their segmentation.

Languages

Hindi and English.

Dataset Structure

Data Instances

{
  'index': 282559, 
  'hashtag': 'Youth4Nation', 
  'segmentation': 'Youth 4 Nation'
}

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{kodali2022hashset,
  title={HashSet--A Dataset For Hashtag Segmentation},
  author={Kodali, Prashant and Bhatnagar, Akshala and Ahuja, Naman and Shrivastava, Manish and Kumaraguru, Ponnurangam},
  journal={arXiv preprint arXiv:2201.06741},
  year={2022}
}

Contributions

This dataset was added by @ruanchaves while developing the hashformers library.