|
---
|
|
annotations_creators:
|
|
- machine-generated
|
|
language_creators:
|
|
- machine-generated
|
|
languages:
|
|
- en-IN
|
|
- en
|
|
licenses:
|
|
- unknown
|
|
multilinguality:
|
|
- monolingual
|
|
pretty_name: HashSet Distant Sampled
|
|
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](https://github.com/prashantkodali/HashSet)
|
|
- **Paper:** [HashSet -- A Dataset For Hashtag Segmentation](https://arxiv.org/abs/2201.06741)
|
|
|
|
### 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
|
|
|
|
Indian English.
|
|
|
|
## Dataset Structure
|
|
|
|
### Data Instances
|
|
|
|
```
|
|
{
|
|
'index': 282559,
|
|
'hashtag': 'Youth4Nation',
|
|
'segmentation': 'Youth 4 Nation'
|
|
}
|
|
```
|
|
|
|
### 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](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library. |
