---
annotations_creators:
- expert-generated
language_creators:
- machine-generated
languages:
- ru
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: NRU-HSE
size_categories:
- unknown
source_datasets:
- original
task_categories:
- structure-prediction
task_ids:
- structure-prediction-other-word-segmentation
---

# Dataset Card for NRU-HSE

## Dataset Description

- **Repository:** [glushkovato/hashtag_segmentation](https://github.com/glushkovato/hashtag_segmentation/)
- **Paper:** [Char-RNN and Active Learning for Hashtag Segmentation](https://arxiv.org/abs/1911.03270)

### Dataset Summary

Real hashtags collected from several pages about civil services on vk.com (a Russian social network) and then segmented manually.

### Languages

Russian

## Dataset Structure

### Data Instances

```
{
  "index": 0, 
  "hashtag": "ЁлкаВЗазеркалье",
  "segmentation": "Ёлка В Зазеркалье"
}
```

### Data Fields

- `index`: a numerical index.
- `hashtag`: the original hashtag.
- `segmentation`: the gold segmentation for the hashtag.

### Citation Information

```
@article{glushkova2019char,
  title={Char-RNN and Active Learning for Hashtag Segmentation},
  author={Glushkova, Taisiya and Artemova, Ekaterina},
  journal={arXiv preprint arXiv:1911.03270},
  year={2019}
}
```

### Contributions

This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library.