--- annotations_creators: - expert-generated language_creators: - machine-generated language: - ru license: - unknown multilinguality: - monolingual size_categories: - unknown source_datasets: - original task_categories: - structure-prediction task_ids: [] pretty_name: NRU-HSE tags: - word-segmentation --- # Dataset Card for NRU-HSE ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Dataset Creation](#dataset-creation) - [Additional Information](#additional-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## 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. ## 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{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.